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! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers 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 of ADK and other agentic frameworks with deep experience implementing agents in production. Proven technical leadership experience, including mentoring engineers, driving architectural choices, and managing project delivery. Expert programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Demonstrable, hands-on experience in deploying and fine-tuning advanced pre-trained models, such as Large Language Models (LLMs) or similar Generative AI technologies, into low-latency production environments. Extensive experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes. Proficiency in Data Engineering principles, ETL/ELT processes, and version control systems (e.g., Git). Proven experience in orchestrating complex Machine Learning pipelines using open-source tools like Kubeflow, MLflow, or managed cloud services. Experience in building and optimizing scalable, distributed AI/ML systems. Deep familiarity with MLOps best practices, including model monitoring, logging, explainability, and CI/CD pipelines for AI assets. Strong communication and teamwork skills, with an ability to work effectively across cross-functional teams including solution architects, data scientists, and business stakeholders. What You Will Receive Love your career: Competitive total rewards package. Blog during work hours; take a day off and volunteer for your favorite charity. Love your work/life balance: Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection. Love your coworkers: Collaborate with some of the best and brightest in the industry! Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like! Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual bu