Barracuda Networks Inc. Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-27", "description": "
Come Join Our Passionate Team!\u00A0 At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks,\u00A0data,\u00A0and applications with innovative solutions that grow and adapt\u00A0to\u00A0our customers\u2019\u00A0journeys. More than 220,000 organizations worldwide trust Barracuda to protect them \u2014 in ways they may not even know they are at risk \u2014 so they can focus on taking their business to the next level.\u00A0
\u00A0
We know a diverse workforce adds to our collective value and strength as an organization.\u00A0 Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and\u00A0equitable\u00A0compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.\u00A0\u00A0Envision yourself at Barracuda:\u00A0We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop\u00A0cutting-edge\u00A0Machine Learning\u00A0detection solutions\u00A0for our email protection products. As part of the\u00A0Efficacy\u00A0engineering team, you will\u00A0be responsible for\u00A0designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect\u00A0threats\u00A0in real-time. You will be part of a team that\u00A0is responsible for\u00A0detecting\u00A0email\u00A0threats across our customers. You\u00A0possess\u00A0strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning.\u00A0You help by developing detection methods to make sure we can identify potential threats and take action to stop them.\u00A0This\u00A0is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity.\u00A0You will\u00A0collaborate\u00A0with other team members\u00A0every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing\u00A0mindset. You will be a leader within the team and act as a mentor to other team members.\u00A0\u00A0What\u00A0you'll\u00A0be working on:\u00A0\u00A0\u00A0\u00A0
- Analyze vast amounts of data to\u00A0identify\u00A0threats and devise innovative algorithms to detect them in real-time\u00A0
- Research and\u00A0develop\u00A0new\u00A0email threat\u00A0detections to support the\u00A0ever-changing\u00A0cyber space\u00A0
- Build and train machine learning classifiers to detect\u00A0attacks across our\u00A0email protection\u00A0products\u00A0
- Evaluate the performance of your algorithms and continuously optimize them\u00A0
- Collaborate with an elite team of\u00A0machine learning and software\u00A0engineers to scale your algorithms and bring them to production\u00A0
- Leverage the latest AI to accelerate delivery\u00A0of detection solutions\u00A0
- Work with\u00A0cutting-edge\u00A0technologies in a fast-paced environment\u00A0\u00A0
- Communicate clearly and effectively, both written and orally, the risks that exist and remediations\u00A0required\u00A0for any security incident.\u00A0\u00A0
- Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience\u00A0
\u00A0What you will bring to the role:\u00A0
- Bachelor's degree in\u00A0computer science\u00A0or\u00A0electrical engineering. An\u00A0advanced degree is a plus; or equivalent work experience\u00A0
- 4-5 years of experience in creating and\u00A0maintaining\u00A0machine learning models\u00A0
- Proven\u00A0track record\u00A0in developing production-grade machine learning algorithms that solve practical problems\u00A0
- 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)\u00A0
- Visceral understanding of probability and supervised/unsupervised learning\u00A0
- Experience working with Databricks and SQL.\u00A0
- Hands on experience with cloud architecture such AWS or Azure\u00A0is a plus.\u00A0
- Experience with\u00A0Deep learning\u00A0is a plus\u00A0
- Hands-on experience with\u00A0MLOps\u00A0tools (MLFlow) for model deployment and inference is a plus.\u00A0
- Experience with Identity Access Graph/Knowledge\u00A0graphs\u00A0and Graph modelling is a huge plus.\u00A0
- Experience in cybersecurity is a plus\u00A0
- Experience\u00A0using AI\u00A0features for model inference LLMs, RAG systems, and evaluation frameworks\u00A0is a plus\u00A0
- Entrepreneurial spirit and extreme sense of ownership\u00A0
- Deep desire to make our customers happy and provide best-in-class machine learning detections\u00A0
\u00A0What\u00A0you\u2019ll\u00A0get from us:\u00A0A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility \u2013 there are opportunities for cross training and the ability to\u00A0attain\u00A0your next career step within Barracuda.\u00A0
- High-quality health benefits\u00A0
- Retirement Plan with employer match\u00A0
- Career-growth opportunities\u00A0
- Flexible Time Off and Paid Time Off benefits\u00A0
", "hiringOrganization": "Barracuda Networks Inc.", "industry": "Engineering", "identifier": "oE5cAfwf", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore ", "addressRegion": "Karnataka,", "addressCountry": "India" } } ], "title": "Senior Machine Learning Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Senior Machine Learning Engineer Engineering Bangalore , Karnataka, Apply Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt to our customers’ journeys. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda: We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members. What you'll be working on: Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time Research and develop new email threat detections to support the ever-changing cyber space Build and train machine learning classifiers to detect attacks across our email protection products Evaluate the performance of your algorithms and continuously optimize them Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production Leverage the latest AI to accelerate delivery of detection solutions Work with cutting-edge technologies in a fast-paced environment Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident. Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience What you will bring to the role: Bachelor's degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience 4-5 years of experience in creating and maintaining machine learning models Proven track record in developing production-grade machine learning algorithms that solve practical problems 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages) Visceral understanding of probability and supervised/unsupervised learning Experience working with Databricks and SQL. Hands on experience with cloud architecture such AWS or Azure is a plus. Experience with Deep learning is a plus Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus. Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus. Experience in cybersecurity is a plus Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus Entrepreneurial spirit and extreme sense of ownership Deep desire to make our customers happy and provide best-in-class machine learning detections What you’ll get from us: A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. High-quality health benefits Retirement Plan with employer match Career-growth opportunities Flexible Time Off and Paid Time Off benefits Volunteer opportunities Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Powered by Jobvite
Barracuda Networks Inc. Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-27", "description": "
Come Join Our Passionate Team!\u00A0 At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks,\u00A0data,\u00A0and applications with innovative solutions that grow and adapt\u00A0to\u00A0our customers\u2019\u00A0journeys. More than 220,000 organizations worldwide trust Barracuda to protect them \u2014 in ways they may not even know they are at risk \u2014 so they can focus on taking their business to the next level.\u00A0
\u00A0
We know a diverse workforce adds to our collective value and strength as an organization.\u00A0 Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and\u00A0equitable\u00A0compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.\u00A0\u00A0Envision yourself at Barracuda:\u00A0We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop\u00A0cutting-edge\u00A0Machine Learning\u00A0detection solutions\u00A0for our email protection products. As part of the\u00A0Efficacy\u00A0engineering team, you will\u00A0be responsible for\u00A0designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect\u00A0threats\u00A0in real-time. You will be part of a team that\u00A0is responsible for\u00A0detecting\u00A0email\u00A0threats across our customers. You\u00A0possess\u00A0strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning.\u00A0You help by developing detection methods to make sure we can identify potential threats and take action to stop them.\u00A0This\u00A0is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity.\u00A0You will\u00A0collaborate\u00A0with other team members\u00A0every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing\u00A0mindset. You will be a leader within the team and act as a mentor to other team members.\u00A0\u00A0What\u00A0you'll\u00A0be working on:\u00A0\u00A0\u00A0\u00A0
- Analyze vast amounts of data to\u00A0identify\u00A0threats and devise innovative algorithms to detect them in real-time\u00A0
- Research and\u00A0develop\u00A0new\u00A0email threat\u00A0detections to support the\u00A0ever-changing\u00A0cyber space\u00A0
- Build and train machine learning classifiers to detect\u00A0attacks across our\u00A0email protection\u00A0products\u00A0
- Evaluate the performance of your algorithms and continuously optimize them\u00A0
- Collaborate with an elite team of\u00A0machine learning and software\u00A0engineers to scale your algorithms and bring them to production\u00A0
- Leverage the latest AI to accelerate delivery\u00A0of detection solutions\u00A0
- Work with\u00A0cutting-edge\u00A0technologies in a fast-paced environment\u00A0\u00A0
- Communicate clearly and effectively, both written and orally, the risks that exist and remediations\u00A0required\u00A0for any security incident.\u00A0\u00A0
- Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience\u00A0
\u00A0What you will bring to the role:\u00A0
- Bachelor's degree in\u00A0computer science\u00A0or\u00A0electrical engineering. An\u00A0advanced degree is a plus; or equivalent work experience\u00A0
- 4-5 years of experience in creating and\u00A0maintaining\u00A0machine learning models\u00A0
- Proven\u00A0track record\u00A0in developing production-grade machine learning algorithms that solve practical problems\u00A0
- 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)\u00A0
- Visceral understanding of probability and supervised/unsupervised learning\u00A0
- Experience working with Databricks and SQL.\u00A0
- Hands on experience with cloud architecture such AWS or Azure\u00A0is a plus.\u00A0
- Experience with\u00A0Deep learning\u00A0is a plus\u00A0
- Hands-on experience with\u00A0MLOps\u00A0tools (MLFlow) for model deployment and inference is a plus.\u00A0
- Experience with Identity Access Graph/Knowledge\u00A0graphs\u00A0and Graph modelling is a huge plus.\u00A0
- Experience in cybersecurity is a plus\u00A0
- Experience\u00A0using AI\u00A0features for model inference LLMs, RAG systems, and evaluation frameworks\u00A0is a plus\u00A0
- Entrepreneurial spirit and extreme sense of ownership\u00A0
- Deep desire to make our customers happy and provide best-in-class machine learning detections\u00A0
\u00A0What\u00A0you\u2019ll\u00A0get from us:\u00A0A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility \u2013 there are opportunities for cross training and the ability to\u00A0attain\u00A0your next career step within Barracuda.\u00A0
- High-quality health benefits\u00A0
- Retirement Plan with employer match\u00A0
- Career-growth opportunities\u00A0
- Flexible Time Off and Paid Time Off benefits\u00A0
", "hiringOrganization": "Barracuda Networks Inc.", "industry": "Engineering", "identifier": "oE5cAfwf", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore ", "addressRegion": "Karnataka,", "addressCountry": "India" } } ], "title": "Senior Machine Learning Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Senior Machine Learning Engineer Engineering Bangalore , Karnataka, Apply Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt to our customers’ journeys. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda: We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members. What you'll be working on: Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time Research and develop new email threat detections to support the ever-changing cyber space Build and train machine learning classifiers to detect attacks across our email protection products Evaluate the performance of your algorithms and continuously optimize them Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production Leverage the latest AI to accelerate delivery of detection solutions Work with cutting-edge technologies in a fast-paced environment Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident. Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience What you will bring to the role: Bachelor's degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience 4-5 years of experience in creating and maintaining machine learning models Proven track record in developing production-grade machine learning algorithms that solve practical problems 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages) Visceral understanding of probability and supervised/unsupervised learning Experience working with Databricks and SQL. Hands on experience with cloud architecture such AWS or Azure is a plus. Experience with Deep learning is a plus Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus. Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus. Experience in cybersecurity is a plus Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus Entrepreneurial spirit and extreme sense of ownership Deep desire to make our customers happy and provide best-in-class machine learning detections What you’ll get from us: A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. High-quality health benefits Retirement Plan with employer match Career-growth opportunities Flexible Time Off and Paid Time Off benefits Volunteer opportunities Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Powered by Jobvite
Barracuda Networks Inc. Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-27", "description": "
Come Join Our Passionate Team!\u00A0 At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks,\u00A0data,\u00A0and applications with innovative solutions that grow and adapt\u00A0to\u00A0our customers\u2019\u00A0journeys. More than 220,000 organizations worldwide trust Barracuda to protect them \u2014 in ways they may not even know they are at risk \u2014 so they can focus on taking their business to the next level.\u00A0
\u00A0
We know a diverse workforce adds to our collective value and strength as an organization.\u00A0 Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and\u00A0equitable\u00A0compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.\u00A0\u00A0Envision yourself at Barracuda:\u00A0We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop\u00A0cutting-edge\u00A0Machine Learning\u00A0detection solutions\u00A0for our email protection products. As part of the\u00A0Efficacy\u00A0engineering team, you will\u00A0be responsible for\u00A0designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect\u00A0threats\u00A0in real-time. You will be part of a team that\u00A0is responsible for\u00A0detecting\u00A0email\u00A0threats across our customers. You\u00A0possess\u00A0strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning.\u00A0You help by developing detection methods to make sure we can identify potential threats and take action to stop them.\u00A0This\u00A0is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity.\u00A0You will\u00A0collaborate\u00A0with other team members\u00A0every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing\u00A0mindset. You will be a leader within the team and act as a mentor to other team members.\u00A0\u00A0What\u00A0you'll\u00A0be working on:\u00A0\u00A0\u00A0\u00A0
- Analyze vast amounts of data to\u00A0identify\u00A0threats and devise innovative algorithms to detect them in real-time\u00A0
- Research and\u00A0develop\u00A0new\u00A0email threat\u00A0detections to support the\u00A0ever-changing\u00A0cyber space\u00A0
- Build and train machine learning classifiers to detect\u00A0attacks across our\u00A0email protection\u00A0products\u00A0
- Evaluate the performance of your algorithms and continuously optimize them\u00A0
- Collaborate with an elite team of\u00A0machine learning and software\u00A0engineers to scale your algorithms and bring them to production\u00A0
- Leverage the latest AI to accelerate delivery\u00A0of detection solutions\u00A0
- Work with\u00A0cutting-edge\u00A0technologies in a fast-paced environment\u00A0\u00A0
- Communicate clearly and effectively, both written and orally, the risks that exist and remediations\u00A0required\u00A0for any security incident.\u00A0\u00A0
- Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience\u00A0
\u00A0What you will bring to the role:\u00A0
- Bachelor's degree in\u00A0computer science\u00A0or\u00A0electrical engineering. An\u00A0advanced degree is a plus; or equivalent work experience\u00A0
- 4-5 years of experience in creating and\u00A0maintaining\u00A0machine learning models\u00A0
- Proven\u00A0track record\u00A0in developing production-grade machine learning algorithms that solve practical problems\u00A0
- 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)\u00A0
- Visceral understanding of probability and supervised/unsupervised learning\u00A0
- Experience working with Databricks and SQL.\u00A0
- Hands on experience with cloud architecture such AWS or Azure\u00A0is a plus.\u00A0
- Experience with\u00A0Deep learning\u00A0is a plus\u00A0
- Hands-on experience with\u00A0MLOps\u00A0tools (MLFlow) for model deployment and inference is a plus.\u00A0
- Experience with Identity Access Graph/Knowledge\u00A0graphs\u00A0and Graph modelling is a huge plus.\u00A0
- Experience in cybersecurity is a plus\u00A0
- Experience\u00A0using AI\u00A0features for model inference LLMs, RAG systems, and evaluation frameworks\u00A0is a plus\u00A0
- Entrepreneurial spirit and extreme sense of ownership\u00A0
- Deep desire to make our customers happy and provide best-in-class machine learning detections\u00A0
\u00A0What\u00A0you\u2019ll\u00A0get from us:\u00A0A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility \u2013 there are opportunities for cross training and the ability to\u00A0attain\u00A0your next career step within Barracuda.\u00A0
- High-quality health benefits\u00A0
- Retirement Plan with employer match\u00A0
- Career-growth opportunities\u00A0
- Flexible Time Off and Paid Time Off benefits\u00A0
", "hiringOrganization": "Barracuda Networks Inc.", "industry": "Engineering", "identifier": "oE5cAfwf", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore ", "addressRegion": "Karnataka,", "addressCountry": "India" } } ], "title": "Senior Machine Learning Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Senior Machine Learning Engineer Engineering Bangalore , Karnataka, Apply Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt to our customers’ journeys. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda: We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members. What you'll be working on: Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time Research and develop new email threat detections to support the ever-changing cyber space Build and train machine learning classifiers to detect attacks across our email protection products Evaluate the performance of your algorithms and continuously optimize them Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production Leverage the latest AI to accelerate delivery of detection solutions Work with cutting-edge technologies in a fast-paced environment Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident. Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience What you will bring to the role: Bachelor's degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience 4-5 years of experience in creating and maintaining machine learning models Proven track record in developing production-grade machine learning algorithms that solve practical problems 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages) Visceral understanding of probability and supervised/unsupervised learning Experience working with Databricks and SQL. Hands on experience with cloud architecture such AWS or Azure is a plus. Experience with Deep learning is a plus Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus. Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus. Experience in cybersecurity is a plus Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus Entrepreneurial spirit and extreme sense of ownership Deep desire to make our customers happy and provide best-in-class machine learning detections What you’ll get from us: A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. High-quality health benefits Retirement Plan with employer match Career-growth opportunities Flexible Time Off and Paid Time Off benefits Volunteer opportunities Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Powered by Jobvite
{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-27", "description": "
Come Join Our Passionate Team!\u00A0 At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks,\u00A0data,\u00A0and applications with innovative solutions that grow and adapt\u00A0to\u00A0our customers\u2019\u00A0journeys. More than 220,000 organizations worldwide trust Barracuda to protect them \u2014 in ways they may not even know they are at risk \u2014 so they can focus on taking their business to the next level.\u00A0
\u00A0
We know a diverse workforce adds to our collective value and strength as an organization.\u00A0 Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and\u00A0equitable\u00A0compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.\u00A0\u00A0Envision yourself at Barracuda:\u00A0We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop\u00A0cutting-edge\u00A0Machine Learning\u00A0detection solutions\u00A0for our email protection products. As part of the\u00A0Efficacy\u00A0engineering team, you will\u00A0be responsible for\u00A0designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect\u00A0threats\u00A0in real-time. You will be part of a team that\u00A0is responsible for\u00A0detecting\u00A0email\u00A0threats across our customers. You\u00A0possess\u00A0strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning.\u00A0You help by developing detection methods to make sure we can identify potential threats and take action to stop them.\u00A0This\u00A0is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity.\u00A0You will\u00A0collaborate\u00A0with other team members\u00A0every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing\u00A0mindset. You will be a leader within the team and act as a mentor to other team members.\u00A0\u00A0What\u00A0you'll\u00A0be working on:\u00A0\u00A0\u00A0\u00A0
- Analyze vast amounts of data to\u00A0identify\u00A0threats and devise innovative algorithms to detect them in real-time\u00A0
- Research and\u00A0develop\u00A0new\u00A0email threat\u00A0detections to support the\u00A0ever-changing\u00A0cyber space\u00A0
- Build and train machine learning classifiers to detect\u00A0attacks across our\u00A0email protection\u00A0products\u00A0
- Evaluate the performance of your algorithms and continuously optimize them\u00A0
- Collaborate with an elite team of\u00A0machine learning and software\u00A0engineers to scale your algorithms and bring them to production\u00A0
- Leverage the latest AI to accelerate delivery\u00A0of detection solutions\u00A0
- Work with\u00A0cutting-edge\u00A0technologies in a fast-paced environment\u00A0\u00A0
- Communicate clearly and effectively, both written and orally, the risks that exist and remediations\u00A0required\u00A0for any security incident.\u00A0\u00A0
- Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience\u00A0
\u00A0What you will bring to the role:\u00A0
- Bachelor's degree in\u00A0computer science\u00A0or\u00A0electrical engineering. An\u00A0advanced degree is a plus; or equivalent work experience\u00A0
- 4-5 years of experience in creating and\u00A0maintaining\u00A0machine learning models\u00A0
- Proven\u00A0track record\u00A0in developing production-grade machine learning algorithms that solve practical problems\u00A0
- 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)\u00A0
- Visceral understanding of probability and supervised/unsupervised learning\u00A0
- Experience working with Databricks and SQL.\u00A0
- Hands on experience with cloud architecture such AWS or Azure\u00A0is a plus.\u00A0
- Experience with\u00A0Deep learning\u00A0is a plus\u00A0
- Hands-on experience with\u00A0MLOps\u00A0tools (MLFlow) for model deployment and inference is a plus.\u00A0
- Experience with Identity Access Graph/Knowledge\u00A0graphs\u00A0and Graph modelling is a huge plus.\u00A0
- Experience in cybersecurity is a plus\u00A0
- Experience\u00A0using AI\u00A0features for model inference LLMs, RAG systems, and evaluation frameworks\u00A0is a plus\u00A0
- Entrepreneurial spirit and extreme sense of ownership\u00A0
- Deep desire to make our customers happy and provide best-in-class machine learning detections\u00A0
\u00A0What\u00A0you\u2019ll\u00A0get from us:\u00A0A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility \u2013 there are opportunities for cross training and the ability to\u00A0attain\u00A0your next career step within Barracuda.\u00A0
- High-quality health benefits\u00A0
- Retirement Plan with employer match\u00A0
- Career-growth opportunities\u00A0
- Flexible Time Off and Paid Time Off benefits\u00A0
", "hiringOrganization": "Barracuda Networks Inc.", "industry": "Engineering", "identifier": "oE5cAfwf", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore ", "addressRegion": "Karnataka,", "addressCountry": "India" } } ], "title": "Senior Machine Learning Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Senior Machine Learning Engineer Engineering Bangalore , Karnataka, Apply Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt to our customers’ journeys. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda: We are looking for a talented Senior Machine Learning Engineer to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members. What you'll be working on: Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time Research and develop new email threat detections to support the ever-changing cyber space Build and train machine learning classifiers to detect attacks across our email protection products Evaluate the performance of your algorithms and continuously optimize them Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production Leverage the latest AI to accelerate delivery of detection solutions Work with cutting-edge technologies in a fast-paced environment Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident. Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience What you will bring to the role: Bachelor's degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience 4-5 years of experience in creating and maintaining machine learning models Proven track record in developing production-grade machine learning algorithms that solve practical problems 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages) Visceral understanding of probability and supervised/unsupervised learning Experience working with Databricks and SQL. Hands on experience with cloud architecture such AWS or Azure is a plus. Experience with Deep learning is a plus Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus. Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus. Experience in cybersecurity is a plus Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus Entrepreneurial spirit and extreme sense of ownership Deep desire to make our customers happy and provide best-in-class machine learning detections What you’ll get from us: A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. High-quality health benefits Retirement Plan with employer match Career-growth opportunities Flexible Time Off and Paid Time Off benefits Volunteer opportunities Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email
Senior Machine Learning Engineer
Engineering Bangalore , Karnataka,