Data Scientist - AI - JM

• Machine Learning Development:?Build and optimize machine learning models, including ARIMA, regression, classification models, LDA, topic modeling, and other statistical techniques to support internal use cases.
• Deep Learning Expertise:?Develop and fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), to address complex business challenges.
• AI/ML Operations:?Utilize Snowflake Cortex AI features (or Databricks ML Ops tools such as MLFlow and workflows) to deploy and manage machine learning pipelines.
• Agentic AI Solutions:?Implement agentic AI frameworks using open-source packages like LangGraph and LangFlow to enable intelligent automation.
• CI/CD Integration:?Collaborate with development teams to integrate machine learning workflows into CI/CD pipelines using GitHub Copilot and other tools.
• Business Analysis:?Leverage prior business analysis experience to understand stakeholder requirements, translate them into technical solutions, and ensure alignment with organizational goals., Design, develop, and support internal AI/ML/IA use cases while contributing to the build-out of our Internal AI program. You will work on diverse projects ranging from predictive modeling to deploying advanced AI solutions, ensuring scalability and operational excellence.

1. Databricks AI tools
2. Snowflake AI tools (new to market)
3. LLMs
4. LangGraph and LangFlow
5. Agentic AI is a PLUS

Top Soft Skills:

1. Ability to communicate with users
2. Collaboration, * Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.

• 3-5 years of experience in machine learning, data science, or AI development.
• Proficiency in Python, R, or other programming languages commonly used in machine learning.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deep learning libraries.
• Familiarity with Snowflake Cortex AI features or Databricks ML Ops tools (MLFlow, workflows).
• Knowledge of agentic AI frameworks and open-source packages like LangGraph and LangFlow.
• Experience with CI/CD pipelines and GitHub Copilot for code development and deployment.
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams., * Previous experience in business analysis or working directly with stakeholders to define requirements.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
• Experience with Snowflake s latest AI features is a plus.

Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.