Evergreen - MLOps/Software Developer - Artificial Intelligence / Machine Learning

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a MLOps Engineer to join our rapidly growing

engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers.

In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.

A day in the life might look like:

Work with a team of machine learning engineers and software developers

developers to build up, maintain and improve MLOps infrastructures that

provides AI solutions to Clio customers;

Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers;Work in an agile environment with our team of machine learning engineers,

MLOps engineering and full stack developers across a variety of projects;

Learning new things, and challenging yourself and honing your craft as a

machine learning expert;

Participating in diverse projects and collaborating with multiple engineering

teams across three countries;

Review and provide feedback on code, both from within your own team or across all of Clio.Collaborate with teams across Clio to diagnose, understand, and solve problems, and to build solutions that may span many areas.Teach and learn from those around you - providing constructive feedback to

those around you, and taking on feedback to help grow.

What you may have:

Experience in deploying models either via native infrastructure (such as AWS,

Azure, etc) or 3rd party MLOps platforms;

Experience with technical evaluations of various MLOps products, and

conducting quick POCs if needed;

A working understanding of LLMs and their MLOps landscape;Ability to manipulate, clean, pre-process complex unstructured data for model

development;

The ability to gain fluency in new technologies quickly and work effectively in a dynamic and ever-evolving environment that includes distributed teams and

customers;

Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products;A diverse base of knowledge that allows you to help your team solve complex

technical problems;

A portfolio of past projects (including notable successes and lessons learned)Excellent communication skills and the ability to build high-trust relationships with fellow Clions and customers.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. Flexible time off policy, with an encouraged 20 days off per year.$2000 annual counseling benefitRRSP matching and RESP contribution Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $115,300 to $156,000 CAD. Please note there are a separate set of salary bands for other regions based on local currency.

Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

Key Skills

• Data Science