Data Scientist

• Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications
• Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies
• Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents
• Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms
• Conduct analysis of data and identify trends, providing actionable insights to stakeholders
• Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning
• Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions
• Apply strong analytical skills to solve complex problems and improve existing models and algorithms
• Build and manage ETL pipelines, deploy models to production, and monitor models (Docker, Kubernetes, MLflow, Airflow)
• Build reproducible pipelines for training and serving models

Senior Data Scientist

Data Scientist

Data Scientist

Data Scientist II – Corporate Data and Analytics

Data Scientist

Data Scientist