IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Create data processing jobs with Spark
- Deploy ML models and pipelines
- Design LLM models and systems
- Design and document low level design
- Develop AI and machine learning solutions
- Develop microservices for AI workloads
- Implement MLOps workflows for monitoring and retraining
- Implement vector databases and semantic search
- Manage LLM infrastructure and model serving
- Optimize LLMs for performance and security
- Perform experiment design and A B testing
- Set up CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM | Langchain | Language Processing | MLflow | Machine Learning | Microservices | Model Quantization | Model retraining | Natural Language | Natural Language Processing | Network Security | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Rust | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Engineering
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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