EY Türkiye - MLOps Engineer Senior or Manager

MLOps Engineer

EY is a global leader in Consulting, SaT (Strategy and Transactions), Tax and Assurance services.

The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

Our 395 000 people, in more than 150 countries, are united by our shared values, which inspire our people worldwide and guide them to do the right thing, and our commitment to quality, which is embedded in who we are and everything we do. Our offices around the world use the same methodology and are linked through an integrated technology platform to enable instantaneous communication and collaboration among team members, regardless of location. As a member of EY Global, in Turkey we operate in 6 offices located in Istanbul, Ankara, Bursa and Izmir, Adana with more than 2000 people for 30 years.

At EY, we are at the forefront of integrating AI and advanced analytics into our consulting services, driving transformational change across various industries. Our dedicated AI arm, EY.ai, exemplifies our commitment to leading the AI revolution, providing cutting-edge solutions that redefine the boundaries of technology and business. We leverage the power of AI to unlock new possibilities, deliver insightful analysis, and create unparalleled value for our clients.

We are seeking for a MLOps Engineer Senior or Manager to join our Technology Consulting team with the following qualifications;

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 2+ years of professional experience in MLOps, data engineering, or related fields.
• Proficiency in Python or R for machine learning and data analysis.
• Experience with Docker, Kubernetes, and other containerization and orchestration tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their machine learning services.
• Knowledge of CI/CD practices and version control systems (e.g., Git).

Preferred Skills

• Experience with machine learning modeling tools (e.g., TensorFlow, PyTorch).
• Strong understanding of data modeling, ETL processes, and data warehousing.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience in mentoring junior team members and leading projects.
• Excellent problem-solving abilities and analytical skills.
• Strong communication skills and ability to work in a collaborative environment.