Ingenworks · 8 hours ago
MLOps/DevOps Engineer
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H1B Sponsor Likely
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Qualification
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Required
Proficiency in Python, Bash, and scripting languages
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions)
Familiarity with AWS (SageMaker, Lambda), Azure ML, or GCP AI Platform
Proficiency with Docker and Kubernetes
Experience with Prometheus, Grafana, and ELK stack
Knowledge of tools like Git, DVC, or MLflow
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
9+ years of experience in DevOps or MLOps engineering
Proven experience deploying and managing machine learning models in production environments
MLOps: 8 years (Required)
Preferred
Familiarity with workflow orchestration tools (e.g., Apache Airflow, Kubeflow)
Understanding of distributed data processing tools (e.g., Spark, Hadoop)
Knowledge of data governance and compliance requirements
Company
Ingenworks
Ingenworks is a software firm.
H1B Sponsorship
Ingenworks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (3)
2021 (6)
2020 (7)
Funding
Current Stage
Early StageCompany data provided by crunchbase