Technergetics

👥 11-50ComputerSoftware💼 Private Company
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Technergetics is a technology services company specializing in software development and cybersecurity, delivering cutting-edge solutions to clients nationwide. We're a growing force in the industry, focusing on impactful projects involving AI/ML, cloud platforms (Google Cloud), and advanced data analytics. Our team combines experienced professionals with up-and-coming talent, fostering a collaborative environment where learning and innovation are highly valued. We utilize a modern tech stack including Python, C++, TensorFlow, PyTorch, and various cloud and containerization technologies (Kubernetes, Docker). We're committed to a flexible work environment, offering remote work options and a strong emphasis on work-life balance. Technergetics distinguishes itself through a unique blend of expertise and agility. We're not your typical corporate environment—we value open communication, mentorship, and a dynamic approach to problem-solving. Our projects often involve collaboration with government organizations (e.g., the Air Force Research Lab), presenting unique challenges and growth opportunities for our team members. We offer competitive salaries and a robust benefits package, including comprehensive health insurance, paid time off, and professional development opportunities. Our engineering culture prioritizes collaboration, continuous learning, and delivering high-quality solutions. We leverage agile methodologies to ensure efficient development and rapid iteration. We believe in providing opportunities for both individual and team growth, empowering our engineers to take ownership and contribute their unique expertise. Our teams are involved in all phases of the software development lifecycle, from initial conception to deployment and maintenance. Founded in 2013 and based in Utica, NY, Technergetics is experiencing significant growth, with a team currently numbering between 11 and 50 employees. We are actively seeking talented individuals to join our expanding team and contribute to our ongoing success. Our commitment to cutting-edge technologies, a supportive work environment, and opportunities for career advancement makes Technergetics an exciting place to build your career.

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📍 United States

🔍 Cyber technology research

  • Ph.D. in physics, computer science, mathematics or related field with specialization in quantum information science.
  • Experience in classical machine learning, quantum machine learning, computational physics or related field.
  • Experience using quantum simulation tools such as PyTorch Quantum, Qiskit, Pennylane, Cirq.
  • Expertise in Information Science, Quantum Computing, and Computational Numerical Methods.
  • Clear communication skills to convey complex concepts in verbal and written platforms.

  • Perform research and development of quantum algorithms to advance state-of-the art quantum networking and computing.
  • Implement and evaluate quantum algorithms on quantum computers and quantum simulators.
  • Advance quantum algorithms through the development of novel solutions on NISQ-era quantum computers and hybrid quantum-classical systems.
  • Develop quantum algorithms to perform computationally hard tasks including optimization and classification.
Posted 16 days ago
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🔥 Principal AI Research Scientist
Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Artificial Intelligence and Machine Learning

  • Graduation from an accredited college or university with a PhD in computer science, machine learning, software engineering, or a closely related field.
  • 5+ years of professional experience in machine learning, including academic experience.
  • Experience writing grants or competitive proposals for funding.
  • Knowledge of business development.
  • Proven entrepreneurial mindset and passion for learning emerging ML technology.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Ability to lead, coach, and mentor junior data scientists and engineers.
  • Experience with advanced data analytics and statistical models.
  • Practical applications of machine learning techniques such as Clustering, Logistic Regression, Random Forests, SVM, or Neural Networks.
  • Experience with machine learning frameworks like Tensorflow, Pytorch.
  • Experience in evaluating, training, and deploying machine learning models.
  • Experience in Python and Jupyter Notebooks.
  • Knowledge of Graph Database(s) or Knowledge Graphs.
  • Knowledge of cloud-based platforms such as AWS.
  • Experience with Agile software development techniques.

  • Conduct creative and inquisitive research and competitive analysis to identify new opportunities in Machine Learning and Data Science.
  • Lead proposal writing for new opportunities with government R&D organizations and commercial companies.
  • Champion AI/ML initiatives to technical and non-technical partners.
  • Serve as the AI subject matter expert for teams on advanced R&D projects.
  • Develop and evaluate algorithms to understand multi-modal data.
  • Provide vision across the portfolio and ensure roadmap relevance.
  • Work closely with customers to incorporate feedback into products.
  • Collaborate with renowned academic and industry researchers.

AWSProject ManagementPythonSoftware DevelopmentAgileArtificial IntelligenceBusiness DevelopmentMachine LearningPyTorchStrategyAlgorithmsData scienceGoTensorflow

Posted about 2 months ago
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🔥 Machine Learning Engineer III
Posted about 2 months ago

📍 Utica, NY, Rome, NY, Air Force Research Lab, Rome, NY

🧭 Full-Time

💸 110000 - 150000 USD per year

🔍 Cyber technology, machine learning, and artificial intelligence

  • Master’s degree and minimum 6 years of professional experience in machine learning.
  • Experience in Python and/or C++.
  • Experience with machine learning frameworks like TensorFlow, PyTorch.
  • Experience in evaluating, training, and deploying machine learning models.
  • Experience with Jupyter Notebooks.
  • Experience in cloud-based computing platforms like AWS.
  • Experience in server-side development (API definitions, REST services).
  • Experience in containerization technologies and deployment frameworks like Kubernetes or Docker.
  • Experience in application frameworks (Node, Spring, React, etc.).
  • Experience in either Linux or Microsoft Windows platforms.
  • Experience with Automated Testing (JUnit, Jest, Cypress).
  • Experience with Agile software development techniques.

  • 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.
  • Develops and maintains data pipelines for collecting, preprocessing, and transforming data for machine learning tasks.
  • Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality.
  • Leads, coaches, and mentors junior data scientists, engineers, and other staff.
  • Contributes to phases of the software development life cycle.
  • Participates in daily scrums and collaborates with cross-functional teams.

AWSDockerPythonSoftware DevelopmentAgileArtificial IntelligenceCypressDjangoJestJUNITKubernetesMachine LearningPyTorchSCRUMC++GoTensorflowLinux

Posted about 2 months ago
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