Develop system Human Machine Interface (HMI) simulations and prototypes. * Create and manage ... You are resourceful in computer-based tools, autonomous in learning and adapting easily to new ...
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Develop system Human Machine Interface (HMI) simulations and prototypes. * Create and manage ... You are resourceful in computer-based tools, autonomous in learning and adapting easily to new ...
Infosys Machine Learning information
See Arizona salary details
$23.8K - $29.1K
5% of jobs
$30.8K is the 25th percentile. Wages below this are outliers.
$29.1K - $34.4K
59% of jobs
$34.4K - $39.6K
9% of jobs
$40.1K is the 75th percentile. Wages above this are outliers.
$39.6K - $44.9K
17% of jobs
$44.9K - $50.2K
4% of jobs
$50.2K - $55.5K
2% of jobs
$55.5K - $60.8K
3% of jobs
$60.8K - $66.1K
0% of jobs
$66.1K - $71.4K
0% of jobs
$71.4K - $76.7K
0% of jobs
$76.7K - $82K
0% of jobs
$23.8K
$39.7K
$82K
How much do infosys machine learning jobs pay per year?
As of Aug 15, 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?
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?
| Aspect | Infosys Machine Learning | Infosys Data Analyst |
|---|---|---|
| Required Skills | Machine learning algorithms, programming (Python, R), data modeling | Data interpretation, SQL, Excel, reporting tools |
| Work Environment | Developing models, algorithms, and AI solutions | Data cleaning, analysis, and visualization |
| Certifications | Machine Learning, Data Science certifications | Data analysis, SQL, Excel certifications |
| Industry Usage | AI, automation, predictive analytics | Business 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:
What job categories do people searching Infosys Machine Learning jobs in Arizona look for?
The top searched job categories for Infosys Machine Learning jobs in Arizona are:
Full-time
Posted 19 days ago
Job description
*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*
Job Title : Human Factors Engineering, Flight Deck Design
Job Location : Any of below location
• Wichita (USA) or
• Hartford (USA) or
• Dallas (USA) or
• Opa Locka (Florida, USA) or
• Tucson (USA)
What are your contributions to the team?
In your role, you will conceptualize, design, evaluate and certify Flight deck interfaces through requirements capture, prototyping, simulation, analysis and usability tests.
More specifically, you will:
• Deploy cognitive ergonomics expertise to support design, tests and analysis of Human-Machine
Interfaces.
• Support requirements development, task analysis, and human error analysis.
• Develop system Human Machine Interface (HMI) simulations and prototypes.
• Create and manage documentation for Human Factors activities related to new aircraft,
significant cockpit modifications and sustaining programs.
• Elaborate and conduct User Centered Design activities related to Flight deck HMI.
• Perform scenario-based Flight deck and User eXperience (UX) evaluation in line with Customer
Flight deck philosophy.
• Interact with Flight Crews to develop and assess overall cockpit physical and cognitive usability.
• Support certification effort for 1302 and other Human Factors related regulations.
• Interact with several programs / platforms.
How to thrive in this role?
As our ideal candidate,
• You possess a Bachelor's degree in Engineering or Science and a Degree in Cognitive Ergonomics, Psychology, Industrial Design or equivalent.
• You have practical experience in cognitive ergonomics (cognition, perception, decision making, workload, situation awareness, human error) and notions of physical ergonomics (anthropometry, strength, reach, vision).
• You have a relevant experience (10 years) and knowledge in the Aerospace industry, including especially aircraft systems, flight operations, regulatory environment, and design standards (e.g. MIL STD, SAE ARP, ARINC, etc.).
• You are resourceful in computer-based tools, autonomous in learning and adapting easily to new software.
• You are an organized and self-motivated team player, capable to work with or without supervision, with good technical writing and oral presentation skills (English required, French an asset).
• You are resourceful, capable to absorb a large quantity of information, able to plan and execute experiments, evaluations and tests for validation and verification.
• You are able to work under pressure and adjust to changing and competing priorities.
• You show initiative, efficiency, have a strong sense of responsibility and integrity, good interpersonal communication skills and technical judgment.
Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.
Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.