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Infosys Machine Learning Jobs in Arizona (NOW HIRING)

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Infosys is a global leader in next-generation digital services and consulting. The AI ML Engineer role involves developing and fine-tuning machine learning models, particularly those involving LLMs ...

... Infosys Limited Company ITL USA Requisition ID 148624BR Technical Skills 1 Technology|Machine Learning|Generative AI Technical Skills 2 Technology|Cloud Platform|Amazon Webservices Managed Services ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

Required : • Experience in design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

Infosys End Client: To be disclosed JD: Position Overview * We are seeking a highly experienced ... The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large ...

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Infosys Machine Learning information

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How much do infosys machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for infosys machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Infosys Machine Learning Engineer, and why are they important?

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.

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 popular job titles related to Infosys Machine Learning jobs in Arizona? For Infosys Machine Learning jobs in Arizona, the most frequently searched job titles are:
AI ML Engineer with LLM & AWS Integration

AI ML Engineer with LLM & AWS Integration

Infosys

Tempe, AZ • On-site

$101K - $136K/yr

Full-time

Posted 7 days ago


Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

97th of 204 rated it services


Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting. The AI ML Engineer role involves developing and fine-tuning machine learning models, particularly those involving LLMs and generative AI, while also integrating and deploying models using AWS services.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
• Experience with developing and deploying AI Agents for business problems.
• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.
• Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
• 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:
• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.
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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