more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Philadelphia, Pennsylvania, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Richmond, Virginia, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Chicago, Illinois, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Atlanta, Georgia, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Washington, Washington DC, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Wilmington, Delaware, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Cambridge, Massachusetts, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Dallas, Texas, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Boston, Massachusetts, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Mc Lean, Virginia, United States Hybrid/Remote Options
Capital One
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯
Abingdon, Oxfordshire, United Kingdom Hybrid/Remote Options
NES Fircroft
the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computerscience, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development More ❯
Arlington, Texas, United States Hybrid/Remote Options
Halvik
architecture data security best practices and compliance requirements relevant to federal environments Required Qualifications Must hold a current Secret Clearance Must live within the DMV area Bachelors degree in ComputerScience Engineering Information Systems or a related discipline Minimum of 5 years of relevant experience (with 7 or more being highly desirable) Strong proficiency in Python (for data More ❯
k) plan, and paid sick leave (depending on work locationKey Requirements and Technology Experience: Key skills;(link removed) Java C# Springboot Rest API Bachelors or Masters degree in computerscience or arelated technology discipline 9+ years of software development experience on businesscritical, enterprise-wide applications Strong knowledge of .NET coding practices for mid-tierapplications that perform business logic More ❯
SQL Server) and object-oriented programming. Ability to balance hands-on coding with leadership and mentoring responsibilities. Strong problem-solving, analytical, and communication skills. Qualifications: Bachelor's degree in ComputerScience, Software Engineering, or related field. 5+ years of professional .NET development experience. Experience with Azure services (AKS, Functions, App Services, Data Lake, Data Factory, Logic Apps). More ❯
Framework Core or similar). Experience with cloud infrastructure (Azure, AWS, or GCP) and DevOps pipelines. Excellent analytical, problem-solving, and communication skills. BS and/or MS in ComputerScience, Software Engineering, or a related technical field. Bonus Point For Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) or building internal automation tools. Background More ❯
