IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build microservices for AI ML workloads
- Build vector database pipelines
- Create feature engineering and embedding solutions
- Deploy ML models with MLOps
- Design RAG systems
- Develop LLM solutions
- Implement CI/CD pipelines for ML
- Implement model fine-tuning and evaluation
- Manage containers and orchestration for deployments
- Monitor model performance and retrain models
- Optimize LLM performance
- Run A B testing and statistical hypothesis testing
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | B testing | CloudFormation | Concurrency | Deep learning | Dimensionality Reduction | Docker | Embeddings | FastAPI | Feature Engineering | Git | GitHub Actions | Google Cloud | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM Prompt | LLM Prompt Engineering | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Microsoft Azure | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantization | RAG | SQL | Semantic Search | Service Mesh | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Education
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