Machine Learning Engineer

Machine Learning Engineer (Security) | NFCUJP00012078 | Remote
be an intermediate-level position within the ML engineering field but will also require business soft skills
Familiarity with Cloud computing environments such as Microsoft Azure
Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch
Familiar with project management concepts and frameworks, and tools such as ADO
Using data science and machine learning analytics, the contractor will develop models and insights to
support risk-based operational decisions for the organization
departments to develop data pipelines for ML modeling and process optimization
creating descriptive and predictive models in conjunction with cybersecurity frameworks to drive riskinformed decision making across the organization
Will operate under moderate supervision, but with
wide latitude for independent decision-making on project features, tuning, and presentation
solutions drawing on descriptive and predictive modeling, with a focus on ML engineering
Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze
and gain insights within large data sets
Evaluate model design and performance and perform feature analysis and hyper tuning
model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine
Using statistical practices, analyze current and historical data to make predictions, identify risks,
and opportunities, enabling risk-informed decision making
deliver strategic advanced analytic based solutions from design to deployment
Recognize potential issues and risks during project implementation and suggest mitigation
The target hiring compensation range for this role is the equivalent of $65.Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location
medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match
be an intermediate-level position within the ML engineering field but will also require business soft skills
Familiarity with Cloud computing environments such as Microsoft Azure
Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch
Familiar with project management concepts and frameworks, and tools such as ADO
Using data science and machine learning analytics, the contractor will develop models and insights to
support risk-based operational decisions for the organization
departments to develop data pipelines for ML modeling and process optimization
creating descriptive and predictive models in conjunction with cybersecurity frameworks to drive riskinformed decision making across the organization
Will operate under moderate supervision, but with
wide latitude for independent decision-making on project features, tuning, and presentation
solutions drawing on descriptive and predictive modeling, with a focus on ML engineering
Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze
and gain insights within large data sets
Evaluate model design and performance and perform feature analysis and hyper tuning
model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine
Using statistical practices, analyze current and historical data to make predictions, identify risks,
and opportunities, enabling risk-informed decision making
deliver strategic advanced analytic based solutions from design to deployment
Recognize potential issues and risks during project implementation and suggest mitigation
The target hiring compensation range for this role is the equivalent of $65.Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location
medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match
Using data science and machine learning analytics, the contractor will develop models and insights to
support risk-based operational decisions for the organization. departments to develop data pipelines for ML modeling and process optimization. creating descriptive and predictive models in conjunction with cybersecurity frameworks to drive riskinformed decision making across the organization. wide latitude for independent decision-making on project features, tuning, and presentation. be an intermediate-level position within the ML engineering field but will also require business soft skills
and SQL/Database skillsets.
solutions drawing on descriptive and predictive modeling, with a focus on ML engineering.
• Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze
and gain insights within large data sets.
• Evaluate model design and performance and perform feature analysis and hyper tuning. model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine
Using statistical practices, analyze current and historical data to make predictions, identify risks,
and opportunities, enabling risk-informed decision making.
• deliver strategic advanced analytic based solutions from design to deployment.
• Recognize potential issues and risks during project implementation and suggest mitigation
Master’s degree in Statistics, Mathematics, Computer Science, Engineering or other related
fields
• Familiarity with Cloud computing environments such as Microsoft Azure.
• Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch.
• Familiar with project management concepts and frameworks, and tools such as ADO.
• Remains cognizant of and adheres to Navy Federal policies and procedures, regulations pertaining to the
The target hiring compensation range for this role is the equivalent of $65.Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match Company information
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