Senior AI / ML Engineer
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Job Description
Senior AI / ML Engineer at Pythian, responsible for AI/ML solution design and deployment. Collaborate with cross-functional teams to optimize AI models and pipelines in client-focused projects.
Responsibilities:
- Design, develop, and maintain high-performance AI and machine learning pipelines for complex internal and client-driven projects.
- Deploy, manage, and scale diverse AI models, including pre-trained models (e.g., LLMs, vision models) and custom ML models, into production environments.
- Collaborate 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.
- 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.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field. Ph.D. is a plus.
- 5 to 7 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role.
- 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.
- Solid understanding of 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 collaboration skills, with an ability to work effectively across cross-functional teams including solution architects, data scientists, and business stakeholders.
Benefits:
- Competitive total rewards package
- Blog during work hours; take a day off and volunteer for your favorite charity.
- Flexibly work remotely from your home, there’s no daily travel requirement to an office!
- Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
- We give you 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!
- Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more).
- A generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.
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