MLOpsDevOps Engineer
MLOpsDevOps Engineer
Posted on :
26-07-2024
Employer Active
1 Vacancy
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
This is a remote position.
environment. 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 stateoftheart cloud technologies best in class
deployment architectures/frameworks and production grade software. Finally the
role requires strong team and interdisciplinary collaboration to see products
through the development cycle from beginning to end.
Core Job Responsibilities:
Develop endtoend pipelines encompassing the ML lifecycle from data ingestion
data transformation model training &validation model deployment & 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 to cloud and onprem edge.
Manage a team of DevOps/MLOps engineers.
Learn and apply new tools technologies and industry best practices.
Requirements
Key Qualifications
MS in Computer Science Software Engineering or equivalent field
Experience with Cloud Platforms especially GCP 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
preferred.
Strong DevOps skills: Linux/Unix environment testing troubleshooting
automation Git dependency management and build tools (GCP Cloud Build
Jenkins Bazel Gitlab CI/CD Github Actions etc.).
Data engineering skills a plus such as Beam Spark Pandas SQL Kafka GCP
Dataflow etc.
5 years of experience including academic experience in any of the above.
3 years of managing a DevOps/MLOps team.
Benefits
Best in the industry
Key Qualifications MS in Computer Science, Software Engineering, or equivalent field Experience with Cloud Platforms, especially GCP, 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 preferred. Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Bazel, Gitlab CI/CD, Github Actions, etc.). Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. 5+ years of experience, including academic experience, in any of the above. 3+ years of managing a DevOps/MLOps team.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
