Data Scientist - AI, Artificial Intelligenc, Agentic,

About the Role

Key Responsibilities

• Build and optimize machine learning models, including ARIMA, regression, classification models, LDA, topic modeling, and other statistical techniques to support internal use cases.
• Develop and fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), to address complex business challenges.
• Utilize Snowflake Cortex AI features or Databricks ML Ops tools such as MLFlow and workflows to deploy and manage machine learning pipelines.
• Implement agentic AI frameworks using open-source packages like LangGraph and LangFlow to enable intelligent automation.
• Collaborate with development teams to integrate machine learning workflows into CI/CD pipelines using GitHub Copilot and other tools.
• Leverage prior business analysis experience to understand stakeholder requirements, translate them into technical solutions, and ensure alignment with organizational goals.

Requirements

• 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 such as TensorFlow, PyTorch, Scikit-learn, and deep learning libraries.
• Familiarity with Snowflake Cortex AI features or Databricks ML Ops tools like MLFlow and 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.

Nice to Have

• 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.

Qualifications

• Educational background in Computer Science, Data Science, or related fields.
• 3-5 years of relevant experience in AI/ML development.

Benefits & Perks

• Group medical, dental, vision, and life insurance.
• Long-term and short-term disability insurance.
• 21 days of accrued paid time off.
• 401k retirement plan.
• Tuition reimbursement.
• Performance bonuses.
• Paid overtime.