machine design engineer

chaplet International Private Limited

Key Responsibilities: <ul><li>Create detailed 2D and 3D designs using CAD software (AutoCAD, SolidWorks, or similar).</li><li>Develop and optimize CAM programs for CNC machining operations.</li><li>Set up, operate, and monitor CNC machines (milling, turning, etc.).</li><li>Interpret technical drawings, blueprints, and specifications accurately.</li><li>Ensure product quality through proper measurement tools and inspection techniques.</li><li>Perform routine machine maintenance and troubleshooting.</li><li>Coordinate with the production and engineering teams for process improvements.</li><li>Maintain proper documentation of designs, programs, and production data.</li></ul>Skills:&middot; Diploma / DAE or Bachelor&rsquo;s degree in Mechanical Engineering or relevant field.&middot; Minimum 2&ndash;4 years of experience in CAD/CAM design and CNC machine operation.&middot; Proficiency in CAD/CAM software (e.g., Solid Works, Power Shape, CADCAM) can also operate the CNC machine.&middot; Strong understanding of machining processes, tools, and materials.&middot; Hands-on experience with CNC machines and G-code programming.&middot; Ability to read and interpret engineering drawings.&middot; Strong attention to detail and problem-solving skills.&middot; Knowledge of engineering science and technology&middot; Ability to work independentlyQualification:&middot; DAE Diploma (optional) or Programming course from a recognized institute or equivalent education&middot; 2+ years hand-on experience in any manufacturing industry.What We Offer:<ul><li>Salary 50k-75k per month with other benefits (Paid Leave, Bi-Annual Salary Increments, Provident Fund, Annual Bonus, Leave Encashment, Life Insurance, EOBI, Pick &amp; Drop etc.)</li><li>Opportunity for growth and career advancement.</li><li>A collaborative and inclusive work environment.</li><li>Access to ongoing training and professional development.</li><li>The chance to be part of a forward-thinking and innovative team.</li></ul>Job Location:Parwain Thay, Julke, 28-KM Ferozepur Road, Near Grand Avenue Housing Society, Lahore-53100Application Process: To apply for this position, please submit your CV with job title in subject at*Only residents of nearby areas in Lahore will be preferred. Please don&rsquo;t apply if you don&rsquo;t meet the above criteria or live far away.Job Type: Full-timePay: Rs50,000.00 - Rs75,000.00 per monthWork Location: In person

CAD/CAM Designer + CNC Machine Operator (R & D Dept.) (Male)

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

The Home Depot

<div>
 Req178618
 
 
 
 Position Purpose
 
 
 
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 
 
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
 </li>
 <li>
 20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
 </li>
 <li>
 20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
 </li>
 <li>
 Design and develop machine learning models and algorithms to address business challenges.
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically repots to Software Engineer Manager or Sr. Manager
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 No travel required.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 1-3 years of relevant work experience
 </li>
 <li>
 Extensive experience in AI, machine learning.
 </li>
 <li>
 Strong understanding of AI use cases and their application in business contexts.
 </li>
 <li>
 Proven track record of developing AI use case from concept to launch.
 </li>
 <li>
 Strong programming skills in Golang, Python.
 </li>
 <li>
 Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
 </li>
 <li>
 Solid understanding of machine learning algorithms and principles.
 </li>
 <li>
 Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
 </li>
 <li>
 Experience with data preprocessing, data ingestion and model evaluation.
 </li>
 <li>
 Strong problem-solving skills and ability to work independently and as part of a team.
 </li>
 <li>
 Experience in writing SQL queries against a relational database
 </li>
 <li>
 Experience in version control systems and collaborative development tools.
 </li>
 <li>
 Experience with cloud platforms (Azure, GCP)
 </li>
 <li>
 Experience in source code version control (e.g. Git)
 </li>
 <li>
 Experience in Relational or NoSQL database technology
 </li>
 <li>
 Experience in cloud computing techniques
 </li>
 <li>
 Experience in CI/CD tools
 </li>
 <li>
 Experience in microservice-based architecture
 </li>
 <li>
 Experience with modern debugging and root cause analysis techniques
 </li>
 <li>
 Exposure to security frameworks for user and services authorization and authentication
 </li>
 <li>
 Exposure to creating and executing unit, functional, destructive and performance tests
 </li>
 <li>
 Excellent communication skills to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience in REST and effective web service design
 </li>
 <li>
 Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 2-3+ years
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Global Perspective
 </li>
 <li>
 Manages Ambiguity
 </li>
 <li>
 Nimble Learning
 </li>
 <li>
 Self-Development
 </li>
 <li>
 Collaborates
 </li>
 <li>
 Cultivates Innovation
 </li>
 <li>
 Situational Adaptability
 </li>
 <li>
 Communicates Effectively
 </li>
 <li>
 Drives Results
 </li>
 <li>
 Interpersonal Savvy
 </li>
 </ul>
</div>

AI/ML Developer II (Remote)

YO IT CONSULTING

<div>Job Title: Electronics Expert - DesignSpark PCB
Job Type: Contractor
Location: Remote
Job Summary: As an Electronics Expert - DesignSpark PCB, youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required , your domain knowledge is what matters.
Key Responsibilities:
<div><ul><li>Leverage your advanced proficiency in DesignSpark PCB to analyze and evaluate real-world electronic designs.</li></ul>
<ul><li>Create, review, and refine datasets that reflect best practices in PCB layout, analog circuits, high-speed digital design, and power electronics simulation.</li></ul>
<ul><li>Simulate complex analog and digital circuits, providing detailed feedback on design integrity, performance, and industry relevance.</li></ul>
<ul><li>Develop comprehensive documentation, technical notes, and written explanations to support data annotation and knowledge transfer.</li></ul>
<ul><li>Collaborate with a diverse, global team of experts, contributing insights to enhance the accuracy and depth of training data for AI models.</li></ul>
<ul><li>Apply deep hands-on experience to assess and validate PCB designs and circuit simulations for relevance, clarity, and technical correctness.</li></ul>
<ul><li>Use your strong written and verbal communication skills to clearly articulate electronic engineering concepts and mentor peers as needed.</li></ul>
</div>Required Skills and Qualifications:
<div><ul><li>Expert-level knowledge of DesignSpark PCB with demonstrable, hands-on project experience.</li></ul>
<ul><li>Solid foundation in electronics engineering and circuit simulation using modern software tools.</li></ul>
<ul><li>Proven experience in analog circuit design and simulation, high-speed digital PCB design, and power electronics simulation.</li></ul>
<ul><li>Background as an Electronics Engineer, Hardware Design Engineer, PCB Designer/Layout Engineer, Power Electronics Engineer, or Analog Design Engineer.</li></ul>
<ul><li>Exceptional written and verbal communication skills, with a keen ability to explain complex concepts clearly and concisely.</li></ul>
<ul><li>Meticulous attention to detail and a commitment to producing high-quality, industry-relevant data and documentation.</li></ul>
<ul><li>Strong analytical and problem-solving abilities, with a proactive approach to technical challenges.</li></ul>
</div>Preferred Qualifications:
<div><ul><li>Experience contributing to or training AI/machine learning systems in a technical domain.</li></ul>
<ul><li>Prior work on high-complexity, multi-layer PCB projects using DesignSpark PCB.</li></ul>
<ul><li>Advanced degree in Electronics Engineering or a related field.</li></ul></div></div>

Electronics Expert - DesignSpark PCB - Remote

Chevron

<div><div>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:<ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul>
Positions available<ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul>
Locations<ul><li>
Houston, TX</li></ul>
Data Scientist
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.
Key responsibilities<ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul>
Data Engineer
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.
Key responsibilities<ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul>
Machine Learning Engineer
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
Key responsibilities<ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul>
Business Intelligence Analyst
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.
Key responsibilities<ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul>
Data Analyst
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.
Key responsibilities<ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul>
Requirements
Preferred education / degrees<ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul>
Experience<ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul>
Preferred skills / competencies<ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul>
Additional information<ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div> 
Regulatory Disclosure for US Positions:<ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div> 
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.
Chevron participates in E-Verify in certain locations as required by law.</div>

2026-2027 Information Technology – Information and Analytics – Intern

Qureos

AI Engineer Company:** Qureos Location:** Karachi, Pakistan Employment Type:** Full-Time About Qureos Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team. Job Overview We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries. Responsibilities - Design, build, and deploy robust machine learning models to enhance our platform's capabilities. - Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors. - Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions. - Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products. - Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment. - Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation. - Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models. - Optimise AI models for performance, scalability, and efficiency. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. - Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role. - Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn. - Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling. - Experience with data processing and analysis using tools like Pandas and NumPy. - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable. - Excellent problem-solving abilities and a creative, analytical mindset. - Strong communication skills and the ability to work effectively in a collaborative team environment. Benefits - A competitive salary and comprehensive benefits package. - Opportunities for professional development and continuous learning. - A vibrant and supportive work culture that encourages innovation and collaboration. - The chance to work on meaningful projects that directly impact people's careers. - Flexible and modern working environment.

AI Engineer

Search 10000+ Machine design engineer jobs near you this May. New roles added regularly across leading industries. Apply today.

10000 machine design engineer jobs Near Me

CAD/CAM Designer + CNC Machine Operator (R & D Dept.) (Male)

AI Architect - Riyadh,KSA

AI Architect - Riyadh,KSA

AI/ML Developer II (Remote)

Electronics Expert - DesignSpark PCB - Remote

2026-2027 Information Technology – Information and Analytics – Intern

AI Engineer