Director - Applied AI ML & Data Engineering
Bengaluru, Karnataka, India
INR 1800K-6000K (estimate) Executive-level Full Time
Tasks
- Advise on product ai machine learning strategy
- Assess technical feasibility of ai machine learning use cases
- Build features stores
- Build generative AI workflows
- Collaborate with ai machine learning stakeholders
- Create data pipelines
- Create generative ai evaluation feedback loops
- Create standardized templates
- Develop Large Language Model solutions
- Develop reusable machine learning models
- Establish common machine learning assets
- Influence cross-functional teams
- Lead shared machine learning tools and platforms
- Streamline end to end machine learning lifecycle
- Translate technical topics for leadership
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | Amazon EKS | Amazon SageMaker | C++ | Data Architecture | Data Engineering | Data Lakehouse | Deep learning | Distributed Training | Embedding Models | Evaluation | Fine Tuning | GPU Optimization | Generative AI | Inference | Java | LLM | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Meta Learning | NLP | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Ray | Reinforcement Learning | Retrieval-Augmented Generation | Similarity Search | System design | TensorFlow
Education
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