Machine Learning Engineer I

Position:  Machine Learning Engineer  I 

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 (@techngs.com). If you receive any correspondence from an email other than techngs.com, 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. 

Opportunity Overview:  

Do you want to be an originator throughout the software development process and join a young, hungry, expanding business? Is learning a life-long 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 I, you will work with peers and mentors to learn and evolve as a coder, task master and leader. You will be exposed gain experience in emerging technologies including AI/ML, Cloud Platforms, and many more. Get fired up to join and remain fired up to perform!!  

Position Details    

Salary Range: $65,000-$80,000 a year. This is a full-time exempt position.  

The development work can be performed at various locations, including remotely or at the company offices in Utica and Rome, NY. For the right candidate, a 100% remote work arrangement is possible.  

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.     

Responsibilities and Duties  

The successful candidate will support our ATAK Machine Learning (ML) Product Line. The candidate will participate, contribute, and document throughout the Software Development Lifecycle, including:  

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems 
• Integrate 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 
• Develop, enhance, and maintain cloud, data, and software products to support the software platform   
• Design software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment   
• Contribute to all phases of the software development life cycle including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support  
• Participate in daily scrums, works with the scrum master on projects to support delivery timelines and priorities  
• Organize and prioritize 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 emerging technologies and industry trends to continuously improve skills and knowledge
• Excellent communication and teamwork abilities
• Ability to thrive in a fast-paced and dynamic environment

Education and Certifications:  

Graduation from an accredited college or university with a bachelor’s degree in computer science, 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.   

Required Qualifications:  

• University or professional experience in machine learning 
• Experience with machine learning frameworks like Tensorflow, Pytorch, etc. 
• Experience in evaluating, training, and deploying machine learning models 
• Experience in Python 
• Experience with Jupyter Notebooks 
• Knowledge of Graph Database(s) or Knowledge Graphs 
• Knowledge or experience in cloud-based computing platforms such as AWS 
• Knowledge or experience in containerization technologies and deployment frameworks like Kubernetes or Docker   
• Knowledge or experience in application frameworks (Node, Spring, React, React Native, Django, Bootstrap, etc.)  
• Knowledge or experience in either Linux or Microsoft Windows platforms  
• Knowledge or experience with Agile software development techniques   
• Knowledge or experience of Command Line environments
• Basic Experience in Android mobile application development

Preferred Qualifications:  

• Basic Experience in Go, Java, C++, and other languages 
• Experience in gathering and manipulating data for machine learning model training 
• Basic Experience in server-side development (API definitions, REST services, etc.)   
• Knowledge of Continuous Delivery/Continuous Integration (DevSecOps, GitLab Pipelines, etc.)   
• Knowledge or experience with Automated Testing (JUnit, Jest, Cypress, etc.)   
• Knowledge of Resource Description Framework (RDF) and/or ontologies 
• Knowledge or experience in Front End Development (JavaScript, React, Angular, etc.)   
• Familiarity with Triton Inference Server 

Clearance:  

Applicants selected will be subject to a security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information.   

Travel:  

This position is not expected to require travel. 

Benefits:  

Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match.   

Other perks include generous Paid Time Off (including a PTO “gift day” for your birthday), 11 Federal Holidays per year, two weeks paid maternity/paternity leave, and annual technology “allowances”.  

Wait! Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once certain requirements are met), and flexible daily start and stop times for most projects and positions.  

Company Description  

Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country.  The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park’s tenants and facilities, including the Air Force Research Lab (AFRL).  At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more.  

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.