Junior AI / Machine Learning Specialist

What You Will Do:

This position supports performing the full systems and software architecture and lifecycle for DevSecOps and full stack engineering tasks using Agile methodologies. As an AI / ML Specialist you will be responsible to design, implement, and maintain data architecture and services to be used for AI/ML. Candidate must be team-oriented, self-starting, innovation-minded Artificial Intelligence to individually and collectively contribute to the design and development of cutting-edge AI and Analytics solutions.

Job Duties:

  • Work as part of a team throughout the software development life cycle
  • Develop AI, ML, and Analytics (Descriptive, Prescriptive, and Predictive) solutions in Cloud-based As-a-Service delivery model
  • Evolve current best practices and adopt cutting edge best practices for IT delivery as needed
  • Apply state-of-the-art AI and Machine Learning principles and technologies to solve business problems
  • Lead / Support the team in definition and development of full-scale AI, ML, and Analytics initiatives
  • Collaborate with Subject Matter Experts (SME), Designers, Engineers and Analysts to implement enhancements or new applications
  • Leverage behavior driven development (BDD) and test-driven development (TDD) approaches
  • Adopt various Agile process including but not limited to: SCRUM, Kanban, and Lean Software Development, and conform processes to these approaches
  • Participate on a team of full stack engineers and automation testers
  • Share best practices and improve processes within and across sprint teams, and mentor more junior developers

Required Skills

  • Shall have a minimum of five (3) years of experience in the Information Technology field focusing on AI/ML development projects, DevSecOps and technical architecture specifically.
  • Shall have experience with architecture & design experience, including at least three (3) years of experience deploying production enterprise applications in AWS that use AI/ML.
  • Shall have experience with large scale, high performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS.
  • Shall have, at a minimum, a Bachelor’s degree in Computer Science, Information Technology Management or Engineering.
  • Experience leveraging AI / ML tools such as TensorFlow, Apache MXNet, SciKit-Learn, Keras, OpenCV
  • Proven knowledge of Relational Database Management Systems (RDBMS) and NoSQL databases
  • Proven experience in leveraging Software Engineering best-practices—test-driven development, software patterns, conventions, code reviews, preferred coding styles, and delivery standards
  • Proven experience in developing AI/ML and Analytics solutions under Agile methodologies and DevSecOps Continuous Integration/Delivery (CI/D)
  • Hands-on proven experience in designing, implementing, and maintaining data architecture and services to be used for AI/ML in cloud preferably AWS
  • Proven experience in performing data analytics on program related or system related activities.
  • Demonstrated experience in agile methodology and frameworks such as Scrum, Kanban, XP, etc
  • Strong logical reasoning and problem-solving skills, including ability to pivot and respond to and integrate information from various sources
  • Experience in Test Driven and Behavior Driven Development frameworks
  • Possess strong written and oral communication skills along with the ability to interact professional with a diverse range of team members
  • Must be detail oriented and have strong organizational skills
  • Solid understanding of CI/CD pipeline
  • Experience in Confluence, JIRA, and React Storybooks
  • Proven ability to work across multiple functional teams in the creation of an application development process

Years of Experience: 3 years
Minimum Education Required: Bachelor’s Degree
Must Be Eligible to Obtain Government Clearance
US Citizenship Required

Job Type: Full-time

Salary: $100,000.00 to $110,000.00 /year

Experience:

  • Machine Learning: 3 years (Preferred)

Education:

  • Bachelor's (Preferred)

License:

  • US Citizenship (Required)

Additional Compensation:

  • Bonuses

Work Location:

  • One location
  • Multiple locations

Benefits:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Retirement plan
  • Paid time off
  • Flexible schedule
  • Professional development assistance

Pay Frequency:

  • Bi weekly or Twice monthly

This Job Is Ideal for Someone Who Is:

  • People-oriented -- enjoys interacting with people and working on group projects
  • High stress tolerance -- thrives in a high-pressure environment
  • Adaptable/flexible -- enjoys doing work that requires frequent shifts in direction

This Company Describes Its Culture as:

  • Aggressive -- competitive and growth-oriented
  • Team-oriented -- cooperative and collaborative
  • Innovative -- innovative and risk-taking

This Job Is:

  • A job for which military experienced candidates are encouraged to apply

Schedule:

  • Monday to Friday