Bangalore, Karnataka, India
Information Technology
Full-Time
Contentstack
Overview
Requirements
- Advanced understanding of supervised, unsupervised, and reinforcement learning.
- Familiarity with deep learning frameworks.
- Current experience in GenAI, RAG, and advanced RAG techniques like RAGA, Query expansion, KGRAG, etc.
- Strong knowledge of statistical modeling, hypothesis testing, and data exploration techniques.
- Proficiency in Python, along with experience in MongoDB.
- Understanding of code optimization and clean coding practices is important.
- Solid foundation in probability, linear algebra, calculus, and statistical inference.
- Experience in deploying machine learning models in production environments and familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Experience in leading data science and ML teams, including mentoring junior scientists and fostering a collaborative environment.
- Ability to manage projects, define milestones, ensure timelines are met, and communicate progress to stakeholders.
- Collaborating with software engineers and product managers to ensure alignment between our solutions and business goals.
- Understanding the company's overall business strategy and being able to align data science initiatives to support these objectives.
- Ability to translate complex ML/GenAI concepts into actionable insights for non-technical stakeholders.
- Experience in creating clear, thorough documentation for products/projects and experiments.
- Keeping up with the latest research, tools, and trends in data science and machine learning, especially in the area of GenAI, RAG, etc.
- Identifying and addressing complex data and business challenges, often through novel AI/ML approaches or hybrid solutions.
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