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Jobs via eFinancialCareers ยท 3 days ago
Senior Machine Learning Engineer
Normal, IL
Full-time
Onsite
Senior Level
$165K/yr - $188K/yr
4+ years exp
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Responsibilities
Design, build, and deliver ML models and components to solve business problems.
Inform infrastructure decisions using ML modeling techniques.
Write and test application code, develop and validate ML models, and automate tests and deployment.
Collaborate in a cross-functional Agile team to create software for big data and ML applications.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines for ML models.
Utilize cloud-based architectures and technologies to deliver optimized ML models at scale.
Implement continuous integration and deployment best practices for ML models and application code.
Ensure code management, model governance, and best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.
Qualification
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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 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
Performance based incentive compensation
Health, financial, and other benefits
Company
Jobs via eFinancialCareers
The space to inspire and grow exceptional careers in financial services and tech.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase
