Job Responsibilities

• Assist in building and integrating production features that utilize machine learning and generative AI technologies, working closely with the Data Scientists, ML Engineers, Knowledge Experts and Engineering teams
• Participate in the development and optimization of infrastructure and processes for machine learning prototyping, deployment, and iterative improvements based on customer feedback
• Support the development and maintenance of our AI platform, aiding in both standard and custom AI model solutions for clients
• Architect robust data pipelines, addressing key issues of scalability and performance. Provide expert recommendations on their usage and advocate for best practice patterns within the team
• Engage in project initiatives and contribute to the planning process, ensuring alignment with project goals and team objectives
• Play a role in educating internal stakeholders about our machine learning projects and their business implications
• Other duties as assigned

Required Qualifications

• 3-5 or more years of experience in Machine Learning Engineering role
• Fluency in Python and the associated Data Science stack (numpy, scipy, scikit-learn, pandas)
• Fluency in at least one relational database language
• You can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systems
• Experience with deep learning and genAI models, both third party and open source preferred
• Expertise in designing and implementing robust data pipelines, particularly where scalability and performance are critical
• Ability to architect and deploy basic machine learning models in a production environment
• Experience with a cloud-based infrastructure environment (AWS, GCP, etc.) and containerization technology (docker, Kubernetes)
• Knowledge of machine learning model optimization, including the ability to advise on trade-offs and options
• Familiarity with model drift, and the ability to monitor and respond appropriately in straightforward scenarios
• Familiarity with at least one CI/CD tool and experience in modern principles of software development and version control