Infosys-posted about 1 year ago
Full-time • Mid Level
Denton, TX
Professional, Scientific, and Technical Services

The AI/ML Engineer position at Infosys involves leading the design and deployment of AI-driven solutions, particularly in the retail and marketing domains. The role requires a strong background in Generative AI, Machine Learning, and Python Development, with a focus on developing and implementing AI models to enhance marketing strategies. The candidate will work closely with clients to provide innovative solutions and will lead a team while facilitating communication between onsite and offshore teams.

  • Lead the design and deployment of AI-driven solutions utilizing cutting-edge AI technologies.
  • Develop and implement AI models and algorithms for marketing strategies.
  • Collaborate with data engineers, data analysts, and business stakeholders to understand data quality needs.
  • Act as a trusted advisor to clients, recommending innovative AI solutions.
  • Build and maintain machine learning models to automate data processes and improve data discoverability.
  • Enable and enforce on-time and quality deliverables for clients.
  • Debug and troubleshoot Python-related queries as needed.
  • Bachelor's degree or foreign equivalent required from an accredited institution.
  • At least 7 years of experience in Information Technology.
  • At least 4 years of experience in developing programs/APIs using Python/Pyspark.
  • Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.
  • Consulting experience in Marketing Analytics, Attribution & Optimization.
  • Experience in developing and implementing algorithms for data cleaning and enrichment processes.
  • Ability to write clean and reusable code that can be easily maintained and scaled.
  • Experience in Data discovery, Data collection and Processing, Data transformation, and Business insights generation.
  • Deep understanding of Marketing analytics solutions and analytic approaches.
  • Excellent problem-solving skills and ability to address complex technical challenges.
  • Effective communication skills to collaborate with cross-functional teams and stakeholders.
  • Equal employment opportunities without regard to race, color, sex, gender identity, sexual orientation, religious practices, national origin, pregnancy, disability, or veteran status.
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