Data Scientist

Job details

Country

USA

State / Region / Province

New Jersey

Work Location

Jersey City, NJ

Domain

Delivery

Interest Group

Infosys Limited

Skills

Technology|Data Science|Machine Learning

Company

ITL USA

Requisition ID

123397BR

Job description

Infosys is seeking a Python Developer, skilled in Data Structure . Candidate should have strong background in designing and deploying Machine Learning models using Python. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Cloud Platform. 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:

• 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.
• 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.
• At least 4 years of experience in Information Technology
• Candidate must live within commuting distance of Jersey City, NJ or be willing to relocate. This is an onsite position. Travel within the US may be required.
• At least 3 years of experience as Core Python Developer with Data Structures, Stacks, Queues, Linked list OOPS concepts,
• At least 3 years of experience in Creating large-scale data processing pipelines to help developers build and train novel machine learning algorithms.
• At least 3 years of experience in developing, test and maintain high-quality software using Python programming language.
• At least 3 years of experience in Cloud platforms (e.g., GCP, Azure) and their AI services.
• At least 2 years of experience in developing ML, NLP Deep learning models
• At least 2 years of Experience in working With Derivatives and Capital Markets
• Ability to write clean and reusable code that can be easily maintained and scaled.

Preferred Qualifications:

• Experience in LLM, Generative AI (developing capabilities or Dev/Ops)
• Participation experience in code reviews, ensure code quality and identify areas for improvement to implement practical solutions.
• Debugging codes when required and troubleshooting any Python-related queries.
• Experience in working with Multi cloud environment such as, GCP, AWS, Azure
• 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
• Domain experience in Banking, Finance, Capital Markets

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.
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.