GenAI Python Systems Engineer – Senior Associate

Role overview

Responsibilities

• Design and optimize algorithms and models for automation and decision-making.
• Develop AI and machine learning solutions for business processes.
• Transform raw data into actionable insights and business recommendations.
• Build scalable AI systems using Python and machine learning libraries.
• Analyze complex data, identify trends, and inform strategic recommendations.
• Collaborate across teams to address data challenges and improve data quality.
• Build client relationships, manage stakeholder expectations, and deliver quality solutions.
• Maintain professional and technical standards, including firm guidelines and independence requirements.

Must-have qualifications

• At least a bachelor's degree.
• At least 3 years of experience.

Additional qualifications

• Preferred fields of study include Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering.
• At least one certification aligned to data engineering, machine learning, or cloud platforms is required; examples include AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake.
• Python for AI-driven automation, machine learning libraries, and NLP techniques are identified as relevant capabilities.
• The role also emphasizes complex data analysis, client focus, navigating ambiguity, and effective communication.

Compensation and benefits

• Salary range is $77,000–$202,000; actual compensation depends on skills, experience, qualifications, location, and applicable laws.
• Eligible employees may receive an annual discretionary bonus and benefits including medical, dental, vision, 401(k), paid holidays, vacation, and leave.