[Hiring] Lead AI/ML Engineer @Pythian

Role Description

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.

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.

Qualifications

• 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.

Benefits

• Competitive total rewards package.
• Flexibly work remotely from your home, there’s no daily travel requirement to an office!
• Collaborate with some of the best and brightest in the industry!
• Substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
• All the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
• Annual wellness budget to prioritize your health and well-being.
• Generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.