Pythian empowers organizations to leverage advanced AI technologies to stay competitive in the rapidly changing digital economy
Job Summary
Pythian empowers organizations to leverage advanced AI technologies to stay competitive in the rapidly changing digital economy.
As an AI/ML Engineer, you will develop and maintain scalable AI/ML pipelines, integrating models including LLMs and Generative AI into production environments.
Employees enjoy flexible remote work, substantial training allowances, wellness budgets, and a supportive, collaborative work culture.
Matching Summary
Pythian empowers organizations to leverage advanced AI technologies to stay competitive in the rapidly changing digital economy.
Skills & Requirements
Must-have
AI/ML pipeline development
Large Language Models integration
Cloud platforms AWS GCP Azure
Containerization with Docker Kubernetes
MLOps best practices
Python programming
ML frameworks TensorFlow PyTorch
Nice-to-have
Strong communication and teamwork skills
Collaboration with data scientists and engineers
Continuous learning and professional development
Experience with open-source ML orchestration tools
Focus on cost-efficiency and performance optimization
Key Requirements
Bachelor’s or Master’s degree in Computer Science or related field
2 to 5 years machine learning engineering experience
Experience deploying pre-trained and custom ML models
Proficiency with cloud platforms and container orchestration
Knowledge of Data Engineering and version control systems
Experience with Kubeflow or managed ML pipeline services