Machine Learning Engineer

Essential functions

• Participate in the design and development of Big Data analytical applications.

• Design, support, and continuously enhance the project code base, including the continuous integration pipeline.

• Develop large-scale ML infrastructure, such as services, frameworks, or tooling.

• Implement Machine Learning/Optimization-based applications (as needed).

• Write complex ETL processes and frameworks for analytics and data management.

• Work collaboratively with a team of industry experts to develop solutions using cutting-edge Big Data technologies for deployment at massive scale.

• Collaborate with stakeholders to gather and clarify requirements.

Qualifications

• 7-10+ years of server-side engineering experience.

• ML/Data Science/Mathematical modeling-related experience is preferred.

• Expert in Python; proficiency in other languages such as Scala or Java is a plus.

• Proficiency in Spark; experience with Hadoop or other Big Data processing technologies.

• Strong object-oriented design skills and a solid understanding of data structures and algorithms.

• Experience with developing large-scale ML infrastructure, such as services, frameworks, or tooling.

• Excellent communication and collaboration skills.

• Ability to work autonomously and influence project outcomes to ensure successful delivery.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.