IN-Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build LLM applications
- Build data pipelines and analytics solutions
- Conduct experiment tracking and evaluation
- Create microservices architectures
- Deploy and monitor ML models
- Design and optimize ML models
- Design prompt-engineering workflows
- Develop AI and ML solutions
- Implement CI/CD pipelines
- Implement RAG systems
- Manage containers and Kubernetes deployments
- Use Infrastructure as Code for cloud resources
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLflow | Microservices | Model Quantization | Prompt engineering | PyTorch | Python | RAG | Rust | SQL | Semantic Search | Service Mesh | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | 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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