Data Scientist AI/ML
1 week ago
Role & Responsibilities:
- Develop and implement machine learning and AI models to solve complex business problems.
- Collaborate with stakeholders to define project requirements and deliver actionable data insights.
- Apply statistical and machine learning techniques for predictive and descriptive analytics.
- Work on Generative AI and LLM-based development (OpenAI, AWS Bedrock, Azure OpenAI).
- Implement Retrieval Augmented Generation (RAG) systems integrating vector databases and semantic search.
- Design secure data ingestion pipelines for unstructured data, enabling efficient indexing and retrieval.
- Generate and manage text embeddings for semantic search and information retrieval.
- Stay updated with the latest advancements in AI/ML, Generative AI, and deep learning.
- Collaborate with cross-functional teams to build scalable, production-ready AI solutions.
Preferred Candidate Profile:
- 5+ years of experience in AI/ML, Generative AI, and data science roles.
- Strong understanding of machine learning, deep learning, and Generative AI concepts.
- Proficient in Python, TypeScript, NodeJS, and ReactJS.
- Experience with LangChain, LlamaIndex, and RAG implementations.
- Expertise in cloud AI infrastructure (AWS, Azure).
- Familiar with TensorFlow, PyTorch, Keras, and data visualization tools (Matplotlib, Seaborn, Quicksight).
- Hands-on experience with Git or CodeCommit for version control.
- Excellent analytical, problem-solving, and communication skills.
Good to Have:
- Experience building knowledge graphs in production.
- Understanding of multi-agent systems for complex automation or decision-making tasks.
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