Specialist - Data Sciences

Role description

Job Summary

Seeking an AI Engineer skilled in GenAI LLMOps and MLOps to design develop and deploy scalable productiongrade machine learning and generative AI solutions

Job Description

Design develop and deploy productiongrade Machine Learning and Generative AI solutions Build intelligent systems including predictive ML models covering complete model lifecycle management Develop advanced applied Large Language Model LLM applications and RetrievalAugmented Generation RAG pipelines Automate complex workflows and enhance user experiences through AIdriven solutions Collaborate with crossfunctional teams to transition AI models from prototypes to scalable secure and highperformance enterprise APIs Utilize expertise in Python programming and SQL for solution development Implement Generative AI techniques including LLMs LangChain LangGraphs Claude Gemini prompt engineering and LLMOps Apply Machine Learning and Deep Learning frameworks such as PyTorch TensorFlow ScikitLearn and XGBoost Work with vector databases like Pgvector and Chroma for efficient data retrieval Leverage distributed processing tools including Apache Spark and Apache Iceberg Employ MLOps practices for deployment using Docker KubernetesOpenShift and FastAPI Build highperformance scalable APIs with Python FastAPI to expose AI capabilities required for solutions

Roles and Responsibilities

Design and implement endtoend AIML solutions incorporating GenAI and LLMOps best practices

Develop and maintain scalable secure APIs for AI model deployment

Manage full ML model lifecycle including training validation deployment monitoring and retraining

Collaborate with data scientists engineers and product teams to integrate AI solutions into enterprise applications

Optimize AI workflows to ensure high performance and reliability in production environments

Stay updated with the latest advancements in Generative AI LLMOps and MLOps to continuously improve solutions

Troubleshoot and resolve issues related to AI model deployment and production systems

Document AI system architecture deployment processes and best practices