Lead AI/ML Engineer

Why Pythian :

At Pythian , we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian , a multinational company, was founded in 1997 and started by ensuring the reliability and performance of mission-critical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from on-premises to cloud environments, and as enterprises sought more from their data, we expanded our competencies to include advanced analytics.

Today, we empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today’s rapidly changing digital economy.

Why you:

As a Lead AI / ML Engineer, you will define the technical vision, strategy, and overall architecture for Artificial Intelligence and Machine Learning solutions. Beyond building robust, scalable AI/ML pipelines, you will lead engineering teams, mentor junior and mid-level engineers, and drive technical decision-making across projects. You will take full ownership of integrating advanced models—including Large Language Models (LLMs) and Generative AI—into enterprise products, partnering closely with executive leadership, product management, and cross-functional engineering teams to deliver impactful business outcomes.

If this is you, and you wonder what it would be like to work at Pythian , reach out to us and find out!

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What you will be doing:

- Lead the architectural design and strategic development of high-performance AI and machine learning pipelines for complex enterprise initiatives.

- Provide technical leadership, mentorship, and guidance to AI/ML engineers and data scientists, fostering technical excellence and career growth.

- Deploy, manage, and scale diverse AI models, including pre-trained models (e.g., LLMs, vision models) and custom ML models, into production environments.

- Work with data scientists and researchers to operationalize models, transforming prototypes into resilient, production-grade AI systems that meet stringent business requirements.

- Optimize model performance, latency, and cost-efficiency across various cloud and edge deployment targets.

- Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and leverage containerization technologies (Docker, Kubernetes) for consistent deployment.

- Implement comprehensive MLOps practices, including automated testing, continuous integration/continuous delivery (CI/CD) for models, model versioning, monitoring, and proactive maintenance systems.

- Drive stakeholder management and partner with senior leadership, product managers, and clients to align technical AI roadmaps with business strategy.

- Work closely with software engineering teams to ensure seamless and ethical integration of AI capabilities into larger applications and user workflows.

- Stay up to date with the latest advancements in AI/ML research, Generative AI, data engineering, and MLOps deployment strategies.

What we need from you:

- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field. Ph.D. is a plus.

- 7 to 10 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role.

- Expert knowledge