Senior Machine Learning Engineer @ ClickJobs.io | Jobright.ai
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Senior Machine Learning Engineer jobs in McLean, VA
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ClickJobs.io · 1 week ago

Senior Machine Learning Engineer

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Responsibilities

Design, build, and/or deliver ML models and components to solve real-world business problems in collaboration with Product and Data Science teams.
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
Write and test application code, develop and validate ML models, and automate tests and deployment to solve complex problems.
Collaborate as part of a cross-functional Agile team to create software for big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Use continuous integration and deployment best practices to ensure successful deployment of ML models and application code.
Ensure code management, model governance, and ML best practices in Responsible and Explainable AI.
Utilize programming languages like Python, Scala, or Java.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonScalaJavaData-intensive solutionsDistributed computingML frameworksScikit-learnPyTorchDaskSparkTensorFlowProductionizingMonitoringMaintaining modelsKubeflowML systemsData gatheringCode developmentML solutions deploymentPublic cloudDistributed file systemsMulti-node databaseOpen source contributionML research publicationData pipeline developmentPipeline scalingPipeline performance evaluation

Required

Bachelor’s degree
At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
At least 3 years of experience designing and building data-intensive solutions using distributed computing
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models

Preferred

1+ years of experience with Spark and Kubeflow or other pipeline orchestration technologies
1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ years of experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience with distributed file systems or multi-node database paradigms
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
3+ years of experience building production-ready data pipelines that feed ML models
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

Benefits

Health Insurance
Financial Benefits
Inclusive Benefits Package

Company

ClickJobs.io

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Funding

Current Stage
Early Stage
Company data provided by crunchbase
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Orion

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