MLOps/DevOps Engineer

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Anywhere

Offer summary

Qualifications:

MS in Computer Science, Software Engineering, or a related field., At least 5 years of experience in MLOps/DevOps roles., Proficiency with cloud platforms, especially GCP, and related tools like Docker and Kubernetes., Strong team management skills with 3+ years of experience leading DevOps/MLOps teams..

Key responsibilities:

  • Develop end-to-end ML pipelines from data ingestion to model evaluation.
  • Collaborate with AI scientists to deploy machine learning models into production.
  • Set up and maintain CI/CD pipelines for ML algorithms.
  • Manage and lead a team of DevOps/MLOps engineers.

IMC Group (Member Firm of Andersen Global) logo
IMC Group (Member Firm of Andersen Global)
51 - 200 Employees
See all 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 state-of-the-art 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 end-to-end 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 on-prem 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


Salary:

1000000

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

CI/CDCloud ComputingMLOps (Machine Learning Operations)DevOpsMLflowAzure Machine LearningGit (Version Control System)Cloud DataflowKubernetesPython (Programming Language)LinuxApache AirflowApache KafkaSQL (Programming Language)KubeflowDocker (Software)Data EngineeringPandas (Python Package)Edge ComputingApache BeamApache Spark

Other Skills

  • Problem Solving
Are you interested?

DevOps Engineer Related jobs

See more DevOps Engineer jobs