[Hiring] AI/ML Engineer @Pythian

Role Description

As an AI / ML Engineer, you will be a contributor to the design, development, and implementation of Artificial Intelligence and Machine Learning solutions. Your primary focus will be on developing, implementing, and maintaining robust, scalable, and reliable AI/ML pipelines, with an emphasis on integrating and optimizing models, including Large Language Models (LLMs) and Generative AI technologies, into client and internal products. Your role requires a deep knowledge of ML engineering best practices and the AI ecosystem, coordinating with data scientists and software engineering teams.

What you will be doing:

• 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, into production environments.
• Work with data scientists to implement model prototypes into scalable, production-ready AI systems.
• Optimize and tune model performance, latency, and cost-efficiency on cloud platforms.
• Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment.
• Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems.
• Coordinate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows.
• Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies.

Qualifications

• 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.
• Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in deploying and working with pre-trained models, such as Large Language Models (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 in orchestrating Machine Learning pipelines using open-source tools like Kubeflow or managed cloud services.
• Experience in building and optimizing 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, with an ability to work effectively across cross-functional teams including solution architects and data scientists.

Benefits

• Competitive total rewards package.
• Flexibly work remotely from your home, with no daily travel requirement to an office.
• Collaborate with some of the best and brightest in the industry.
• Substantial training allowance for skill development and professional growth.
• All necessary equipment to work from home, including a laptop with your choice of OS.
• Annual wellness budget for health and well-being priorities.
• Generous amount of paid vacation and sick days, plus a day off to volunteer for your favorite charity.

Hiring Disclaimer

The successful applicant will need to fulfill the requirements necessary to obtain a background check. Accommodations are available upon request for candidates taking part in any aspect of the selection process.

AI Disclaimer

Pythian may utilize Enterprise Generative Artificial Intelligence (AI) tools or features throughout its hiring process. These tools help us manage high volumes of applications efficiently and may be employed to review applications, analyze resumes, and assist with other recruitment steps. While Pythian uses AI in its hiring process, it does not substitute for human judgment. Our Talent Acquisition Team reviews all AI-generated recommendations, and the system is subject to regular bias audits to ensure fairness and compliance with all applicable employment and human rights laws. All final hiring decisions are made by, and remain the responsibility of, human decision-makers. By applying for this position, you consent to Pythian’s use of these AI tools in the evaluation of your application. You have the right to request a human review of any solely AI-driven decision or to request an accommodation. Should you require further details regarding the processing of your data, please reach out to us.