Senior Associate Consultant (Data Science / AI / ML)



Software Engineering, Data Science
Phoenix, AZ, USA · Richardson, TX, USA · United States
Posted on Tuesday, July 9, 2024

Job details



State / Region / Province

Arizona, Texas

Work Location

Phoenix, AZ, Richardson, TX



Interest Group

Infosys Limited


Technology|Data Science|Machine Learning



Requisition ID


Job description

Infosys is seeking a Senior Associate Consultant with Data science (AI, ML) experience. As a Senior Associate Consultant - Data science , the key responsibilities will be:

  • A problem-solving mindset with the ability to understand business challenges and how to apply AI expertise to solve them.
  • Innovative and creative in data analysis, problem solving and presentation of solutions.
  • Collaborate with engineering team to bring analytical prototypes to production.
  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing.
  • Design accurate and scalable AI solutions.
  • Use-case derivation and solution creation from structured/unstructured data.
  • Storytelling, Business & stakeholder communication and Documentation.

Required Qualifications:
  • Candidate must be located within commuting distance of Phoenix , AZ or Richardson, TX or be willing to relocate to the area. This position may require travel in the US.
  • 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.
  • Minimum 2 years’ experience in IT industry.
  • Minimum 1 years’ experience in Data science with AI, ML.
  • A strong understanding of data analytics best practices, standards, and guidelines; and an experience with applying the same to produce high visibility AI solutions / products.
  • Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms.
  • Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib.
  • Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms.
  • Hypothesis definition, Model building, Hyperparameter tuning and Model performance metrics.
  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this point of time.

Preferred Qualifications:
  • Statistics Knowledge (Probability Distributions, Hypothesis Testing).
  • Platform exposure with one of the key AI Services Cloud providers with working knowledge of ML Services, AI Platforms, MLOps, AIOps.
  • Understanding of planning, design, management, execution, and reporting of the core components for AI/Cognitive solution.
  • Experience in software design, development, and maintenance of custom application software.
  • Ability to support both the development of new business opportunities and the delivery of analytics platform services to clients.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.