Manager - Data Science & AI
Tasks
- Architect AI/ML systems
- Build agentic systems
- Collaborate with data engineering and software engineering
- Create enterprise connectors
- Define engineering standards
- Deploy AI systems to production
- Design LLM applications
- Develop phased delivery roadmaps
- Drive AI lifecycle prototyping to production
- Ensure AI governance and compliance
- Ensure AI reliability and security
- Evaluate AI models
- Implement RAG systems
- Lead code reviews
- Lead design reviews
- Mentor AI engineering team
- Monitor AI systems observability
- Orchestrate workflows
- Oversee AI ML pipelines
- Provide operational support for AI systems
- Translate business needs into AI architectures
Perks/Benefits
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Benchmarking | Big Data | Cloud Computing | Data Engineering | Data Ingestion | Guardrails | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Model Serving | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Quality Measurement | Retrieval-Augmented Generation | Secure Systems | Streamsets | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Data Science | Data Science Manager | Engineering Manager | Manager
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