Machine Learning Engineer III

Job Description

Position:
Machine Learning Engineer III

Beware of fraudulent job offers and postings!

Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address (). If you receive any correspondence from an email other than , it is a scam. Pre‑interview code testing is only administered through the Codility platform. We will not send out questionnaires or testing through any other platform/site prior to a first interview.

Do you want to be an originator throughout the software development process and join a young, hungry, expanding business? Is learning a lifelong pursuit for you? Traditional corporate culture (no sea of office cubicles here) not really your thing? Then this may be the place for you. Our software engineers work with teammates both native to the Mohawk Valley and across the country to deliver cutting‑edge products to our customers.

As a Machine Learning Engineer III, you will work with peers and mentors to learn and evolve as a coder, task master, and leader. You will gain experience in emerging technologies including AI/ML, Cloud Platforms, and many more.

Salary Range: $,000 a year. This is a full‑time exempt position.

The development work can be performed at various locations including remotely, at the company offices in Utica and Rome, NY, or the Air Force Research Lab (AFRL) in Rome, NY. A 100% remote work arrangement is possible for the right candidate.

Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968:
Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens.

• 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 cloud, data, and software products to support the software platform.
• Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by 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 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.

Graduation from an accredited college or university with a master's degree in computer science or related field and 6 years of professional experience is preferred; we will also consider candidates with a bachelor's degree and 8+ years of professional experience. A degree in computer programming, software engineering, or a closely related technical field is required for many of our projects. We will consider candidates with associate degrees or certificates in the areas listed above in combination with experience.

• Master's degree and minimum 6 years of professional experience in machine learning.
• Experience in Python and/or C++ is required.
• Experience with machine learning frameworks like…