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 Communication Strategy and Management, Delivery Excellence and Requirements management Responsibilities Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization Will work collaboratively with multiple departments to develop data pipelines for ML modeling and process optimization Will be tasked with 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 Support the delivery of strategic advanced analytics solutions across the organization with 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 Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment Recognize potential issues and risks during project implementation and suggest mitigation Perform other duties as assigned The target hiring compensation range for this role is the equivalent of $65.45 to $72.72 an hour Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match Qualifications 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 Communication Strategy and Management, Delivery Excellence and Requirements management Responsibilities Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization Will work collaboratively with multiple departments to develop data pipelines for ML modeling and process optimization Will be tasked with 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 Support the delivery of strategic advanced analytics solutions across the organization with 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 Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment Recognize potential issues and risks during project implementation and suggest mitigation Perform other duties as assigned Benefits The target hiring compensation range for this role is the equivalent of $65.45 to $72.72 an hour Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match Basic Purpose: Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization. Will work collaboratively with multiple… departments to develop data pipelines for ML modeling and process optimization. Will be tasked with 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. This will be an intermediate-level position within the ML engineering field but will also require business soft skills and SQL/Database skillsets. Responsibilities: • Support the delivery of strategic advanced analytics solutions across the organization with 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. Analyze model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine learning algorithms. • Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling risk-informed decision making. • Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment. • Recognize potential issues and risks during project implementation and suggest mitigation strategies. • Perform other duties as assigned Desired Qualifications and Education Requirements: • 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.
- Communication Strategy and Management, Delivery Excellence and Requirements management
Bank Secrecy Section (BSA): Remains cognizant of and adheres to Navy Federal policies and procedures, regulations pertaining to the Bank Secrecy Act. The target hiring compensation range for this role is the equivalent of $65.45 to $72.72 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match Company information Aquent is the leading global work solutions company helping guide businesses toward the talent, technology, and services they need to excel. From specialty recruiting and talent experience to creative strategy and project management, Aquent is making the future of work better for everyone. Its brands include Aquent Talent, Aquent Studios, Aquent RoboHead, Aquent Scout, Aquent Employer of Record, and Aquent Gymnasium. To learn more, visit aquent.com. Professional Services, Information Technology and Services, Marketing and Advertising, Marketing & Communications, Staffing and Recruiting, Creative Services, Design, Creative Agency, Creative & Design, Digital & Technology Privately Held Company Specialties: Employer of Record Services, Digital Marketing, Graphic Design, Freelance Recruitment, Extended Workforce Services, Marketing Talent, Creative Talent, Marketing Staffing, Creative Staffing, Web Development, Staffing, Web Development Staffing, UX Staffing, Professional Development, Content Marketing, Creative Studio, UI Staffing, UI, UX, Web Development Staffing, and Project Management Cloud Solution #J-18808-Ljbffr
Teamwork Azure Cloud Architect cloud-computing deep-learning Security Information technology (IT) data-pipelines digital marketing Machine Learning Design Systems Cybersecurity Project management Content Marketing Opportunity management Scala Python Data Science Creativity R ado User Interface (UI) requirements-management modeling torch Graphic Designer SQL Process improvement Analytics TensorFlow Web Developer Performance review Risk analysis