ML Engineer III
Bengaluru, Karnataka, India
INR 3264K-5000K (estimate) Senior-level Full Time
Tasks
- Apply workflow orchestration
- Build NLP transformer models
- Communicate findings to stakeholders
- Deploy machine learning models
- Design machine learning models
- Develop AI solutions
- Develop data pipelines for training and inference
- Document solutions
- Evaluate model performance
- Execute feature engineering
- Generate insights from structured data
- Generate insights from unstructured data
- Implement retrieval systems
- Maintain ML lifecycle observability
- Monitor production model performance
- Orchestrate RAG pipelines
- Perform data exploration
- Perform prompt engineering
- Train machine learning models
Perks/Benefits
- Equipment provided
- Health coverage
- Learning and development
- Paid parental leave
- Paid time off
- Quarterly self-care days
- Stock options
- Wellness education sessions
Skills/Tech-stack
AWS | Agentic AI | Cloud Platforms | Databricks | Embeddings | Experimentation | Feature Engineering | GenAI | LLM | LLM Applications | Language Processing | Machine Learning | Model Monitoring | Model retraining | NLP | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval systems | Scikit-learn | Semantic Search | Spark | Statistics | TensorFlow | Transformer | Vector Databases | XGBoost
Education
N/A
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