Gen AI Engineer

Salary: $70,000 - 105,000 per year

Requirements:

• We are looking for someone with strong analytical thinking and a practical approach to problem-solving.
• We expect hands-on experience supporting the development of statistical, machine learning, and deep learning models, including LLM-based solutions.
• We value familiarity with tools and environments such as SAS and R/Python for analytics work.
• We need the ability to interpret business needs and convert them into actionable data science solutions.
• We seek a candidate with a strong focus on data quality, validation, and performance tuning.
• We appreciate proven collaboration skills when working with business and technology stakeholders.
• We value a mindset of continuous learning, knowledge sharing, and team growth.

Responsibilities:

• We extract, transform, and prepare data for analytics and model development.
• We identify and resolve common data issues to maintain high data quality.
• We help build statistical, machine learning, and deep learning models, including LLM-related solutions, using established processes and tools.
• We collaborate with technology teams to operationalize models into analytics tools or scripts.
• We test and validate models, selecting the most effective algorithms using statistical and business performance measures.
• We support advanced analytics work by defining problems, performing visualization, analysis, and predictive modeling with senior guidance.
• We locate data sources, retrieve information from relational databases, and contribute to UI/UX development for client use.
• We monitor model performance, make minor refinements, and escalate risks, compliance issues, or schedule deviations when needed.
• We document model development, testing, and deployment activities thoroughly to ensure reproducibility.
• We work closely with business and technology teams to turn requirements into practical models and communicate findings clearly.
• We apply any predefined quality measurement frameworks to individual project tasks.
• We assist in deploying analytics solutions in test and production environments while ensuring operational readiness.

Technologies:

• Support
• LLM
• Machine Learning
• Python
• SAS
• UX UI Design

More:

We are hiring for the Data Science Consultant 1 role, where you will support our analytics and machine learning initiatives by working across data preparation, model development, testing, deployment, and stakeholder collaboration. You will join a cross-functional environment that brings together business and technology teams to deliver practical, high-quality analytics solutions. In this role, you will have the opportunity to contribute to advanced modeling work, maintain strong documentation standards, and help ensure our solutions perform reliably in both test and production settings.

last updated 42 week of 2026