IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory_Mumbai
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Create and manage data infrastructure using cloud services
- Deploy and monitor ML models
- Design and develop data solutions
- Develop AI and ML initiatives
- Develop LLM applications
- Develop microservices architecture
- Implement CI/CD pipelines
- Implement RAG systems
- Integrate and transform data
- Manage vector databases
- Optimize LLMs for performance and security
- Serve LLM models using LLM serving platforms
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Artificial Intelligence | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hypothesis Testing | Infrastructure as Code | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Quantization | Model retraining | Prompt engineering | PyTorch | Python | RAG | Rust | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Databases | “as-code”
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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