AI Engineer

Triunity Software
Washington, DC, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $110,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computing Platforms Computer Vision Microsoft Azure Cloud Computing Data Structures Python (Programming Language) Machine Learning Natural Language Processing Tensorflow
+9 more
Software Engineering Pytorch Large Language Models Prompt Engineering Generative AI Scikit Learn Information Technology Data Management Machine Learning Operations

Job description

Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in DC, WA. This is an exciting opportunity to work at the cutting edge of artificial intelligence and software development, building innovative solutions that make a real impact. If you thrive in a fast-paced tech environment and love turning complex problems into intelligent systems, we want to hear from you!, * Design, develop, and deploy machine learning and AI models into production environments

  • Collaborate with cross-functional teams to identify AI-driven solutions for business challenges
  • Build and maintain data pipelines to support model training, evaluation, and inference
  • Research and implement state-of-the-art NLP, computer vision, or generative AI techniques
  • Monitor, evaluate, and continuously improve model performance and accuracy
  • Develop APIs and integrations to embed AI capabilities into existing software platforms
  • Document technical processes, architectures, and model methodologies

Requirements

Artificial Intelligence (AI), Health Insurance, Training/Teaching, Software Development, Artificial Intelligence (AI), Machine Learning, Production Systems, Cross-Functional, Data Management, Natural Language Processing (NLP), * Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

  • Proven experience building and deploying ML/AI models in production
  • Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with LLMs, generative AI, or prompt engineering is a strong plus
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Excellent problem-solving skills and ability to communicate complex concepts clearly

Benefits & conditions

  • Bonus based on performance
  • Health insurance
  • Training & development, Compensation: $100,000.00 - $110,000.00 per year

About the company

Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms.

Lead by experts in the IT industry with a proven record of delivering software solutions, consulting, and staffing services, we have expertise in fulfilling client needs in terms of customized business solutions as well as IT consulting. At Triunity, we always try to bring the right mix of skills, technologies, and experts together which helps our clients to stay ahead in the competition. Our goal is to make our clients empower with cutting-edge technologies and take care of all their IT needs so they can focus more on their core business., At Triunity people are motivated by the complexity and challenges they face when working on client projects . We always motivate our people to keep learning new technologies and also give them platform where they can get chance to show their technical and analytical skills . We help our people in adding latest technologies ,tools, methodologies and certifications to their resume by arranging trainings , seminars and knowledge sharing sessions.

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