Staff MLOps Engineer

Grid Dynamics; Fatih; On-site; TRY 300,000 - 540,000; Full time

Benefits offered by this job

Bleeding-edge projects

Flexible schedule

Competitive salary

Professional development

Job summary

Grid Dynamics is seeking a Staff MLOps Engineer to lead design, scaling, and automation of our AI/ML infrastructure. You will collaborate with engineering teams to set best-in-class MLOps standards and tools, and mentor junior engineers.

You will drive secure, private, and resilient systems at enterprise scale, integrating AI-assisted developer tools and ensuring robust monitoring, deployment, and governance across projects.

Qualifications

• 5–7+ years of professional software engineering with a focus on AI/ML.
• Deep understanding of ML concepts and Generative AI.
• Experience in system design and high-scale data processing.
• Practical experience with PyTorch, TensorFlow, or JAX.
• Proficiency in Python, Java, or Scala.

Responsibilities

• Research and develop state-of-the-art AI/ML solutions for training, deployment, and monitoring.
• Design secure, private, and high-performance systems prioritizing user privacy.
• Act as a technical leader, mentor junior engineers and participate in design reviews.
• Contribute to a collaborative culture with rigorous code reviews and test automation.

Skills

AI/ML concepts

Generative AI

Distributed systems

Mentoring

Python/Java/Scala

Tools

PyTorch

TensorFlow

JAX

Kubernetes

MLflow

Ray

Job description

We are hiring a Staff MLOps Engineer to lead the design, scaling, and automation of our next-generation AI/ML infrastructure. As a technical leader, you will collaborate across engineering teams to establish best-in-class MLOps standards, integrate AI-assisted developer tools, and ensure our AI/ML systems remain secure, private, and resilient at enterprise scale.

Working hours: Overlap until 12 pm PST.

Contract: B2B (sole proprietorship)

Responsibilities

• Research and develop state-of-the-art AI/ML solutions and tools that transform how we train, deploy, and monitor models
• Work at the intersection of scale and privacy. You will design secure, private, and highly performant systems, ensuring our systems respect and protect user privacy as a core engineering feature.
• Act as a technical leader. You will collaborate with broader teams, actively participating in design discussions, giving and receiving constructive feedback, and mentoring junior engineers.
• Participate in our highly collaborative environment to elevate our engineering standards. From design reviews and rigorous code reviews to robust test automation, you will ensure our AI/ML systems are maintainable and resilient.

Requirements

• 5–7+ years of professional software engineering experience with a dedicated focus on AI/ML
• Deep understanding of traditional ML concepts (supervised/unsupervised learning) as well as Generative AI
• Proven expertise in system design and high-scale distributed data processing
• Practical experience with PyTorch, TensorFlow, or JAX
• Proficiency in Python, Java, or Scala

Nice to have

• Hands-on experience with MLOps and deploying ML infrastructure using tools like Kubernetes, MLflow, or Ray.
• Familiarity with using LLM coding tools (e.g., Gemini, Claude) and developer tools to accelerate software engineering workflows

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Professional development opportunities

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.