AI / ML Engineer

Why Pythian: At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian, a multinational company, was founded in 1997 and started by ensuring the reliability and performance of mission-critical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from on-premises to cloud environments, and as enterprises sought more from their data, we expanded our competencies to include advanced analytics. Today, we empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today’s rapidly changing digital economy. Why you: 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. If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers 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.

What we need from you:

Bachelor’s or Master’s degree in Computer Science... Engineering... Artificial Intelligence... or related quantitative field.
2 to 5 years of progressive experience in machine learning engineering... software development with an ML/AI focus... or related role.
Strong programming skills in Python... proficiency in ML/AI frameworks such as TensorFlow... PyTorch... or Scikit-learn.
Hands-on experience deploying 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) ... container orchestration using Docker... Kubernetes.
In-depth knowledge of Data Engineering principles... ETL/ELT processes... version control systems (e.g., Git).
Experience orchestrating Machine Learning pipelines using open-source tools like Kubeflow or managed cloud services.
Experience building optimizing scalable AI/ML systems.
Familiarity with MLOps best practices including model monitoring logging CI/CD pipelines for AI assets.
Strong communication teamwork skills working effectively across cross-functional teams including solution architects data scientists.

What you will receive:

Love your career: Competitive total rewards package... Blog during work hours; take a day off volunteer for your favorite charity.
Love your work/life balance: Flexibly work remotely from home; no daily travel requirement! Just stable internet connection.
Love your coworkers: Collaborate with some of best brightest industry!
Love your development: Hone skills learn new ones substantial training allowance; professional development days; attend training; become certified—whatever you like!
Love your workspace: Equipment needed work from home including laptop choice OS; plus annual budget personalize workspace!
Love yourself: Pythian cares health & well-being team annual wellness budget gym memberships massages fitness & more; generous paid vacation & sick days; day off volunteer favorite charity.

Hiring Disclaimer

Successful applicant must fulfill requirements necessary obtain background check.
Accommodations available upon request candidates taking part any aspect selection process.
Pythian looking fill position ASAP active & open.

AI Disclaimer Pythian may utilize Enterprise Generative Artificial Intelligence tools/features throughout hiring process managing high volumes applications efficiently & employed review applications analyze resumes assist recruitment steps... The pay range for this role is: 90,...000 -130,...000 CAD per year (Canada) Apply now Professional Services | Canada