AI/ML Engineer

$73,000 - $142,898/Yr

Infosys - Charlotte, NC

posted 2 months ago

Full-time - Mid Level
Charlotte, NC
Professional, Scientific, and Technical Services

About the position

Infosys is seeking an AI ML Engineer with a strong background in designing and deploying Machine Learning models using Python. The ideal candidate will work closely with clients to understand the issues they face, diagnose problems, design solutions, and facilitate solution deployment on Cloud Platforms. This role offers the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. The candidate will utilize their understanding of the problem to arrive at multiple solution alternatives, keeping in mind the various stakeholders, and assess the pros and cons of all alternatives to arrive at the optimal solution. The position requires a proactive approach to problem-solving and the ability to communicate effectively with cross-functional teams. The candidate will be expected to have a solid understanding of the model development life cycle, software engineering principles, and data engineering principles. Additionally, experience in the AIML area, particularly MLOps, is essential. The role may also involve extensive travel within the US, and candidates should be prepared for a day-one onsite position in either Charlotte, NC or Concord, CA. As part of the Infosys team, the AI ML Engineer will contribute to the company's mission of enabling clients to navigate their digital transformation. With over four decades of experience, Infosys expertly steers clients through their digital journey by enabling enterprises with an AI-powered core that prioritizes the execution of change. The company fosters an environment of continuous improvement through building and transferring digital skills, expertise, and ideas from its innovation ecosystem.

Responsibilities

  • Design and deploy Machine Learning models using Python.
  • Work with clients to understand their issues and diagnose problems.
  • Design solutions and facilitate deployment on Cloud Platforms.
  • Connect various functions of cloud components to create value-adding consulting solutions.
  • Assess multiple solution alternatives considering various stakeholders.
  • Communicate effectively with cross-functional teams and stakeholders.

Requirements

  • Bachelor's degree or foreign equivalent required from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience in Information Technology.
  • At least 3 years of experience in developing programs/APIs using Python/Pyspark.
  • At least 3 years of experience in Cloud platforms (e.g., GCP, Azure) and their AI services.
  • At least 2 years of experience in Model development life cycle, software engineering principles, and data engineering principles.
  • At least 2 years of experience in AIML area (MLOps).

Nice-to-haves

  • Experience in LLM, Generative AI (developing capabilities or Dev/Ops).
  • Experience in developing APIs on GCP/Azure/API Gateways.
  • Experience in Vector Database, Model Development would be an added benefit.
  • Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
  • Domain experience in Banking, Finance, Capital Markets.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
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