Machine Learning Operations Engineer - Intermediate

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.

Additional Information

Life at Assent

Wellness : We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more.

Financial Benefits : It’s not all about the money well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more.

Life at Assent : There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning : At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard.

Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process, please contact talent@assent.

com and we will be happy to help.