We are hiring passionate Machine Learning Engineers and ML Leads for one of our product-based clients , driving innovation in AI, data engineering, and MLOps.
If you have hands-on experience in ML model development, cloud platforms, and Generative AI tools , this opportunity is for you.
Responsibilities :
- Build and maintain scalable data & ML pipelines using Python, PySpark, and AWS (SageMaker, Bedrock, Kendra).
- Implement MLOps best practices – CI / CD for ML models, monitoring, versioning, and retraining.
- Work with large datasets, perform EDA, feature engineering, and model optimization .
- Collaborate with cross-functional teams to deploy ML solutions in production.
- Apply your knowledge of Time Series, NLP, and Image / Video Analytics to solve real-world problems.
- Explore and integrate Generative AI , LangChain , LlamaIndex , and RAG frameworks into ML workflows.
Skills & Experience Required :
Strong in Python and Machine Learning concepts.Hands-on with PySpark , MLOps , and AWS Cloud (SageMaker, Bedrock, Kendra) .Experience with model lifecycle management, deployment, and performance metrics .Exposure to Docker, Kubernetes, LangChain, and Generative AI preferred.Good understanding of Statistics, Probability, and Hypothesis Testing .Experience Range :
ML Engineer : 4–6 yearsML Module Lead : 6–8 yearsML Lead : 8–10 yearsLocations : Noida | Gurgaon | Bangalore | Indore | Pune | Hyderabad | Remote / Hybrid
Notice Period : Candidates with Last Working Day on or before 7th November preferred
Skills : Machine Learning
MLOps
Python
PySpark
AWS SageMaker
Bedrock
Kendra
Data Engineering
EDA
NLP
Time Series
Generative AI
LangChain
LlamaIndex
RAG
Docker
Kubernetes
AI Engineer
Machine Learning Engineer