PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Leads the design, development, and deployment of machine learning models and algorithms to solve complex business problems
- Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications
- Develop and maintain data pipelines for collecting, preprocessing, and transforming data for machine learning tasks
- Develops, enhances, and maintains data and software to support our software products
- Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by the product owner and other stakeholders in a production environment
- Leads, coaches, and mentors junior data scientists, engineers, and other staff
- Contributes to phases of the software development life cycle, including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support
- Participates in daily scrums, works with the scrum master on projects to support delivery timelines and priorities
- Organizes and prioritizes team workload with the scrum team through story-pointing
- Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions
- Perform unit testing and debugging to identify and fix software defects
- Contribute to code reviews and provide constructive feedback to peers
- Stay updated on novel AI/ML approaches, frameworks, and industry trends to continuously improve skills and knowledge
- Contribute to or lead proposal writing for new opportunities with government R&D organizations and/or commercial companies
- Apply your technical expertise to become an AI subject matter expert for small teams of researchers and engineers on advanced R&D projects funded by government and/or commercial customers
Requirements
- Three years of professional experience in machine learning
- Experience in Python and/or C++ is required
- Experience with machine learning frameworks like TensorFlow, Pytorch, etc.
- Experience in evaluating, training, and deploying machine learning models
- Experience with Jupyter Notebooks
- Experience in server-side development (API definitions, REST services, etc.)
- Experience in containerization technologies and deployment frameworks like Kubernetes or Docker
- Experience in either Linux or Microsoft Windows platforms
- Experience with Automated Testing (JUnit, Jest, Cypress, etc.)
- Experience with Agile software development techniques and leading one or more tasks to completion
- Experience with Command Line environments
- Experience with Continuous Delivery/Continuous Integration (DevSecOps, GitLab Pipelines, etc.)
- Excellent communication and teamwork
- Leadership in technical tasks and/or technical teams
- Graduation from an accredited college or university with a Master’s degree in a computer science, computer engineering, artificial intelligence, machine learning, or closely related discipline (minimum)
- PhD in a related discipline is strongly preferred
- Must be located, or relocate, to within a commutable distance of the Utica/Rome area
- Only U.S. citizens are eligible to apply (clearance required)
- Applicants will be subject to a security investigation and must meet eligibility for, at minimum, Top Secret access to classified information
- Willingness to travel approximately 5%-10% to customer and client sites outside of the Utica-Rome, NY area
Benefits
- health, life, disability, dental, and vision insurance coverage
- 401(k) policy with a 3% company contribution & 3% company match
- Generous Paid Time Off (including a PTO “gift day” for your birthday)
- 11 Federal Holidays per year
- three weeks paid maternity/paternity leave
- annual technology “allowances”
- referral bonuses
- professional recognition awards
- healthcare stipends
- tuition/education reimbursement (once specific requirements are met)
- flexible daily start and stop times for most projects and positions
- relocation signing bonus is a possibility
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