Senior Machine Learning Engineer - 1
Hybrid - Bangalore, India
R
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Collaborate cross-functionally to deliver AI features
- Design agentic LLM workflows
- Design, develop, and deploy machine learning models
- Fine-tune LLMs for specific use cases
- Implement end-to-end data and AI pipelines
- Lead initiatives from ideation to deployment
- Mentor junior team members
- Monitor and improve model performance
- Operationalize AI model systems
- Optimize dataset creation and management
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Bedrock | Application Architecture | Azure | BERT | CI/CD | Computer Vision | Databases | Deep learning | Django | Docker | ECS | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Matplotlib | Modal | Model Governance | Model Monitoring | NLTK | Natural Language | Natural Language Processing | NumPy | OCR | OpenRouter | Pandas | PyTorch | Python | RAG | SageMaker | SciPy | Scikit-learn | Spacy | TensorFlow | Transformers | Vector Databases | Web Application | Web application architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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