Data Engineer-AI,ML

6 Months ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

Data Engineer-AI/ML role focusing on generative AI models like ChatGPT, using Python on Azure or AWS platforms. Requires 5+ years of experience in data science, with proficiency in Python and Azure/AWS cloud services.
Must have:
  • Generative AI Models
  • Python on Azure/AWS
  • Data Science Experience
  • Machine Learning
Good to have:
  • TensorFlow or PyTorch
  • Big Data Technologies
  • .Net Programming
  • Azure Cognitive Services

Job Details

About the job

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.

Responsibilities;

  • Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
  • Engage in cutting-edge research and development to enhance the performance and efficiency of generative AI models.
  • Design and maintain machine learning pipelines for training and deploying models, leveraging Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.
  • Collaborate with cross-functional teams to integrate AI capabilities into a wide range of applications, emphasizing Python or .Net development in Azure or AWS
  • Stay updated with the latest trends and advancements in AI, machine learning, Azure technologies, and Python programming.
  • Analyze complex datasets, employing Azure’s data processing and analytics capabilities to refine model accuracy and effectiveness.
  • Implement strategies for large-scale data processing and model training in the Azure cloud, using ,Net or Python or AWS as the primary programming language.
  • Mentor junior team members in AI, machine learning, Python on Azure or AWS Platform or .Net on Azure platform


Competencies;

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • At least 5 years of experience in data science, with a specific focus on AI and machine learning.
  • Demonstrated experience in building and deploying generative AI models, like ChatGPT.
  • Proficient in .Net or Python programming, with a strong background in using Python for machine learning and AI development.
  • Extensive experience with AWS or Azure cloud services.
  • Solid understanding of generative AI principles, natural language processing, and machine learning frameworks like TensorFlow or PyTorch.
  • Experience in handling large datasets and familiarity with big data technologies.
  • Exceptional analytical and problem-solving skills.
  • Strong communication skills and the ability to lead initiatives


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; and
  • How 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.

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