Artificial Intelligence and Machine Learning OR AI Engineering * Data Science, Computer Engineering, or other related fields Preferred Qualification : * Consistent academic performance demonstrated ...
Artificial Intelligence and Machine Learning OR AI Engineering * Data Science, Computer Engineering, or other related fields Preferred Qualification : * Consistent academic performance demonstrated ...
... AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary ...
... AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary ...
... AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary ...
... AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary ...
Learning Ai information
See Ruston, LA salary details
$24.05 is the 25th percentile. Wages below this are outliers.
$21.73 - $24.86
34% of jobs
The median wage is $27.70 / hr.
$24.86 - $27.98
18% of jobs
$27.98 - $31.10
12% of jobs
$31.10 - $34.22
3% of jobs
$34.22 - $37.34
5% of jobs
$37.34 - $40.47
2% of jobs
$40.73 is the 75th percentile. Wages above this are outliers.
$40.47 - $43.59
16% of jobs
$43.59 - $46.71
9% of jobs
$46.71 - $49.83
0% of jobs
$49.83 - $52.96
0% of jobs
$52.96 - $56.08
1% of jobs
$21
$32
$56
How much do learning ai jobs pay per hour?
As of Jul 2, 2026, the average hourly pay for learning ai in Ruston, LA is $32.85, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $42.69 per hour, depending on experience, location, and employer.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.
What is a Learning AI?
A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.
What jobs can I get if I learn AI?
Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.
What is the difference between Learning Ai vs Data Scientist?
| Aspect | Learning Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically a degree in Computer Science, AI, or related fields; certifications in AI/ML | Degree in Computer Science, Statistics, or related fields; certifications in data analysis or ML |
| Work Environment | Tech companies, AI startups, research labs focusing on AI development | Business environments, analyzing data to inform decisions across industries |
| Employer & Industry Usage | Primarily in AI development, research, and product creation | Across finance, healthcare, marketing, and other sectors for data analysis |
Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.
Can I get paid to learn AI?
Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.
How do Learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?
Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.
How can I start a career in AI?
To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.
What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?
To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.
Infosys rating
7.5
Based on 58 frontline employees who took The Breakroom Quiz
94th of 207 rated it services
Job description
Infosys | Specialist Programmer
About the Role
Infosys has designed the Power Programmers career track for polyglots who are passionate about programming and want to do more than programming as usual. This role is ideal for highly skilled Programmers, who enjoy working across modern technology stacks and want to build or contribute to largescale platforms, transformation projects, innovative solutions, and develop open software.
As a Specialist Programmer, you will work on latest and nextgeneration technologies, collaborate with experienced engineers, and build highquality, scalable, and secure software solutions. You will be part of a strong learning culture that values teamwork, innovation, diversity, and continuous growth.
As a Specialist Programmer, you would be expected to:
Technical Skills
Mandatory: Candidates should have strong knowledge & academic project(s) in one or more of the following software development skillset groups:
Desirable knowledge in one or more of the below aspects:
Additional Competencies
Why should I become a power programmer?
As part of the campus hiring process, candidates will be required to complete an online assessment. The assessment is remotely monitored and includes identity verification and fraudprevention measures to ensure a fair and consistent evaluation for all applicants.
Basic Qualification:
Bachelor's degree (minimum 4 years) or equivalent required from an accredited institution with degree completed upon joining. (Recent graduates or students who have graduated within the past 0-18 months)
Majors must include:
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 at this time
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Pay: $90,000 per year
About the Role
Infosys has designed the Power Programmers career track for polyglots who are passionate about programming and want to do more than programming as usual. This role is ideal for highly skilled Programmers, who enjoy working across modern technology stacks and want to build or contribute to largescale platforms, transformation projects, innovative solutions, and develop open software.
As a Specialist Programmer, you will work on latest and nextgeneration technologies, collaborate with experienced engineers, and build highquality, scalable, and secure software solutions. You will be part of a strong learning culture that values teamwork, innovation, diversity, and continuous growth.
As a Specialist Programmer, you would be expected to:
- Requirement Gathering
- Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
- Design
- Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
- Development
- Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
- Knowledge Management
- Support the team to foster a robust technical environment and ensure error-free coding.
- Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
- Strategic Solutioning & Deployment
- Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
- Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
- Performance Engineering
- Support in implementation of technical services to meet quality service (QoS) requirements
- Quality & Productivity
- Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
- Interface with customers during warranty support to ensure issues are fixed in a timely manner.
- Risk Management
- Address technical issues during testing to ensure a reliable, production-ready codebase.
- Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
- Testing
- Fix issues during testing phases to ensure error-free, clean releases.
Technical Skills
Mandatory: Candidates should have strong knowledge & academic project(s) in one or more of the following software development skillset groups:
- Application Development (any one of the below streams)
- Java, Spring Boot and Microservices, Angular/React JS, Docker and K8S
- Angular/React JS Or Next.js/Vue.js, MongoDB, NodeJS / JavaScript and Typescript.
- C# .NET, ASP.NET .NET Core, MongoDB OR Any NoSQL database, Angular JS or JavaScript, ExpressJS / NodeJS
- Data Engineering:
- Hadoop, Spark, PySpark, Hive, PostgreSQL, Python/Java, Kafka, Airflow and Beam.
- AI Engineering:
- Python, Agentic AI, LangChain, LangGraph, NLP, MCP, Prompt/Context Engineering etc
- Also, candidate should have strong algorithmic, analytical and problem-solving skills
- Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes.
- Proactive & effective collaboration and strong communication skills
Desirable knowledge in one or more of the below aspects:
- Developing and deploying Microservices
- Understanding of Service Oriented Architecture, Object Oriented concepts and design patterns
- Knowledge on cloud-based platforms like AWS, Azure, GCP etc
Additional Competencies
- Ability to work in a fast paced and agile environment
- The ability to adopt emerging technologies, translating them into practical prototypes.
- Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
- External Certifications, if applicable
- Active participation in Technology forums and Hackathon coding events
- Active Contribution to Open Source Community
Why should I become a power programmer?
- Competitive salary, benefits package, trainings and courses
- Work on Large Scale Digital platforms & marketplaces
- Work on Complex Engineering Projects using cloud native architecture
- Enabled on latest technologies through internal and external Training programs
- Mentored by qualified technologists
- Opportunity to demonstrate thought leadership through patents and publications.
As part of the campus hiring process, candidates will be required to complete an online assessment. The assessment is remotely monitored and includes identity verification and fraudprevention measures to ensure a fair and consistent evaluation for all applicants.
Basic Qualification:
Bachelor's degree (minimum 4 years) or equivalent required from an accredited institution with degree completed upon joining. (Recent graduates or students who have graduated within the past 0-18 months)
Majors must include:
- Computer Science
- Information Technology
- Software Engineering
- Artificial Intelligence and Machine Learning OR AI Engineering
- Data Science, Computer Engineering, or other related fields
- Consistent academic performance demonstrated through coursework and overall academic results, with a minimum GPA of 3.0
- Willingness to relocate anywhere within the US.
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 at this time
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Pay: $90,000 per year
About Infosys
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Bengaluru, KA, IN