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Infosys Machine Learning Jobs (NOW HIRING)

Infosys End Client: To be disclosed JD: * 7+ years of PHP development experience * Hands-on ... Very good hands-on experience in Machine Learning, Pandas, and NumPy * Ability to work onsite in ...

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... Our always-on learning agenda drives their continuous improvement through building and transferring ...

Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ... We are committed to fostering a culture of continuous learning and growth, ensuring that our team ...

Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital ... Our always-on learning agenda drives their continuous improvement through building and transferring ...

Solid Data Science experience (statistical analysis, predictive analytics, machine learning ... Prior experience working for a consulting firm (e.g., Accenture, Cognizant, Deloitte, Infosys, TCS ...

Solid Data Science experience (statistical analysis, predictive analytics, machine learning ... Prior experience working for a consulting firm (e.g., Accenture, Cognizant, Deloitte, Infosys, TCS ...

Showing results 21-40

Infosys Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do infosys machine learning jobs pay per year?

As of Aug 15, 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 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.

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.
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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

PHP Developer

Wise Skulls

Austin, TX • On-site

Contractor

Posted 21 days ago


Job description

Title: PHP Developer
Location: Austin, TX (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
  • 7+ years of PHP development experience
  • Hands-on experience with HTML5, CSS, and JavaScript frameworks: React, Vue, or Angular
  • Knowledge of SQL, NoSQL, and database schema design
  • Understanding of common PHP and web server exploits and their solutions
  • Experience with UI build systems and package managers, including Webpack and npm
  • Experience troubleshooting build issues
  • In-depth knowledge of Git and source version control software
  • Very good hands-on experience in Machine Learning, Pandas, and NumPy
  • Ability to work onsite in Austin, TX, 3 days a week