IN-Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build MLOps pipelines for deployment
- Build RAG systems and semantic search
- Create infrastructure as code
- Deploy ML services with containers
- Design ML models and algorithms
- Design microservices architecture
- Develop AI and ML solutions
- Develop chatbots and recommendation systems
- Implement CI/CD pipelines
- Implement LLM applications
- Implement model monitoring
- Manage model training versioning and tracking
- Optimize LLM performance and security
- Process large-scale data with Spark
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embedding Optimization | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model Serving | Prompt engineering | PyTorch | Python | Quantization | RAG | SQL | Spark | Statistical Hypothesis Testing | TF-Serving | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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