IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines for ML
- Build RAG systems with vector databases
- Build recommendation and chatbot systems
- Create semantic search and embedding pipelines
- Deploy and serve models with FastAPI and vLLM
- Design prompt-engineering workflows
- Develop and deploy LLM solutions
- Develop microservices for AI workloads
- Implement feature engineering and embeddings
- Implement infrastructure-as-code for cloud resources
- Monitor models in production
- Optimize LLMs with quantization and distillation
- Perform ML model fine tuning and evaluation
- Process Big Data with Spark
- Set up Kubernetes based ML infrastructure
- Track experiments and manage MLflow
- Use A B testing and statistical hypothesis testing
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 | LLM | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Quantization | Model Serving | Model retraining | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database
Education
Bachelor of Engineering | Bachelor of Technology | Master of Computer Applications | Master of Engineering | Master of Technology
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer | Scientist
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