Machine Learning Dev/ops Architect

5 days ago

Bengaluru, India GLOBALFOUNDRIES Full time

**Title: ML Dev/Ops Architect**

**About GlobalFoundries**

**Introduction**

**Responsibilities**:

- Automate ML process and make models work in a production environment.
- Architect and create data views from the big data store to feed into analysis engines, ML Models, visualization engines, etc.
- Develop the global roadmap and strategy for production ML flows

**Required Qualification**
- Education: BS or MS in computer science, data science, or related field
- Years of Experience: BS 4-6 years, MS 2-5 years.
- Fluency in English Language - written & verbal

**Preferred Qualification**
- Solid programming skills in one or more of the following coding languages: Python (with basic ML libraries), pyspark, Java, and SQL.
- Hands-on Machine Learning/Data Science deployment experience in cloud and edge analytics infrastructure, and AWS.
- Experience in data wrangling, data transformation using python and/or Big data frameworks.
- Proficient in git version control. Hands-on CI/CD with jenkins or other similar tools.
- Experience in Kubernetes/Docker and Microservices.
- Experience in working with ML frameworks.
- Experience working with basic ML libraries and packages.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

GLOBALFOUNDRIES is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

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