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Infosys Machine Learning Jobs (NOW HIRING)

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Pyspark, Machine learning, Data Warehousing Additional Required Qualifications • Bachelor ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Benefits ...

... fine-tune machine learning models, particularly those involving LLMs and generative AI. • ... Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

... Machine Learning|Generative AI Technical Skills 5 Technology|DevOps|Continuous delivery - Continuous deployment and release Overview The Strategic Technology Group (STG) unit at Infosys is designed ...

... fine-tune machine learning models, particularly those involving LLMs and generative AI. • ... Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital ... Strong understanding of machine learning fundamentals, deep learning architectures, and natural ...

Required Skill and Experience • Hands-on experience with at least one major machine learning ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Overview ...

Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital ... Strong understanding of machine learning fundamentals, deep learning architectures, and natural ...

FL · On-site

... Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Overview Infosys Topaz is an AI-first suite of services, solutions, and ...

Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital ... Strong understanding of machine learning fundamentals, deep learning architectures, and natural ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Overview ...

Infosys/Apple is seeking a highly skilled and motivated Data Scientist / Machine Learning Engineer to join their team. The role involves developing and implementing advanced analytics and machine ...

FL · On-site

... Group Infosys Limited Company ITL USA Requisition ID 151598BR Technical Skills 1 Technology|Machine Learning|Generative AI Technical Skills 2 Technology|Generative AI|Conversational AI Platform ...

Showing results 41-60

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?

The top searched job categories for Infosys Machine Learning jobs are:

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.

$99K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job details
Job Role
Technology Consultant 1
Career Role
Technology Analyst - US
Work Location
Dallas, TX, Raleigh, NC
State / Region / Province
North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
150261BR
Technical Skills 1
Technology|Data Engineering|Databricks
Technical Skills 2
Technology|Big Data - Data Processing|PySpark
Technical Skills 3
Foundational|Development process generic|Data Warehousing Development process
Overview
The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.
In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below:
• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation.
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository
Your contribution to the team:
• An agile mindset with effective communication and problem-solving skills.
• The ability to work on majority of the areas as part of SDLC lifecycle
• Passion for innovating solutions that drive progress and meet future challenges.
• A proactive approach to monitoring and resolving production issues before they escalate.
• Commitment to continuous learning, knowledge sharing, and fostering team development
Required Skill and Experience
Databricks, Pyspark, SQL
Preferred Skill and Experience
Databricks, Pyspark, Machine learning, Data Warehousing
Additional 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.
• 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.
Benefits
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
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.
EEO
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.