2

Entry Level Ai Robotics Engineer Jobs in Puerto Rico

... Intelligence and Robotics, Data Processing/Analytics/Science, Software Engineering preferred ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ... Interest in automation, AI-enabled tools, or workflow optimization Additional Requirements / Skills ...

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ... Interest in automation, AI-enabled tools, or workflow optimization Additional Requirements / Skills ...

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ... Interest in automation, AI-enabled tools, or workflow optimization Additional Requirements / Skills ...

Laborer

Lajas, PR

$16 - $19.75/hr

... products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 ... intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated ...

Laborer

Lajas, PR · On-site

$16 - $19.75/hr

... products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 ... intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated ...

Entry Level Ai Robotics Engineer information

What are some common challenges an Entry Level AI Robotics Engineer might face in their first year, and how can they overcome them?

Entry Level AI Robotics Engineers often encounter challenges such as bridging the gap between theoretical knowledge and practical implementation, adapting to rapidly evolving technologies, and collaborating effectively with multidisciplinary teams. Navigating unfamiliar hardware platforms or debugging complex sensor integrations can also be daunting at first. To overcome these challenges, new engineers should actively seek mentorship, participate in code reviews, and engage in hands-on projects, which help build confidence and foster a deeper understanding of both AI and robotics systems.

How to become a robotics engineer with no experience?

To become an entry-level AI robotics engineer with no experience, focus on gaining foundational knowledge in robotics, programming, and AI through online courses, tutorials, or community college classes. Building hands-on skills with robotics kits, learning programming languages like Python or C++, and obtaining relevant certifications can improve your prospects; internships or volunteering can also provide practical experience.

What does an Entry Level AI Robotics Engineer do?

An Entry Level AI Robotics Engineer assists in designing, developing, and testing robotic systems that incorporate artificial intelligence. They typically work on tasks such as programming robots, integrating sensors, developing algorithms for machine learning, and troubleshooting hardware and software issues. Under the supervision of senior engineers, they help implement and optimize AI models to improve robotic performance and autonomy. This role often involves collaboration with multidisciplinary teams and learning new technologies to stay current in the rapidly evolving field of robotics.

What are the key skills and qualifications needed to thrive as an Entry Level AI Robotics Engineer, and why are they important?

To thrive as an Entry Level AI Robotics Engineer, you need a strong background in computer science, robotics, and mathematics, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or C++, robotics simulation tools (e.g., ROS, Gazebo), and basic knowledge of machine learning frameworks is highly valued. Problem-solving skills, creativity, and effective teamwork help you excel in collaborative engineering environments. These competencies are vital for developing innovative robotic solutions and ensuring smooth integration of AI technologies into real-world applications.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or certain senior roles in AI and robotics can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often leadership responsibilities or working in high-paying industries like technology or finance.

Can a robotics engineer work in AI?

Yes, robotics engineers often work in AI by integrating machine learning, computer vision, and sensor data processing into robotic systems. Entry-level AI robotics engineers typically develop algorithms and use tools like Python, ROS, and TensorFlow to enhance robot autonomy and intelligence.

How to get an AI engineer job without experience?

Entry-level AI robotics engineers can improve their chances by gaining relevant skills through online courses, tutorials, and hands-on projects using tools like Python, TensorFlow, or ROS. Building a portfolio of projects, participating in internships, and obtaining certifications can demonstrate competence to employers despite limited work experience.

What is the difference between Entry Level Ai Robotics Engineer vs Entry Level Mechanical Robotics Engineer?

AspectEntry Level Ai Robotics EngineerEntry Level Mechanical Robotics Engineer
Required CredentialsBachelor's in Computer Science, Robotics, or related; knowledge of AI, programming, and roboticsBachelor's in Mechanical Engineering, Robotics, or related; knowledge of mechanical systems and design
Work EnvironmentSoftware development, AI algorithm implementation, robotics programmingMechanical design, prototyping, assembly, and testing of robotic systems
Employer & Industry UsageTech companies, AI startups, robotics firmsManufacturing, automation, industrial robotics

Both roles involve working with robotics but focus on different aspects: AI Robotics Engineers emphasize software, algorithms, and AI integration, while Mechanical Robotics Engineers concentrate on mechanical design and hardware. The choice depends on your interest in software versus hardware within robotics.

What are popular job titles related to Entry Level Ai Robotics Engineer jobs in Puerto Rico? For Entry Level Ai Robotics Engineer jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Robotics Engineer jobs in Puerto Rico look for? The top searched job categories for Entry Level Ai Robotics Engineer jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Entry Level Ai Robotics Engineer jobs? Cities in Puerto Rico with the most Entry Level Ai Robotics Engineer job openings:
ERP AI Engineer - Senior Associate

ERP AI Engineer - Senior Associate

Pwc

San Juan, PR • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Oracle

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the DCM AI Labs team, you will develop innovative AI and machine learning systems that drive impactful solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the evolving landscape of technology. This role offers the chance to deepen your technical knowledge and grow your personal brand in a dynamic environment.
Responsibilities
- Design and implement advanced AI and machine learning solutions
- Analyze intricate challenges and provide actionable insights
- Mentor and guide junior team members in their professional development
- Cultivate meaningful relationships with clients to understand their needs
- Navigate the rapidly changing technology landscape effectively
- Enhance personal knowledge and contribute to team insights
- Collaborate with cross-functional teams to deliver exceptional outcomes
- Uphold professional standards and ethical practices in every engagement
What You Must Have
- Bachelor's Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
- At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating AI into software products
What Sets You Apart
- Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Software Engineering preferred
- Experience with LLMs, prompt engineering, and orchestration tools
- Experience with multi-agent frameworks and agentic AI patterns
- Proficiency with Docker, Kubernetes, and cloud-native architectures
- Experience with CI/CD for ML systems and model monitoring
- Experience with vector databases and embedding models
- Track record of fine-tuning models on domain-specific data
- Experience processing and managing data pipelines
- Contributions to open-source AI/ML projects or hackathons

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom