Data Scientist (Richardson)

Job Description :

Infosys Limited is seeking an AI Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications :

• Bachelors 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.
• Candidate must be located within commuting distance of Richardson, TX or Raleigh, NC or Hartford, CT or Tempe, AZ or Indianapolis, IN or be willing to relocate to the area.
• At least 4 years of experience in Information Technology
• At least 2 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data.
• At least 2 years of experience in Machine learning engineering / MLE, data science and data engineering with a proven track record of delivering impactful solutions
• Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments (OCI)
• Performance Tuning for AI / ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI / ML and Generative AI models to maximize accuracy, efficiency, and resource utilization
• AI Full stack : Experience in in any full stack / development experience in Python or Java, or .Net or React, Node.js, Flask / Django, REST APIs, Terraform automation
• Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, NLP
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Preferred Qualifications :

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.

EEO / About Us : 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.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse / family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse / family member of a protected veteran; or disability.