Posted 03 June, 2026
Data Science
ClifyX
India
Full Time
Reference: 365_594563_25-07879
Job Description: Hands-on experience in data science and machine learning (both traditional ML and LLM-based solutions).Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace.Experience building APIs and deploying models with FastAPI.Proven experience with AWS ML stack (SageMaker, BedrockLambda, EKS, etc.).Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring.Experience with agents, LLMs, and GenAI applications in production environments.Solid foundation in MLOps practices (CICD, versioning, monitoring, automation).Excellent problem-solving skills and the ability to work cross-functionally with business and engineering teams.
Essential Skills: Hands-on experience in data science and machine learning (both traditional ML and LLM-based solutions).Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace.Experience building APIs and deploying models with FastAPI.Proven experience with AWS ML stack (SageMaker, BedrockLambda, EKS, etc.).Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring.Experience with agents, LLMs, and GenAI applications in production environments.Solid foundation in MLOps practices (CICD, versioning, monitoring, automation).Excellent problem-solving skills and the ability to work cross-functionally with business and engineering teams.
MANDATORY:
1. Above skill sets, and Yrs of Experience should be present in the Evaluation sheet and Resume.
2. Supplier screening comments like: Exact Reason for change, Notice period, Gap, Offer in Hand to be mentioned in the evaluation sheet
3. Candidate screening call availability: Mention Dates after profiles qualified in the beeline - between
Essential Skills: Hands-on experience in data science and machine learning (both traditional ML and LLM-based solutions).Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace.Experience building APIs and deploying models with FastAPI.Proven experience with AWS ML stack (SageMaker, BedrockLambda, EKS, etc.).Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring.Experience with agents, LLMs, and GenAI applications in production environments.Solid foundation in MLOps practices (CICD, versioning, monitoring, automation).Excellent problem-solving skills and the ability to work cross-functionally with business and engineering teams.
MANDATORY:
1. Above skill sets, and Yrs of Experience should be present in the Evaluation sheet and Resume.
2. Supplier screening comments like: Exact Reason for change, Notice period, Gap, Offer in Hand to be mentioned in the evaluation sheet
3. Candidate screening call availability: Mention Dates after profiles qualified in the beeline - between
