Machine Learning Operations Engineer

2 weeks ago

Ottawa, Canada Assent Full time
Company Description

Assent is the leading solution for supply chain sustainability tailored for the world’s top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability.

We are proud to announce that Assent has crossed the US$100M ARR milestone, granting us Centaur Status. This accomplishment, reached just 8 years following our Series A, makes us the first and only Certified B Corporation in North America's SaaS sustainability industry to celebrate this milestone.

Our journey from $5 million to US$100M ARR in just eight years has been marked by significant growth and achievements. With our $350 million US funding led by Vista Equity Partners, we're poised for even greater expansion and are on the lookout for outstanding team members to join our mission.

Hybrid Work Model

At Assent, we proudly embrace a remote-first work model, valuing the flexibility and autonomy it provides our team. We also acknowledge the intangible benefits of occasional in-person workdays. For team members situated within 50 kms/31 miles of our five global offices in Ottawa, Eldoret, Penang, Columbus, and Amsterdam, you can expect to come into the office at least one day a week. Similarly, those near our co-working spaces in Nairobi and Toronto are encouraged to work onsite once a month.

Job Description

The Intermediate Machine Learning Operations Engineer is responsible for developing and maintaining key machine learning infrastructure throughout its lifecycle. This role will ensure that ML and AI models deployed in production at Assent are performant, reliable, maintain (and improve in) accuracy over time, and integrate well with the overall Assent software suite. The Intermediate ML-Ops Engineer will also support data pipeline development with respect to ML model inputs and outputs. This person will have an important role in designing cutting edge infrastructure, supporting key product offerings from Assent. The Intermediate Machine Learning Operations Engineer is a data-oriented, out-of-the-box thinker who is passionate about data, machine learning, understanding the business, and driving business value.

Key Requirements and Responsibilities

  • Develop key data pipelines moving data into and out of ML and AI models in production environments for Assent's digital products;
  • Support the development of a robust ML-Ops framework to support model tracking and continuous improvement;
  • Support ongoing and automated statistical analysis of ML models in production;
  • Work closely with adjacent teams to proactively identify potential issues in performance and availability, with respect to data systems impacting ML models;
  • Be curious, proactive and iterative, prepared to try unconventional ideas to find solutions to difficult problems;
  • Apply engineering principles to proactively identify issues, develop solutions, and recommend improvements to existing ML Operations;
  • Be self-motivated and highly proactive at exploring new technologies;
  • Stay up to date with machine learning and AI principles, models, tools and their applications in data processing and analysis;
  • Find creative solutions to challenges involving data that is difficult to obtain, complex or ambiguous;
  • Manage multiple concurrent projects, priorities and timelines;
  • Support the Machine Learning team in the pursuit of building business critical data products;
  • Configure & deploy relevant implementations to the Amazon Web Service (AWS) Cloud;

This is not an exhaustive list of duties. Responsibilities may be altered and/or added from time to time to meet business needs.

Qualifications

We strongly value your talent, energy and passion. It will also be valuable to Assent if you have the following qualifications:

  • 2-4 years of experience in MLOps, machine learning engineering, or related fields, with hands-on experience deploying and maintaining ML models in production environments.
  • A degree in Computer Science, Engineering, or a related field (A Masters level degree, or higher, is highly preferred)
  • A demonstrable understanding of machine learning and AI principles, models, tools, and their applications in data processing and analysis.
  • Strong knowledge of SQL for data retrieval.
  • Excellent ability to use Python for data extraction and manipulation.
  • Solid working knowledge of AWS systems and services; comfort working with SageMaker, EC2, S3, Lambda, Terraform.
  • Solid working knowledge of MLOps, versioning, orchestration and containerization tools; MLFlow, Kubeflow, Airflow, DVC, Weights & Biases, Docker, Kubernetes.
  • Strong understanding of statistical analysis methods and procedures.
  • Ability to apply engineering principles to proactively identify issues, develop solutions, and recommend improvements.
  • Excellent analytical ability and creative problem-solving skills, including the ability to deal with situations where information is difficult to obtain, complex or ambiguous.
  • Excellent organizational skills and ability to manage multiple priorities and timelines.
  • You’re a great team player, constantly looking to support your teammates on their mission of building great data products.

Reasonable Accommodations Statement: To perform this job successfully, an individual must be able to perform the aforementioned duties and responsibilities satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform these essential functions. Assent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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