Orion Innovation
Generative AI Engineer
Orion Innovation, Denver, Colorado, United States, 80285
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Generative AI Engineer
Responsibilities:
Integration and Collaboration: Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Document and present complex findings and learnings in a clear and concise manner to a non-technical audience.Research and Innovation: Stay up-to-date on the latest advancements in generative AI technologies and methodologies such as Retrieval Augmented Generation (RAG), Vector Databases, frameworks such as langchain, etc.Algorithm Development: Design and develop algorithms for generative models using deep learning techniques, Natural Language Processing (NLP), Retrieval Augmented Generation (RAG) etc.Model Architecture Design: Create and fine-tune generative neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.Data Management: Clean, label, and augment data for training and improving AI models.AI Alignment and Testing: Perform rigorous testing and validation of generative AI models to ensure their robustness and reliability. Address ethical considerations related to generative AI, such as bias, fairness, and transparency.Skills:
At least 5 years of experience in backend development and machine learning.
Technical Skills:
Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch).Proven experience in developing and implementing generative AI models, with a strong understanding of machine learning algorithms.Solid understanding data pre-processing techniques.Knowledge of cloud computing and AI deployment (Azure, AWS, Google Cloud) is a plus.Education:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) ("Notice") explains:
What information we collect during our application and recruitment process and why we collect it;How we handle that information; andHow to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Generative AI Engineer
Responsibilities:
Integration and Collaboration: Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Document and present complex findings and learnings in a clear and concise manner to a non-technical audience.Research and Innovation: Stay up-to-date on the latest advancements in generative AI technologies and methodologies such as Retrieval Augmented Generation (RAG), Vector Databases, frameworks such as langchain, etc.Algorithm Development: Design and develop algorithms for generative models using deep learning techniques, Natural Language Processing (NLP), Retrieval Augmented Generation (RAG) etc.Model Architecture Design: Create and fine-tune generative neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.Data Management: Clean, label, and augment data for training and improving AI models.AI Alignment and Testing: Perform rigorous testing and validation of generative AI models to ensure their robustness and reliability. Address ethical considerations related to generative AI, such as bias, fairness, and transparency.Skills:
At least 5 years of experience in backend development and machine learning.
Technical Skills:
Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch).Proven experience in developing and implementing generative AI models, with a strong understanding of machine learning algorithms.Solid understanding data pre-processing techniques.Knowledge of cloud computing and AI deployment (Azure, AWS, Google Cloud) is a plus.Education:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) ("Notice") explains:
What information we collect during our application and recruitment process and why we collect it;How we handle that information; andHow to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.