AI/ML Engineer

Stack

Responsibilities

• ▹Develop, deploy and maintain robust AI and machine learning pipelines for internal and client-driven projects
• ▹Deploy, manage and scale AI models, including pre-trained models (e.g. LLMs) and custom ML models, in production environments
• ▹Work with data scientists to turn model prototypes into scalable, production-ready AI systems
• ▹Optimise and tune model performance, latency and cost-efficiency on cloud platforms
• ▹Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and use containerisation (Docker, Kubernetes) for consistent deployment
• ▹Apply standard MLOps practices, including CI/CD, model versioning, monitoring and maintenance
• ▹Coordinate with software engineering teams to integrate AI capabilities into applications and user workflows
• ▹Stay up to date with advancements in AI/ML, Generative AI and MLOps deployment strategies

Requirements

• ▹Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence or a related quantitative field
• ▹4 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role
• ▹1-3 years of experience with ADK or other agentic frameworks
• ▹Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch or Scikit-learn
• ▹Hands-on experience deploying pre-trained models, such as LLMs or similar Generative AI technologies, into production environments
• ▹Solid experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes
• ▹In-depth knowledge of data engineering principles, ETL/ELT processes and version control systems (e.g. Git)
• ▹Experience orchestrating machine learning pipelines using open-source tools like Kubeflow or managed cloud services
• ▹Experience building and optimising scalable AI/ML systems
• ▹Familiarity with MLOps best practices, including model monitoring, logging and CI/CD pipelines for AI assets
• ▹Strong communication and teamwork skills across cross-functional teams, including solution architects and data scientists

Soft skills

What we offer

• ▹Competitive total rewards package
• ▹Fully remote work with no daily travel requirement; all equipment for working from home, including a laptop with your choice of OS
• ▹Annual budget to personalise your work environment
• ▹Substantial training allowance, professional development days and certifications
• ▹Annual wellness budget (e.g. gym memberships, massages)
• ▹Generous paid vacation and sick days
• ▹A paid day off to volunteer for a charity
• ▹Blogging during work hours

About the company

Pythian is a multinational company founded in 1997 that provides strategic database and analytics services. It has strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP and Snowflake.