MLOps Engineer

Job Description

Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

(E=Essential P= Preferred)

E - Demonstrated experience and knowledge in Linux and Docker containers

E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS)

E - Proficient in programming languages: Python

P - Demonstrated experience and knowledge in unit and integration testing

E - Experience with ML/Ops technologies like Azure ML

P - Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow

P - Experience designing and implementing CICD pipelines for automation.

P - Experience designing monitoring dashboards (Grafana or similar)

E - Experience with SQL

E - Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc.

E - Strong ability to analyze and synthesize. (Good analytical and logical thinking capability)

E - Proactive attitude, resolutive, used to work in a team and manage deadlines.

E - Ability to learn quickly

E - Agile methodologies development (SCRUM/KANBAN).

E - Minimal work experience of 5 years with at least 1 year in a similar role.

E - Ability to keep fluid communication written and oral in English, both written and spoken