Data Scientist

Key Responsibilities:

• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
• Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources.
• Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently.
• Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions.
• Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases.
• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
• Ensure model explainability, fairness, and compliance with responsible AI principles.
• Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations.

Minimum Qualifications / Skills:

• Hands on experience in data science, machine learning, AI applications, generative AI prompt engineering, creating custom models.
• Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow.
• Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, and Azure Data Factory, Data Bricks, RAG pipeline).