MLOps/DevOps Engineer @ Ingenworks | Jobright.ai
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Ingenworks · 5 hours ago

MLOps/DevOps Engineer

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Qualification

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PythonMachine Learning frameworksCI/CD toolsCloud PlatformsDockerKubernetesPrometheusGrafanaELK stackGitBashApache AirflowKubeflowSparkHadoopData governanceCompliance requirementsDVCMLflow

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

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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 Stage
Company data provided by crunchbase
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