Analyst - Data Science

Infosys LTDPlano, TX

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Overview

Schedule

Full-time

Education

Bachelor's/Undergraduate Degree

Career level

Senior-level

Remote

On-site

Benefits

Retirement Savings

Dental Insurance

Disability

Job Description

Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services.

This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.

Required Qualifications:

Candidate must be located within commuting distance of Charlotte, NC/Plano, TX or be willing to relocate to the area.
At least 2 years of experience in Information Technology.
Experience in cloud platforms (Azure, GCP) and their AI/ML services.
Bachelor's degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
Applicants 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:

Experience in Big Data technologies (e.g., BigQuery, Hadoop). Expertise in ML model development, data engineering, and software engineering principles.
Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). Hands-on experience in Generative AI, LLMs, and agentic frameworks.
Hands-on experience with vector databases and RAG pipelines.
Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
Domain expertise in Banking, Finance, or Capital Markets is a plus.

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.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -

Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off

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FAQs About Analyst - Data Science Jobs at Infosys LTD

What is the work location for this position at Infosys LTD?

This job at Infosys LTD is located in Plano, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Infosys LTD?

Employer has not shared pay details for this role.

What employment applies to this position at Infosys LTD?

Infosys LTD lists this role as a Full-time position.

What experience level is required for this role at Infosys LTD?

Infosys LTD is looking for a candidate with "Senior-level" experience level.

What education level is required for this job?

The education requirement for this position is Bachelor's/Undergraduate Degree. Candidates with relevant qualifications or equivalent experience may also be considered.

What benefits are offered by Infosys LTD for this role?

Infosys LTD offers following benefits: Retirement Savings, Dental Insurance, Disability, Health Insurance, Life Insurance, Vision Insurance, Paid Holidays, and Paid Time Off for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Infosys LTD?

You can apply for this role at Infosys LTD either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.