Machine Learning Engineer (Security)

Hi All,

please check the JD

Position: Machine Learning Engineer (Security)

Location: Remote

Duration: Long Term 

Client : NFCU

Job Description: 

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 risk-informed 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.

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

Required Qualifications: 

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

Thanks & Regards,

 Shyam

Emali : skumar@reddaiah.com

Direct : 585  505 5543

Reddaiah IT Services Inc.

919 Winton Rd, Suite  303 ,265 Brighton, NY 14618

If I missed your call, please drop me an E-mail