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Senior AI/ML Engineer
Roadpass Digital. Maintain and scale the primary recommendation system for the core product .
Tech Stack
Tools & technologiesAWSPythonSQL
About the role
Key responsibilities & impact- Maintain and scale the primary recommendation system for the core product
- Maintain, implement, and optimize natural language AI tools, including customer service chatbots for multiple brands
- Solve complex problems using advanced ML, AI, mathematical modeling, and optimization techniques
- Manage the full machine learning lifecycle, including preprocessing, feature engineering, problem formulation, algorithm selection and evaluation, modeling, hyperparameter tuning, and model deployment
- Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes
- Mine and analyze company database data to improve product development, marketing techniques, and business strategies
- Design, develop, and implement production-level code
- Own the full development cycle, including design, development, impact assessment, A/B testing, result interpretation, and production deployment
- Serve as a subject matter expert in data, advanced analytics, and visualization
- Ensure accurate interpretation of business metrics, data models, and reports
- Coordinate with functional teams to implement models and monitor outcomes
- Ensure delivery of high-quality data products
- Identify, design, and implement internal process improvements
- Champion a data-driven and customer-focused culture
Requirements
What you’ll need- 5+ years experience in advanced analytics, machine learning, analytics engineering, or similar highly analytical role
- Degree in a quantitative field such as Economics, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or Analytics
- Strong experience with Python
- Strong experience with AWS services including S3, SageMaker, and Bedrock
- Strong experience with AI engineering tooling including LangChain, LangGraph, and LangSmith
- Strong experience with RAG systems including vector databases such as PGVector
- Advanced SQL knowledge, including CTEs and window functions
- Expertise building, deploying, and maintaining machine learning models in production
- Proven track record leading advanced Data Science, Machine Learning, and AI products and services
- Experience creating predictive models for new product offerings
- Ability to identify data science opportunities to improve products, processes, and model or analytical accuracy
- Strong analytical ability to answer business questions with data
- Excellent organization, communication, and presentation skills
- Ability to communicate customer needs, architectural requirements, and product goals across cross-functional teams
- Ability to translate complex processes for non-technical audiences
- Ability to educate team members
- Ability to lead, motivate, and work effectively in an entrepreneurial, fast-paced environment
- Experience supporting and working with cross-functional teams in a dynamic environment
- Confident decision-making and ability to explain processes or choices
- Successful completion of a background check
Benefits
Comp & perks- Flexible Time Off & 16 Company Paid Holidays
- Collaborative & Inclusive Culture with small, self-organized, and cross-functional teams
- Growth Opportunity through hands-on learning and development
- Medical (PPO & HDHP-HSA), dental, and vision benefits
- Flexible spending account
- Commuter benefit
- Discount programs
- Life & disability insurance
- Accident insurance
- 401k program with company match
- Paid parental leave
- Lifetime subscription to Roadpass products
- Work-Detoured benefit, including reimbursement to enjoy the outdoors