Machine Learning Engineer (On-site)

Job summary

This role involves designing, developing, and deploying AI/ML solutions to drive significant business outcomes. The position is part of a global team that collaborates with product owners and business stakeholders to create scalable AI/ML systems.

Qualifications

• Master's degree in a relevant field (e.g., computer science, data science, engineering) or equivalent practical experience.
• 5+ years of experience in ML engineering, focusing on production-grade AI/ML solutions.
• Extensive knowledge in areas such as NLP, generative AI, and computer vision.
• Proficiency in Python and experience with ML frameworks (e.g., Scikit-learn, Tensorflow, Pytorch).

Responsibilities

• Collaborate with cross-functional teams to build and scale advanced ML/GenAI systems.
• Conduct technical feasibility assessments of ML/GenAI use cases.
• Integrate AI/ML capabilities into enterprise applications for enhanced decision-making.
• Establish reusable patterns and engineering standards for scalable AI delivery.

Skills

• Strong productionization skills for ML and GenAI models.
• Experience in designing scalable ML pipelines and robust monitoring systems.
• Ability to leverage AI-assisted development tools to enhance productivity.

Education

• Master's degree in a relevant field or equivalent practical experience.

Tools

• Proficient in cloud platforms (e.g., Azure, Snowflake), CI/CD practices, Docker, and Kubernetes.