Machine Learning Engineer/Data Engineer

JOB DESCRIPTION

Responsibilities

• Apply statistical analysis, and machine learning to solve business problems
• Clean, process, and analyze large datasets from multiple sources
• Write efficient, reusable, and reliable Python code for data processing and analysis.
• Build and optimize predictive models and algorithms
• Perform thorough code review to ensure adherence to coding standards and best practices
• Identify performance bottlenecks and suggest optimizations in Python code
• Validate documentation completeness and clarity
• Provide technical leadership and direction to other developers in the team
• Mentor junior team members through constructive code review feedback
• Create data visualizations to communicate findings effectively
• Document code, models, and technical processes
• Ensure data security and compliance with best practices.

Requirements

• Strong knowledge of data science libraries (NumPy, pandas, scikit-learn)
• Experience with data visualization tools (Matplotlib, Seaborn)
• Understanding of statistical analysis and machine learning concepts
• Proficiency in SQL and experience working with databases(SQL Server and Snowflake)
• Experience with version control systems (Azure DevOps)
• Excellent problem-solving skills and attention to detail.
• Designed and implemented enterprise-scale solutions using Large Language Models (LLMs) such as GPT, Claude, and Gemini.

PRIMARY LOCATION