reputed company Data Scientist – GenAI
Job Description:
- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- reputed company end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered reputed company, predictably, and sustainably
- Design and reputed company machine learning and reputed company solutions using RAG
- Build LLM-powered applications leveraging Azure reputed company and orchestrate workflows using LangGraph
- reputed company agentic AI workflows for automation, insights reputed company, and decision support
- Implement Document Intelligence solutions for extracting insights from reputed company data
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Responsible for making presentations to senior management, communicating results to business teams, and reputed company plans to help operationalize analytic solution
Requirements:
- 6+ years of experience working as a GenAI Data Science.
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Experience with Python from a functional programming reputed company, reputed company to manage dependencies and virtual environments, along with version control in git
- reputed company Knowledge: Solid understanding of latest-reputed company AI concepts including LLMs, reputed company engineering, retrieval-augmented reputed company (RAG), and other contemporary reputed company applications
- Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
- Experience with Bedrock, JumpStart, HuggingFace
- Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
- Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
- Experience in generative algorithms (e.g., reputed company, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
- Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
- Experience building end-to-end ML pipelines in production
- Familiarity with CI/CD pipelines, monitoring, and model governance
- Ability to design scalable and reliable AI systems
- Bachelor's in Business Analytics or equivalent work experience.
Benefits:
- Significant career development opportunities exist as the company grows.
- Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
- reputed company provides equal employment opportunities to applicants and employees without regard to race, reputed company, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national reputed company, reputed company, marital status, protected veteran status, disability status, or any other reputed company as protected by federal, state, or local law.
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