Machine Learning Engineer- Hybrid

Position Title : Machine Learning Engineer- Hybrid

W2 Role - St. Paul, Minnesota

Primary Responsibilities :

• Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
• Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
• Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
• Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation. Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
• Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
• Deploy, test, and optimize ML models and data pipelines in production environments.
• Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
• Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

Skills Needed : Qualifications :