Data Science Engineer – Agentic AI at Alpharetta, GA / Hybrid in person Interview (working hour on w2)

Design and develop Agentic AI systems capable of autonomous decision-making and task execution

Build and deploy machine learning and generative AI models using enterprise-scale data

Work closely with business stakeholders to translate requirements into AI-driven solutions

Develop data pipelines for ingestion, processing, and transformation of structured and unstructured data

Implement AI workflows using LLMs, agents, orchestration frameworks, and retrieval-augmented generation (RAG)

Optimize models for performance, scalability, and reliability in production environments

Ensure data governance, security, and compliance with enterprise standards

Collaborate with data engineers, ML engineers, and product teams in an agile environment

Strong experience in Data Science / Machine Learning Engineering

Hands-on experience with Agentic AI frameworks and autonomous AI systems

Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn)

Experience working with LLMs, GenAI, RAG pipelines, and AI agents

Strong understanding of enterprise data platforms, data modeling, and analytics

Experience with SQL, NoSQL, and big data technologies

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

Strong problem-solving and communication skills

Experience in financial services or investment banking

Exposure to MLOps, model monitoring, and CI/CD pipelines

Experience with vector databases and knowledge graphs

Master’s or PhD in Data Science, Computer Science, AI, or related field