AI/ML Architect, Java Architect / Solution Architect

Location: Chennai/Bangalore/Pune/HyderabadExperience Range: 8+ YearsClick this Link to know more about you : https://forms.office.com/r/BeMsh3teDCJob Title: AI/ML ArchitectKey ResponsibilitiesDesign and review machine learning architecture pipelines end-to-endArchitect scalable models using tools like TensorFlow, PyTorch, Scikit-learnDrive data strategy, feature stores, model lifecycle (training, deployment, monitoring)Collaborate with data engineering and product teams to align technical goalsDefine standards for MLOps, model governance, and responsible AIMust-Have Skills8+ years in ML/DL, data science, or AI-related rolesExpertise in Python, ML frameworks, distributed computing (Spark, Dask)Cloud-native ML deployment on AWS SageMaker, Azure ML, GCP Vertex AIKnowledge of Kubeflow, MLFlow, Airflow, Docker/K8s for ML pipelinesStrong grasp of ML lifecycle management, monitoring, and retrainingJob Title: Java ArchitectKey ResponsibilitiesOwn the technical design for backend systems built on Java / Spring BootCreate solution blueprints, architecture documents, and design patternsGuide teams on microservices, containerization, API design, and DevOpsConduct code reviews, architecture assessments, and risk mitigationCollaborate with product and infrastructure teams for seamless deliveryMust-Have SkillsProficiency in Java 11+/Spring Boot, RESTful APIs, ORM frameworksExperience with Kubernetes, Docker, messaging systems (Kafka, RabbitMQ)Strong grasp of cloud-native development (AWS, Azure, GCP)In-depth understanding of microservices, DDD, clean architecturePerformance tuning, scalability, and reliability designJob Title: Solution ArchitectKey ResponsibilitiesAnalyze requirements and design technical solutions across platformsCreate architecture roadmaps for applications, integrations, and cloud infrastructureLead POCs, architecture evaluations, and tech selectionAlign solutions with enterprise architecture standards and security best practicesAct as a technical bridge between stakeholders, developers, and leadershipMust-Have SkillsStrong experience in application architecture, APIs, and system integrationFamiliarity with cloud platforms (Azure, AWS, GCP)Solid understanding of data architecture, DevOps practices, CI/CD pipelinesExperience with design patterns, scalability, and resilience planningGreat communication, documentation, and stakeholder management skills