Data Scientist II

• Design and implement predictive models and machine learning solutions to solve complex business problems
• Utilize Python and ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow) to build and optimize models
• Collaborate with engineering teams to deploy models into production using Azure Fabric and other Microsoft cloud tools
• Conduct performance evaluations and refine models to ensure reliability and accuracy
• Develop and fine-tune large language models using Azure AI Foundry
• Apply advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration
• Conduct benchmarking and human-in-the-loop testing to iteratively enhance LLM performance
• Lead research into LLM trends and integrate state-of-the-art methods into business applications
• Leverage Azure services including Azure Machine Learning, Azure Databricks, and Azure Data Lake for scalable model development and deployment
• Work with enterprise data teams to align ML solutions with broader data architecture and governance frameworks
• Build and scale secure, efficient data pipelines and AI agents using Azure Fabric and related services
• Translate complex model outputs into actionable insights for business and product leaders
• Partner with stakeholders to identify opportunities where AI can create tangible business value
• Champion best practices in data science, MLOps, and responsible AI across the organization.

• 5+ years of professional experience in data science and large-scale analytics
• Strong proficiency in Python for statistical modeling, machine learning, and automation
• Proven experience with Azure AI Foundry, Azure Machine Learning, and Azure Fabric
• Deep understanding of LLMs, GenAI techniques, and fine-tuning strategies
• Solid foundation in regression, classification, clustering, and NLP techniques
• Experience working with large-scale data tools such as Azure Data Lake, Cosmos DB, and Databricks
• Strong communication skills—able to present technical findings to non-technical stakeholders
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• Master’s or PhD preferred
• Azure certifications (AI/ML or data engineering) a plus.

Azure certifications (AI/ML or data engineering)

• Medical, vision, dental, and life and disability insurance
• Eligible for company 401(k) plan
• Access to free online training
• Contract, temporary, and permanent placements
• Competitive compensation.