IN-Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Conduct model evaluation and fine-tuning
- Create data processing pipelines
- Deploy ML models on Kubernetes
- Design AI and ML solutions
- Design and run A B testing
- Develop LLM applications
- Develop ML model serving
- Develop microservices-based architecture
- Implement CI/CD pipelines
- Implement MLOps workflows
- Manage vector databases
- Optimize LLM performance and security
- Perform feature engineering
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Deep learning | Dimensionality Reduction | Docker | Embedding | Experiment tracking | FastAPI | Feature Engineering | Fine Tuning | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | JavaScript | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model retraining | Network Security | Prompt engineering | PyTorch | Python | Quantization | RAG | SQL | Semantic Search | Spark | Statistical Hypothesis Testing | TF-Serving | TensorFlow | Terraform | Torchserve | VLLM | Vector Database | “as-code”
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Engineering
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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