AI / ML Engineer

Cognizant Technology Solutions-posted 10 months ago
$125,000 - $135,000/Yr
Full-time • Mid Level
Atlanta, GA
Professional, Scientific, and Technical Services
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Cognizant is seeking an AI / ML Engineer to lead the technical aspects of projects focused on Claim Automation. This role involves overseeing the planning, execution, and delivery of advanced AI solutions that streamline and automate the claims process. The engineer will work closely with cross-functional teams and clients to develop scalable and efficient architectures, ensuring projects are completed on time, within scope, and within budget.

  • Lead the design and development of machine learning models and algorithms for claim automation.
  • Oversee the implementation and optimization of deep learning and neural network architectures.
  • Utilize Generative AI and Large Language Models (LLMs) for automating claim processing.
  • Apply Natural Language Processing (NLP) techniques to enhance claim automation solutions.
  • Architect and deploy solutions on AWS Cloud using services like Sagemaker, S3, Lambda, and Cloudwatch.
  • Develop and maintain serverless architectures for claim automation.
  • Work with Knowledge Graphs and SPARQL, specifically using AWS Neptune, to manage claim data.
  • Design and manage relational databases using RDS and PostgreSQL.
  • Write efficient and maintainable code in Python.
  • Utilize GitHub for version control and collaboration.
  • Develop and maintain scripts for automation and data processing.
  • Ensure the security and scalability of claim automation solutions.
  • Collaborate with data scientists, engineers, and other stakeholders to deliver high-quality solutions.
  • Provide technical leadership and mentorship to team members.
  • Oversee the planning, execution, and delivery of claim automation projects.
  • Manage project timelines, budgets, and resources.
  • Communicate project status and updates to stakeholders.
  • Proven experience in Machine Learning, Deep Learning, and Neural Networks.
  • Expertise in Generative AI and Large Language Models (LLMs).
  • Strong knowledge of Natural Language Processing (NLP).
  • Proficiency in AWS Cloud services, including Sagemaker, S3, Lambda, and Cloudwatch.
  • Experience with serverless architecture and AWS Neptune for Knowledge Graphs and SPARQL.
  • Strong understanding of relational databases, specifically RDS and PostgreSQL.
  • Proficiency in Python programming and scripting.
  • Experience with GitHub for version control.
  • Strong Linux skills.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Proven leadership and mentorship abilities.
  • Proven experience in project management, specifically in AI and machine learning projects.
  • Proven ability to manage project timelines, budgets, and resources.
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
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