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AI/ML Engineer

AT Infosys
Infosys

AI/ML Engineer

Denton, TX

Infosys is seeking qualified and experienced data science professional with expertise in Generative AI, Machine Learning (ML), and Python Development, with a strong focus on the retail and marketing domains. Candidates should have a strong background in developing AI models and deploying them using python. The ideal candidate will lead the design and deployment of AI-driven solutions, utilizing cutting-edge AI technologies to enhance and optimize marketing strategies. This role blends strategic leadership with advanced technical expertise to drive transformative business results. A solid understanding of FMCG, CPG, and their services is essential. You will have the chance to develop value-adding consulting solutions for clients by integrating various cloud components. Additionally, you will lead the team from onsite and facilitate seamless communication between offshore and onsite teams.

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Required Qualifications:
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • All applicants authorized to work in the United States are encouraged to apply.
  • Candidate must live within commuting distance of Denton, TX or be willing to relocate. Travel within the US may be required.
  • 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 to MMM clients, and guide teams working on these businesses to grow their abilities in providing the same
  • Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes
  • Build and maintain machine learning models to automate data process updates and improve data discoverability
  • Ability to write clean and reusable code that can be easily maintained and scaled
  • Collaborate with data engineers, data analysts, and business stakeholders to understand data quality needs and translate them into actionable data science solutions
  • Act as a trusted advisor to clients, recommending innovative AI solutions to address their unique business challenges.
Preferred Qualifications:
  • Experience in Data discovery, Data collection and Processing, Data transformation, Machine learning models and Business insights generation
  • Enable and enforce on-time and quality deliverables for clients. Work closely with Data & Modeling teams in delivering top notch and on-time marketing analytics insights
  • Debugging codes when required and troubleshooting any Python-related queries.
  • 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.
  • High Impact client communication and Project Management
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

Client-provided location(s): Denton, TX, USA
Job ID: Infosys-126910BR
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • HSA
    • Short-Term Disability
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • On-site/Nearby Childcare
  • Office Life and Perks

    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
  • Professional Development

    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)