Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, and have at least 3 years of experience in machine learning research, with a focus on natural language processing or information extraction. Strong programming skills in Python are essential, along with experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with knowledge graphs and experience with named entity recognition (NER), topic modeling, and recommendation systems are also required.
The Machine Learning Research Engineer II will design and deploy advanced AI capabilities, specifically focusing on building intelligent systems that transform unstructured and structured data into actionable knowledge via a knowledge graph. They will develop and integrate NER, topic modeling, correlation algorithms, and recommendation systems to link extracted insights across domains, supporting decision support, analytics, and automation. The role involves collaborating with a team of full-stack developers to build and maintain these systems, and contributing to the overall research and development efforts within the team.
Technology services in software and cybersecurity
Technergetics provides technology services with a focus on software development, cybersecurity, and mobile app development. Their team of experienced engineers designs and implements solutions tailored to the needs of research and development institutions and small businesses. They specialize in areas such as enterprise software architecture, information assurance, and cybersecurity analysis. What sets Technergetics apart from competitors is their strong emphasis on employee culture and community support, as they actively work to foster high-tech businesses and entrepreneurs in central New York. The goal of Technergetics is to deliver exceptional technical services while contributing to the growth of the local tech ecosystem.