IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 2520K-4225K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Build and deploy LLM applications
- Build chatbots recommendation and translation systems
- Create automated model retraining
- Create infrastructure as code
- Deploy and orchestrate containers with Kubernetes
- Design and optimize algorithms models and systems
- Design microservices and concurrency processing
- Develop AI and machine learning solutions
- Implement LLM prompt engineering
- Implement MLOps for model deployment and monitoring
- Manage vector databases and semantic search
- Process big data using Spark
- Set up CI/CD pipelines
- Track experiments and versions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Docker | Embeddings | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model Deployment | Model Monitoring | Prompt engineering | PyTorch | Python | Quantization | RAG | Rust | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Technology | Master of Business Administration | Master of Engineering
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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