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Infosys Machine Learning Jobs in California (NOW HIRING)

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Infosys Machine Learning information

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 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 June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
AI Engineer (LLM, Agents & Data Engineering)

AI Engineer (LLM, Agents & Data Engineering)

Wise Skulls

Sunnyvale, CA • On-site

Contractor

Posted 23 days ago

Job description

Title: AI Engineer (LLM, Agents & Data Engineering)
Location: Austin, TX or Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Required Qualifications:
  • 5+ years of software engineering experience with Python or similar programming languages
  • Hands-on experience with LLMs and prompt engineering
  • Strong understanding of AI evaluation methodologies and quality metrics
  • Excellent written and verbal communication skills
  • Experience with version control, CI/CD, and modern software development practices
  • Ability to manage multiple projects in a fast-paced environment

Key Responsibilities:
  • Design, test, and optimize prompts for AI-powered products
  • Build and maintain evaluation frameworks to measure model quality and consistency
  • Collaborate with product, research, and safety teams to support feature development and model releases
  • Develop tools and infrastructure to improve prompt development and testing workflows
  • Mentor engineers on prompt engineering best practices
  • Support rapid experimentation and continuous improvement of AI systems

Preferred Qualifications:
  • Experience with Claude or other frontier AI models
  • Background in Machine Learning, NLP, or related fields
  • Experience with A/B testing and experimentation frameworks
  • Familiarity with AI safety and alignment concepts
  • Experience building tools and infrastructure for AI/ML workflows

Apply