Machine Learning Engineer

• Design and deliver machine learning solutions that combine modern research with practical deployment.
• Develop End-to-End ML Models: Design, train, and evaluate models across supervised, unsupervised, and reinforcement learning domains tailored to diverse problem areas.
• Collaborate on Real-World Solutions: Work with engineers and data scientists to integrate models into deployable systems operating in production environments.
• Client-Focused Problem Solving: Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes.
• Explore, Iterate, Validate: Lead the exploration and analysis of datasets using tools like Pandas, NumPy, and Spark to inform model design and performance evaluation.
• Research-Driven Innovation: Identify opportunities to adapt state-of-the-art methods and productionize them to deliver measurable impact.

AI/ML Engineer – Specialist

AI Developer