Senior AIML Engineer (GenAI & MLOps)

Job Title: Senior AI/ML Engineer (GenAI & MLOps)

Location: Remote
Duration: 12 Months (with possible extension)

Candidates must have active LinkedIn.

• Hands-on AI/ML Engineering experience building and deploying models in production
• Generative AI experience especially RAG (Retrieval-Augmented Generation) architectures
• ML/GenAI pipeline development and deployment experience
• Strong MLOps experience (deployment monitoring CI/CD for ML workflows)
• Strong AWS experience (SageMaker Lambda S3 ECS/EKS)
• Python expertise with LangChain PyTorch TensorFlow or similar AI/ML frameworks
• Productionization experience - taking AI/ML solutions from development to production
• Experience building and consuming REST APIs
• Workflow orchestration experience (Airflow Step Functions or similar)
• Experience with data pipelines and distributed systems

• Docker and Kubernetes experience
• Healthcare domain experience
• Experience working in large enterprise AI environments

• Design build and deploy ML and Generative AI pipelines from development through production.
• Implement RAG (Retrieval-Augmented Generation) solutions to enhance AI-driven applications with contextual data.
• Develop and integrate APIs and orchestration workflows to support scalable AI systems.
• Drive end-to-end productionization of AI/ML models ensuring reliability scalability and performance.
• Partner with cross-functional teams (engineering data product) to operationalize AI use cases in real-world environments.
• Optimize model performance monitoring and lifecycle management within cloud-native environments.

• Strong hands-on experience in AI/ML engineering including building and deploying models in production.
• Proven experience with Generative AI frameworks and RAG architectures.
• Expertise in MLOps practices (model deployment monitoring CI/CD for ML workflows).
• Experience building and consuming REST APIs and designing workflow orchestration pipelines.
• Strong experience with AWS (SageMaker Lambda S3 ECS/EKS or similar services).
• Proficiency in Python and common ML/AI libraries (PyTorch TensorFlow LangChain etc.).
• Experience with data pipelines and distributed systems.
• Familiarity with Docker Kubernetes and workflow orchestrators (Airflow Step Functions etc.).
• Strong focus on implementation and production delivery not just modeling/research

Please send me your Updated Resume and these details ASAP:

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Yaman Sahoo
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