IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Conduct A B testing and statistical hypothesis testing
- Create CI/CD pipelines
- Create MLOps pipelines for model deployment
- Design LLM applications
- Develop AI/ML solutions
- Develop microservices architecture
- Execute prompt engineering and evaluation
- Implement infrastructure-as-code
- Implement vector database solutions
- Manage container orchestration with Kubernetes
- Monitor model performance in production
- Optimize LLMs for performance and security
- Perform feature engineering and embeddings optimization
- Process Big Data with Spark
- Serve LLMs using inference platforms
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Concurrency | Containerization | Dimensionality Reduction | Embeddings | Experiment tracking | FastAPI | Feature Engineering | Fine Tuning | GCP | Git | GitHub Actions | Helm | Hugging Face | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLflow | Microservices | Model Quantization | Model retraining | Prompt engineering | PyTorch | Python | RAG | SQL | Semantic Search | Service Mesh | Spark | TF-Serving | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Databases
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Technology
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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