IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply model quantization and optimization techniques
- Automate model retraining and deployment
- Build RAG systems and chatbots
- Build big data analytics pipelines with Spark
- Create infrastructure-as-code deployments
- Design and optimize LLM algorithms models and systems
- Develop and deploy AI and machine learning solutions
- Develop microservices and concurrency processing services
- Implement Prompt Engineering techniques
- Implement test-driven development
- Manage experiments and track model runs with MLflow
- Manage vector databases and semantic search
- Orchestrate containers with Kubernetes
- Perform model training fine tuning evaluation and monitoring
- Serve LLMs with vLLM and FastAPI
- Set up CI CD pipelines and version control
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Deep learning | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Jenkins | Knowledge Distillation | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Microservices | Model Quantization | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases
Education
Bachelor of Engineering | Master of Business Administration | Master of Engineering | Master of Science
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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