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Job Description Artificial Intelligence Disclaimer: We will be using our Artificial Intelligence app, "Alex Taylor" to conduct the first-round interviews for this position, which should take you approximately 35 minutes to complete. You will receive an email invitation from "Alex" within ten business days of your application should we want to hold a first round interview with you. "Alex" is available to schedule first round interviews 24/7 and allows us to conduct a much greater number of first round interviews than our human staff's (my) availability would allow. All first-round interviews are reviewed by Technergetics HR, and additional staff as applicable. AI is a tool to assist in the decision-making process and all decisions of which candidates to invite for a first or second interview remain with our human staff. Candidates who are chosen for second round interviews will meet with the HR director and hiring manager. Any data collected during the interview process, including AI-generated insights, will be handled with utmost care and confidentiality. We will comply with all applicable data protection laws and regulations. Your responses will be processed by an AI system to provide feedback on your skills and knowledge only. We want to assure you that this data will be stored securely and will not be shared with any third parties without your consent. We understand the hesitancy of some to interview with an AI app (it is by no means perfect at this time), but with Technergetics being a company dedicated to research and development in many technological fields, including AI/ML, we feel this is a great opportunity to practice what we preach. Opportunity Overview: Technergetics is looking for a Machine Learning Engineer III to design, develop, and deploy advanced AI capabilities alongside a high-performing team of full stack developers. This role also focuses on the deployment of machine learning models and algorithms to solve complex business problems. Position Details Salary Range: $100,000-$150,000 annually. The successful candidate's salary will heavily depend on how many position qualifications the candidate meets, in addition to education and experience. This is a full-time exempt position. Location/Travel/Remote Performance Options: This is a hybrid position with approximately 40% onsite performance and 60% remote performance, with some flexibility. The successful candidate must be located, or relocate, to within a commutable distance of the Utica/Rome area for access to company and AFRL (Air Force Research Lab) facilities, secure data, and customers. A relocation signing bonus is a possibility for this position. This position is expected to have between 5%-10% travel to customer and client sites outside of the Utica-Rome, NY area. 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 work in one or more of our Machine Learning (ML) Software products, which includes the following day-to-day activities: • 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 for projects within the scope of your expertise. This project requires, at minimum, 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. A PhD in a computer science, computer engineering, artificial intelligence, machine learning, or closely related discipline is strongly preferred. Qualifications: • 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 in server-side development (API definitions, REST services, etc.), • 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, • Experience developing modern full stack web applications, with full stack frameworks (Node, Spring, React, React Native, Django, Bootstrap, etc.), • Basic experience with Go, Java, or other languages, • Familiarity with Triton Inference Server, • Knowledge of Resource Description Framework (RDF) and/or ontologies, • Knowledge of Graph Database(s) or Knowledge Graphs Applicants selected will be subject to a security investigation and must meet and maintain eligibility requirements for, at minimum, Top Secret access to classified information. 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, three weeks paid maternity/paternity leave, and annual technology "allowances". Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once specific 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 through out 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. 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 do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.