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Infosys Machine Learning Jobs in California (NOW HIRING)

Search Tactics LLC

Power BI Developer

Diamond Bar, CA · On-site

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

search-tactics

Power BI Developer

Diamond Bar, CA · On-site

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

All JobsInfosys Machine Learning JobsInfosys Machine Learning Jobs in California

Infosys Machine Learning information

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.

What are popular job titles related to Infosys Machine Learning jobs in California?

For Infosys Machine Learning jobs in California, the most frequently searched job titles are:

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

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

Infosys Machine Learning jobs near you
Infographic showing various Infosys Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Software Engineer (C++/Java) - Data Platform

Wise Skulls

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Posted 4 days ago

Job description

Title: Software Engineer (C++/Java) - Data Platform
Location: Sunnyvale, CA or Austin, TX (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
  • Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems
  • Skilled in communication, problem solving, strategic thinking
  • Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience
  • Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc
  • Experience operationalizing distributed applications
  • Experience building full stack applications for big data analysis, feature extraction and annotations
  • experience building high throughput scalable applications or building machine learning models

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