Analytics Lead- Python and Data Structures
Apply NowCompany: Infosys Limited Digital
Location: Charlotte, NC 28269
Description:
Job details
Work Location
Charlotte, NC, Plano, TX
State / Region / Province
North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Skills
Technology|Machine Learning|NLP-Speech Analytics
Company
ITL USA
Requisition ID
131951BR
Job description
Infosys is seeking an Analytics Lead- Python and Data Structures . 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:
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.
Work Location
Charlotte, NC, Plano, TX
State / Region / Province
North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Skills
Technology|Machine Learning|NLP-Speech Analytics
Company
ITL USA
Requisition ID
131951BR
Job description
Infosys is seeking an Analytics Lead- Python and Data Structures . 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.
- All applicants authorized to work in the United States are encouraged to apply
- Candidate must live within commuting distance of Charlotte, NC or Plano, TX, or be willing to relocate. This is an onsite position. Travel within the US may be required.
- At least 4 years of experience in Information Technology
- At least 3 years of experience in Core Python Development with Data Structures, Stacks, Queues, Linked list OOPS concepts,
- 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.
- Experience in LLM, Generative AI (developing capabilities or Dev/Ops)
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
- 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
- Domain experience in Banking, Finance, Capital Markets
- Experience in the following responsibilities through full time employment history:
- Design, develop and maintain software applications using core Python
- Write clean and efficient and well documented core python code
- Implement data structures and algorithms to solve complex problems.
- Utilize strong understanding of data structures (ex: arrays, linked lists, stacks, queues, trees, graphs) and algorithms (ex: sorting, searching, dynamic programming) to optimize software performance
- Analyze and improve the efficiency, scalability and stability of various system resources
- Optimize existing code for better performance and scalability
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.