Join Talan as an MLOps Architect

About Talan

Talan, a leader in technology innovation and transformation consulting, has been guiding enterprises and government bodies globally for over two decades. With a presence on five continents, Talanguides businesses in embracing technological shifts like Big Data, IoT, Blockchain, and Artificial Intelligence. Anticipating a revenue of €600 million in 2023, and targeting over a billion by 2025, Talan integrates innovation at the core of its developmental initiatives.

Job Description

Talan is actively seeking an MLOps Architect to contribute to our leading insurance sector client's drive towards hyper-automation of internal processes.

Role Overview:

The MLOps Architect will play a critical role in developing machine learning solutions from data preparation to production deployment. You will collaborate closely with data scientists to operationalize AI solutions across various business domains such as digital technology, marketing, sales, actuarial science, and operations, encompassing all aspects of insurance.

Key Responsibilities:

• Lead the team in utilizing technologies like AWS Sagemaker, MLFlow, and Python/R/SQL to operationalize AI-based solutions.
• Ensure efficient data preparation using the DWA engineering framework.
• Maintain high-quality engineering standards for models developed by data scientists.
• Support data scientists in using API services from Clouds or open-source libraries for solution development.
• Provide comprehensive documentation of AI solutions.
• Collaborate with data scientists on analysis/development mandates using AWS Sagemaker and Anaconda Enterprise.
• Optimize and utilize the available technologies efficiently.

Qualifications:

• Minimum of 10 years of experience in a similar role.
• Proven experience with AWS Sagemaker.
• Excellent understanding of artificial intelligence techniques.
• Expertise in best practices in software engineering to structure source code.
• Deep knowledge in data engineering.
• Understanding of data preparation challenges related to artificial intelligence.
• Knowledge of Python and/or R, DevOps tools, and practices (GitHub, Jenkins), MLFlow, and Anaconda Enterprise.

Additional Benefits of Joining Talan

• Engage with a company that places innovation at the heart of its business, investing in impactful technologies for its clients.
• Be part of dynamic teams where the role of each collaborator is central.
• Access to communities of knowledge within the group, and opportunities to share your expertise, innovate, and contribute to Talan's development.
• Competitive market benefits.

Position is hybrid, based in Montreal or Quebec, with 20% in-person requirement.

Commitment to Diversity and Inclusion

Talan is a playground of vast opportunity, committed to a humanistic approach in technology. We believe in the power of collective intelligence, which combines a diversity of profiles, experiences, and technological and sector expertise, fostering equal employment opportunity for all, including women, ethnic and visible minorities, indigenous people, and persons with disabilities. Talan encourages all eligible individuals to apply.

We look forward to engaging with individuals passionate about the digital age and eager to make a progressive impact through collective efforts. Apply today!