IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build LLM applications
- Conduct model fine-tuning and evaluation
- Create low-level design documentation
- Create microservices
- Deploy ML models
- Design LLM serving infrastructure
- Develop AI/ML initiatives
- Implement CI/CD pipelines
- Implement RAG systems
- Manage container orchestration
- Monitor model performance
- Perform feature engineering
- Run A B testing and experimental design
- Track experiments and version models
Perks/Benefits
- Collaboration opportunities
- Flexibility
- Hybrid work environment
- Inclusive benefits
- Mentorship
- Wellbeing support
Skills/Tech-stack
CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embedding Optimization | Experiment tracking | FastAPI | Feature Engineering | Git | GitHub Actions | Helm | Hugging Face | Infrastructure as Code | JavaScript | Jenkins | Knowledge Distillation | Kubernetes | LLM | LLM Quantization | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model Serving | Model retraining | Network Security | Prompt engineering | PyTorch | Python | RAG | SQL | Semantic Search | Spark | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Database | “as-code”
Education
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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