What are the responsibilities and job description for the Data Scientist position at Infosys?
Infosys is seeking a Senior Data Scientist with strong background in designing and deploying machine learning models using MLOPS framework. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Azure ML. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.
Required Qualifications:
Preferred Qualifications:
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.
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.
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.
- At least 7 years of experience in Information Technology
- All applicants authorized to work in the United States are encouraged to apply.
- Candidate can live anywhere in the United States. Preferred commuting distance of Richardson, TX or Bentonville, AR. Travel within the US may be required.
- At least 4 years of experience in Information Technology in Data Science, Analytics and Machine Learning.
- At least 4 years of experience Python Programming for ML Model deployment with Clean code standards
- At least 4 years of experience in AZURE or GCP Cloud environment
- Professional experience setting up MLOPs Framework, monitoring and dashboarding of MLOPs runs
Preferred Qualifications:
- Experienced in Agile way of working, manage team effort and track through JIRA
- High Impact client communication
- Domain experience in Retail, CPG and Logistics
- Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
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.
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.