Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,289,323)

Job Information

QuEST Global ML Ops/DevOps Engineer in Bangalore (Bengaluru), India

59932BR

Title:

ML Ops/DevOps Engineer

Job Description:

Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

Roles & Responsibilities:

We are looking for a highly motivated individual who can develop cutting edge MLOps and DevOps frameworks to deploy AI models. The candidate should have a solid grasp of state-of-the-art cloud technologies, best in class deployment architectures/frameworks and production grade software. The candidate must have an open mindset regarding the tradeoffs between coding from scratch versus utilizing existing frameworks. Many of the problems we encounter are novel and have never been solved before, so creative, out-of-the-box thinking and a fondness for experimentation are a must. We also want someone who stays current with recent trends in MLOps/DevOps so our approaches remain the most robust and competitive in the industry. Finally, the role requires strong team and interdisciplinary collaboration to see products through the development cycle from beginning to end

  • Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time

  • Collaborate closely with AI scientists to accelerate productionization of ML algorithms.

  • Setup CI/CD/CT pipelines for ML algorithms.

  • Deploy models as a service both on-cloud and on-prem.

  • Learn and apply new tools, technologies, and industry best practices

Required Skills (Technical Competency):

  • MS in Computer Science, Software Engineering, or equivalent field

  • ​​​​​​​Experience with Cloud Platforms, especially GCP and Azure, and related skills: Docker, Kubernetes, edge computing

  • Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.

  • Fluency in at least one general purpose programming language. Python or Java preferred. Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, , dependency management, and build tools (GCP Cloud Build, Jenkins, Gitlab CI/CD, Github Actions, etc.).

  • Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc.

  • 3+ years of experience, including academic experience, in any of the above.

Auto req ID:

59932BR

Job Type:

Full Time-Regular

Assignment Country:

India

Total Years of Exp:

3 - 6

Education Type:

B.E/B.Tech/BS-Computer Science

Assignment State:

Karnataka

Assignment Location:

Bangalore (Bengaluru)

Experience Level:

Entry Level

DirectEmployers