Get new jobs for this search by email

Job Description

n

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.

n

Create and maintain a scalable code to deliver AI/ML processes.

n

Design and implement the pipelines for building and deployment of ML models.

n

Design dashboards to monitor a system.

n

Collect metrics and create alerts based on them.

n

Design and execute performance tests.

n

Perform feasibility studies/analysis with a critical point of view.

n

Support and maintain (troubleshoot issues with data and applications).

n

Develop technical documentation for applications, including diagrams and manuals.

n

Working on many different software challenges always and ensuring a combination of simplicity and

n

maintainability within the code.

n

Contribute to architectural designs of large complexity and size, potentially involving several distinct

n

software components.

n

Work as a member of a team, encouraging team building, motivation and cultivating effective team

n

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 Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .

n

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

n

Skills and Requirements

n

Minimal work experience of 6+ years with evidence.

n

Demonstrated experience and knowledge in Linux and Docker containers

n

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

n

Proficient in programming languages: Python

n

Experience with ML/Ops technologies like Azure ML

n

Experience with SQL

n

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

n

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

n

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

n

Ability to learn quickly

n

Agile methodologies development (SCRUM/KANBAN).

n

Ability to keep fluid communication written and oral in English, both written and spoken Demonstrated experience and knowledge in unit and integration testing

n

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

n

Experience designing and implementing CICD pipelines for automation.

n

Experience designing monitoring dashboards (Grafana or similar) null

n

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to