Machine Learning Engineer

Key Responsibilities

• Design, prototype, and implement machine learning algorithms using industry-standard frameworks.
• Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms.
• Collaborate with other ML and software engineers to produce software/data deliverables.
• Participate in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.
• Generate content for status meetings with customers as a senior technical contributor.
• Research state-of-the-art methods to solve difficult and/or complex problems.

Requirements

• Bachelor’s degree or higher in Computer Science, Computer Engineering or a related field required.
• 5+ years of relevant work experience.
• Must possess a government security clearance or the ability to obtain and maintain.
• Experience in programming languages (Python, C/C++, MATLAB, etc.).
• Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.).
• Experience with Windows and/or Linux.
• Experience with some of the software tools such as Docker, Jenkins, Git, Gerrit, Hibernate, and Kubernetes is a plus.
• Familiarity with streaming data processing frameworks such as Kafka/Spark/Hadoop is a plus.
• Detail oriented and well-organized with a strong ability to prioritize, plan, and execute tasks.
• Highly skilled in written and verbal communications.
• Strong problem-solving skills and a willingness to be flexible and learn new concepts and technologies on the job.
• Ability to pivot quickly and seamlessly as projects and business needs dictate.
• Ability to work effectively and comfortably with multidisciplinary teams of engineers and support staff.
• Ability to perform independent research and evaluate the state-of-the-art.

Benefits

Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans.