A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
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) Essential functions 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. Qualifications 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 Would be a plus 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 , supported by profound expertise and ongoing investment in , , , and . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
