Principal Machine Learning Engineer | Remotive

Role Description

This role involves leading the development of core AI/ML models and algorithms that drive key product use cases.

• Lead the development of core AI/ML models and algorithms that drive key product use cases
• Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration
• Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap
• Develop production code and advocate for the best coding and engineering practices
• Participate and influence full lifecycle development from ideation and data exploration to deployment, monitor, and optimize AI/ML models in production
• Participate in project planning, review, and retrospective sessions
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering
• Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities
• Demonstrated experience in leading impactful AI product development at scale

Qualifications

• 10 or more years of ML and software experience
• Excellent problem-solving skills and ability to dive into evaluation metrics, model architecture, code, test plans, project plans, deployments and operations
• Expertise with ML pipelines, algorithms, statistical methods, and analytics to solve real-world engineering problems
• Proficient in SQL, Python, Java, PySpark, and experienced with Snowflake, AWS SageMaker, DBT, and Airflow
• Experience building and maintaining fault-tolerant, high-performing data pipelines and ensuring seamless AI/ML algorithm execution in production
• Strong communicator who simplifies complex problems and develops impactful, creative solutions
• Ability to explain deep technical decisions and implementation to leadership and less technical partners

Company Description