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Infosys Machine Learning Jobs (NOW HIRING)

Infosys Limited Digital

GenAI Engineer

Charlotte, NC · On-site

... Infosys Limited Company ITL USA Requisition ID 151775BR Technical Skills 1 Technology|Machine Learning|Generative AI Technical Skills 2 Technology|Agentic AI|Agent Engineering Technical Skills 3 ...

Infosys Limited Digital

GenAI Engineer

Charlotte, NC · On-site

... Infosys Limited Company ITL USA Requisition ID 151773BR Technical Skills 1 Technology|Machine Learning|Generative AI Technical Skills 2 Technology|Agentic AI|Agent Engineering Technical Skills 3 ...

Infosys Limited Digital

GenAI Engineer

Charlotte, NC · On-site

... Infosys Limited Company ITL USA Requisition ID 151779BR Technical Skills 1 Technology|Machine Learning|Generative AI Technical Skills 2 Technology|Agentic AI|Agent Engineering Technical Skills 3 ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into ... EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ...

Infosys

Agentic AI Engineer

Austin, TX · On-site

$103K - $138K/yr

S. or PhD in computer science, machine learning, or a related field or equivalent practical ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Overview ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into ... EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ...

Infosys Limited Digital

Gen AI Engineer

Charlotte, NC · On-site

At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate ... machine learning techniques and collaborate with technology teams to operationalize them into ...

Infosys Limited

WI · On-site

$110 - $160/hr

Participate in developing models using statistical or machine learning techniques and collaborate ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Along with ...

Infosys Limited

GenAI Engineer

Charlotte, NC · On-site

$90 - $150/hr

Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that ... Participate in developing models using statistical or machine learning techniques and collaborate ...

Infosys Limited

Agentic AI Engineer

Austin, TX · On-site

$120 - $160/hr

Proven years of software development or machine learning experience. * Proven expertise in ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Along with ...

Infosys

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... platform GenAI, Machine learning, AI, embeddings, Prompts, LLM Ops Additional Required ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Overview ...

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Infosys Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do infosys machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for infosys machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an Infosys machine learning engineer?

An Infosys Machine Learning Engineer is a technology professional who designs, develops, and deploys machine learning models and solutions as part of Infosys’s digital transformation services for clients. They work with large datasets, apply algorithms, and collaborate with data scientists, software engineers, and business teams to solve complex business problems using AI and machine learning. Their role often includes data preprocessing, model training, evaluation, and integrating models into production systems. Infosys Machine Learning Engineers also stay updated with the latest advancements in AI to deliver innovative solutions tailored to various industries.

What are the key skills and qualifications needed to thrive as an Infosys machine learning engineer?

To thrive as an Infosys Machine Learning Engineer, you need a strong background in computer science, statistics, and programming languages like Python or R, often with a relevant degree or certifications. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS or Azure), and data processing tools is typically required. Problem-solving, analytical thinking, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies ensure the development of accurate, scalable machine learning models that drive business value and innovation.

How does a machine learning professional at Infosys typically collaborate with cross-functional teams during a project?

At Infosys, Machine Learning professionals frequently work alongside data engineers, software developers, domain experts, and business analysts to deliver AI-driven solutions. Collaboration usually involves participating in project planning meetings, sharing insights on model development, and integrating machine learning models into production systems with the help of the IT team. Effective communication and an understanding of both technical and business requirements are key to ensuring that models meet client needs and are implemented smoothly. This collaborative structure not only supports successful project delivery but also provides opportunities to learn from experts in various fields.

What is the difference between Infosys Machine Learning vs Infosys Data Analyst?

AspectInfosys Machine LearningInfosys Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), data modelingData interpretation, SQL, Excel, reporting tools
Work EnvironmentDeveloping models, algorithms, and AI solutionsData cleaning, analysis, and visualization
CertificationsMachine Learning, Data Science certificationsData analysis, SQL, Excel certifications
Industry UsageAI, automation, predictive analyticsBusiness insights, reporting, data management

Infosys Machine Learning roles focus on developing AI models and algorithms, requiring programming and machine learning expertise. In contrast, Infosys Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are vital in the data ecosystem but differ in technical depth and focus areas.

More about Infosys Machine Learning jobs

What are the most commonly searched types of Infosys Machine Learning jobs?

The most popular types of Infosys Machine Learning jobs are:

What states have the most Infosys Machine Learning jobs?

States with the most job openings for Infosys Machine Learning jobs include:

What job categories do people searching Infosys Machine Learning jobs look for?

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Infosys Machine Learning jobs near you
Infographic showing various Infosys Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

On-Prem LLM Platform Engineer (OpenShift AI / GPU)

Infosys

Charlotte, NC • On-site

Full-time

Re-posted 24 days ago

Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking a Data Science Consultant 1 to join their Data and Analytics unit. The role involves participating in data preparation, model development, and collaboration with technology teams to operationalize analytics solutions.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong hands-on experience with OpenShift (OCP) and OpenShift AI
• Deep understanding of Kubernetes cluster operations and model serving
• Experience with vLLM, Triton, TensorRT-LLM, or SGLang
• Expertise in inference optimization techniques including: Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning
• Experience with GPU orchestration and scheduling
• Working knowledge of CUDA, NCCL, and MIG concepts
• 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.
• This position may require relocation and/or travel to work/project location.
• 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 now or in the future.
Preferred:
• Exposure to NVIDIA H200 GPUs (highly preferred)
• Deploy and run LLMs on-prem using: OpenShift (OCP), OpenShift AI, Kubernetes ML serving patterns
• Model serving stacks: vLLM, Triton, TensorRT-LLM, SGLang
• Unfold an LLM end-to-end: Package model artifacts, containerize, configure runtime, serve endpoints
• Implement authn/authz, secrets, networking, and endpoint routing patterns
• GPU-first platform engineering: GPU orchestration, scheduling, resource quotas
• Performance tuning for throughput/latency, memory utilization
• Awareness of CUDA/NCCL, tensor parallelism, MIG concepts
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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