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.
Create and maintain a scalable code to deliver AI/ML processes.
Design and implement the pipelines for building and deployment of ML models.
Design dashboards to monitor a system.
Collect metrics and create alerts based on them.
Design and execute performance tests.
Perform feasibility studies/analysis with a critical point of view.
Support and maintain (troubleshoot issues with data and applications).
Develop technical documentation for applications, including diagrams and manuals.
Working on many different software challenges always and ensuring a combination of simplicity and
maintainability within the code.
Contribute to architectural designs of large complexity and size, potentially involving several distinct
software components.
Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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
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Minimal work experience of 6 years with evidence.
Demonstrated experience and knowledge in Linux and Docker containers
Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS)
Proficient in programming languages: Python
Experience with ML/Ops technologies like Azure ML
Experience with SQL
Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc.
Strong ability to analyze and synthesize. (Good analytical and logical thinking capability)
Proactive attitude, resolutive, used to work in a team and manage deadlines.
Ability to learn quickly
Agile methodologies development (SCRUM/KANBAN).
Ability to keep fluid communication written and oral in English, both written and spoken
Demonstrated experience and knowledge in unit and integration testing
Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow
Experience designing and implementing CICD pipelines for automation.
Experience designing monitoring dashboards (Grafana or similar)
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.