Machine Learning Engineer

Description

We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development and will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. As a mid-level professional, the Machine Learning Engineer will apply advanced knowledge while working independently with limited supervision and providing technical guidance to lower-level professionals.

 If you are passionate about machine learning and eager to make an impact, we encourage you to apply!

Requirements

ESSENTIAL JOB DUTIES & RESPONSIBILITIES

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• 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 product software/data deliverables. This may include algorithm/software design documents and end user guides as well as government systems integration.
• Participates in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.
• May be a major contributor in determining solution concepts for project proposals.
• 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.
• Provide subject matter guidance to peers within the business area and company.
• Responsibly and respectfully interacts with customers and suppliers to ensure customer satisfaction and project alignment. 
• Generate novel solutions and lead content creation; identify new ML use cases to develop the business area.
• Drives research and development efforts of projects and ensures that they meet the technical objectives of the customer. 

OTHER DUTIES

May be required to perform other duties as assigned by management, which are reasonably within the scope of the position.

REQUIRED SKILLS AND ABILITIES

• Must possess and maintain a Security Clearance or the ability to obtain.
• 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 a distributed environment.
• Ability to perform independent research and evaluate the state-of-the- art. 

EDUCATION/TRAINING/EXPERIENCE

• Bachelor’s degree or higher in computer science, computer engineering, or related discipline required.
• Relevant work experience required: BS, 5+ years OR MS, 3+ years.
• Experience with programming languages (Python, C/C++, MATLAB, etc.)
• Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.)
• 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.
• Experience with Windows and/or Linux.
• Proven record of technical leadership in job area.

WORK ENVIRONMENT

Work is performed in an office environment, setting at a desk in an office or meeting room.

PHYSICAL REQUIREMENTS

• Work requires regular and long periods of sitting at a desk and working on a computer.
• Operates standard office equipment and keyboard.
• Occasionally carrying packages, laptop, and other small items- up to 15 pounds.
• Walk short distances throughout the building.

TRAVEL

Occasional travel may be required.

EEO Statement

It is the policy of Vadum to provide for an promote equal employment opportunity in employment compensation and other terms and conditions of employment without discrimination based on age, race, creed, color, national origin, gender, sexual orientation, disability, marital status, Vietnam Era Veteran status, genetic predisposition, or carrier status. Vadum is committed to assuring equal employment opportunity and equal access to services, programs, and activities for individuals with disabilities. It is the policy of Vadum to provide reasonable accommodation to a qualified individual with a disability to enable such individual to perform the essential functions of the position for which he/she is applying in which he/she is employed. Further, it is the policy of Vadum to provide reasonable accommodation for religious observers.

The policy applies to all employment practices and actions. It includes, but is not limited to, recruitment, job application process, examination and testing, hiring, training, disciplinary actions, rate of pay or other compensation, advancement, classification, transfer, reassignment and promotions.