Job Summary:

We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python, coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.

Key Responsibilities:

• Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization.
• Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis.
• Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
• Build scalable data pipelines and automate data workflows.
• Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
• Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
• Stay current with advancements in AI/ML and GenAI technologies and frameworks.

Required Skills:

• Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL for data extraction, joins, and optimization.
• Solid understanding of machine learning algorithms and data science best practices.
• Experience handling structured and unstructured data.
• Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
• Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.