software engineer   machine learning

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 
 
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 
 
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 
 
 
 We are looking for candidates with12+ years Systems Engineering or related work experience
 
 
 
 
 
 Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
 </li>
 <li>
 Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
 </li>
 <li>
 Analyze and identify system level integration issues, interface with the software development, integration and test teams.
 </li>
 <li>
 Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
 </li>
 <li>
 Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
 </li>
 <li>
 12+ years Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 <ul>
 <li>
 Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
 </li>
 <li>
 Has experience in model level optimization using techniques like torch compile.
 </li>
 <li>
 Expertise in model architecture, backed by literature rationale and intuition
 </li>
 <li>
 Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
 </li>
 <li>
 Expertise in Model training and inference workflows.
 </li>
 <li>
 Hands-on Experience in C/C++, Python development (5+ years)
 </li>
 <li>
 Hands-on Experience with Object Orientated Design, and software development practices in general
 </li>
 <li>
 Experience with Source Code and Configuration management tools, git knowledge is required
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications And Aptitudes
 
 
 
 
 <ul>
 <li>
 Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
 </li>
 <li>
 Experience in neural network architectures + ML compiler workload synthesis, a plus
 </li>
 <li>
 Prior working experience of hardware accelerators and hardware software co-design
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
 </li>
 <li>
 A research mindset with expertise in software development
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Velo3D

<div><div>Position Overview:</div>
<div>We are looking for a machine learning engineer to kick start our efforts to predict printability of complex part geometry. The ideal candidate will have experience in organizing data and developing machine learning models on geometric data.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><div>
<div>
<ul><li>Build a printability model: Work with the process, preprint and applications team to develop ML models using image, thermal, simulation and other sensors to predict the printability of complex CAD models.
</li>
</ul></div><div><ul><li>Help define our data collection processes: Design, develop, and help maintain structured and unstructured databases that support data ingestion, storage, and retrieval from diverse data streams.
</li>
</ul></div><div><ul><li>Deploy models into production: work with the preprint team to deploy the developed models into production.
</li>
</ul></div></div><h3 class="jobSectionHeader">Qualifications</h3><div>
<div>Required</div>
<ul>
<li>Experience with machine learning pipelines particularly on geometric data.
</li>
</ul></div><div><ul><li>Experience working in a production software engineering environment.
</li>
</ul></div><div><ul><li>Strong programming skills in Python or C++.
</li>
</ul><div>Preferred</div>
<div>
<div><ul><li>Experience with powder bed fusion based manufacturing
</li>
</ul></div><div><ul><li>Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems.
</li>
</ul></div></div></div><div><div>About the Company:</div>
<div></div>
<div>Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.</div>
<div></div>
<div>With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire&reg; metal AM production printer, Flow&trade; print preparation software, Assure&trade; quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.</div>
<div></div>
<div>Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.</div>
<div></div>
<div>Our job titles may span more than one career level. The starting base salary for this full-time position is between $155,000 and $200,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.</div>
<div></div>
<div>Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div>
<div></div>
<div>This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>
<div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Machine Learning Engineer

Prima

<div>
 Are you looking for a new challenge?
 
 
 Fancy helping us shape the future of motor insurance?
 
 
 Prima could be the place for you.
 
 
 Since 2015, we&rsquo;ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we&rsquo;ve quickly become the number one online motor insurance provider. In fact, we&rsquo;re trusted by over 5 million drivers. And now we&rsquo;re expanding to help millions more drivers in the UK and Spain.
 
 
 To help fuel that growth, we need a
 
 Senior Machine Learning Engineering
 
 to join our
 
 Engineering
 
 
 Team
 
 .
 
 
 This team is the beating heart of Prima.
 
 
 You&rsquo;ll be joining over 350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you&rsquo;ll help deliver scalable, impactful solutions that shape the future of insurance.
 
 
 
 Excited to make an impact? Here are the details
 
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
 </li>
 <li>
 Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
 </li>
 <li>
 Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
 </li>
 <li>
 Growing, reading, and experimenting to always be up to speed with emerging technology.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 A robust programming background, spotlighting your prowess in Python;
 </li>
 <li>
 A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
 </li>
 <li>
 Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
 </li>
 <li>
 A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;Exceptional command of the English language.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Alongside the essential prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.
 
 
 </li>
 </ul>
 &pound;70,000 - &pound;105,000 a year
 
 
 
 Why You&rsquo;ll Love It Here
 
 
 
 We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
 
 
 
 🤸 Work Your Way:
 
 Enjoy full flexibility &ndash; work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
 
 
 
 🏁 Grow with us:
 
 We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
 
 
 
 🌈 Thrive and perform:
 
 Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
 
 
 Think you&rsquo;re a match? Apply now.
 
 
 At Prima, we celebrate uniqueness. If you don&rsquo;t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.
 
 
 
 Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let&rsquo;s build the future of insurance, together.
 
</div>

Helsing

<div>
 
 Who We Are
 
 
 
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 
 
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 
 
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 
 The role
 
 
 
 At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
 </li>
 <li>
 Scale our current infrastructure and tooling stack to support faster and larger distributed training.
 </li>
 <li>
 Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
 
 
 </li>
 </ul>
 
 You should apply if you:
 
 
 
 <ul>
 <li>
 Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
 </li>
 <li>
 Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don&rsquo;t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
 </li>
 <li>
 Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
 </li>
 <li>
 Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
 </li>
 <li>
 You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
 
 
 </li>
 </ul>
 
 Note: We operate at an intersection where women, as well as other minority groups, are systematically
 
 
 under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
 
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
 </li>
 <li>
 You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
 </li>
 <li>
 You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
 </li>
 <li>
 You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
 
 
 </li>
 </ul>
 
 Join Helsing and work with world-leading experts in their fields
 
 
 
 <ul>
 <li>
 Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
 </li>
 <li>
 The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
 </li>
 <li>
 Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
 </li>
 <li>
 In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
 </li>
 <li>
 We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary and VSOP options
 </li>
 <li>
 Relocation support: up to &euro;2,500 and 4 weeks temporary accommodation
 </li>
 <li>
 Learning: &euro;500/&pound;450 yearly allowance
 </li>
 <li>
 Health &amp; wellness: gym membership and mental health support (Nilo.health)
 </li>
 <li>
 Social: regular company events and monthly social allowances
 </li>
 <li>
 Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
 </li>
 <li>
 Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
 </li>
 <li>
 A hands-on onboarding program (affectionately labelled &ldquo;AI-duction&rdquo;), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
 
 
 </li>
 </ul>
 
 These are the core benefits across all locations, there may be additional benefits in certain locations.
 
 
 
 
 Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
 
 
 
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
 
 
</div>

AI Research Engineer - ML Engineering

MEG WORLD IT SERVICES

Meg World Technologies Pvt. Ltd. is looking for a highly motivated AI/ML Engineer &ndash; Fresher who has the technical ability, curiosity, and problem-solving mindset of an experienced developer.This is not a training-only position. The selected candidate will be expected to learn quickly, research independently, build working solutions, and take ownership of AI/ML projects.The candidate will work on Artificial Intelligence, Machine Learning, Generative AI, LLMs, AI APIs, automation, data processing, computer vision, NLP, predictive systems, and AI-powered business applications.The ideal candidate may be a fresher, but should demonstrate the ability to build real projects independently and figure out unfamiliar technologies when required.Key Responsibilities1. AI/ML Application Development<ul><li>Develop AI and machine learning solutions for real-world business requirements.</li><li>Build AI-powered web and software applications.</li><li>Integrate AI functionality into existing company products.</li><li>Develop prototypes and convert successful prototypes into production applications.</li><li>Research and implement appropriate AI/ML approaches for new requirements.</li></ul>2. Generative AI &amp; LLM DevelopmentWork with technologies such as:<ul><li>OpenAI APIs</li><li>Gemini APIs</li><li>Claude APIs</li><li>Open-source LLMs</li><li>Hugging Face</li><li>LangChain / LlamaIndex</li><li>RAG systems</li><li>Vector databases</li><li>Embeddings</li><li>AI agents</li><li>Prompt engineering</li><li>Function/tool calling</li></ul>Responsibilities may include:<ul><li>Building AI chatbots.</li><li>Developing AI assistants.</li><li>Creating RAG-based applications.</li><li>Connecting LLMs to company databases and applications.</li><li>Building AI agents and automation workflows.</li><li>Developing document/question-answering systems.</li><li>Creating AI-powered business tools.</li><li>Evaluating and improving AI responses.</li></ul>3. Machine LearningWork with:<ul><li>Supervised learning</li><li>Unsupervised learning</li><li>Classification</li><li>Regression</li><li>Clustering</li><li>Recommendation systems</li><li>Forecasting</li><li>Anomaly detection</li><li>Model evaluation</li><li>Feature engineering</li></ul>The candidate should be able to select appropriate ML approaches based on the problem rather than simply following tutorials.4. Python DevelopmentStrong working knowledge of Python is expected.Work with libraries/frameworks such as:<ul><li>Python</li><li>NumPy</li><li>Pandas</li><li>Scikit-learn</li><li>PyTorch</li><li>TensorFlow</li><li>FastAPI</li><li>Jupyter</li></ul>The candidate should be capable of writing production-oriented Python code, not just notebook-based experiments.5. Data Processing<ul><li>Collect and clean datasets.</li><li>Perform data preprocessing.</li><li>Handle missing and inconsistent data.</li><li>Perform exploratory data analysis.</li><li>Prepare datasets for ML models.</li><li>Build data processing pipelines.</li><li>Analyze model results and identify improvements.</li></ul>6. NLPWork on applications involving:<ul><li>Text classification</li><li>Sentiment analysis</li><li>Document processing</li><li>Text extraction</li><li>Summarization</li><li>Question answering</li><li>Search</li><li>Chatbots</li><li>Document intelligence</li></ul>7. Computer VisionWhere required, work with:<ul><li>Image classification</li><li>Object detection</li><li>OCR</li><li>Image processing</li><li>Document scanning</li><li>Face/object recognition</li><li>Video analysis</li></ul>Experience with OpenCV, YOLO, PyTorch, TensorFlow or similar technologies is an advantage.8. AI API &amp; Software IntegrationIntegrate AI capabilities into:<ul><li>Websites</li><li>Mobile applications</li><li>Web applications</li><li>Business software</li><li>POS systems</li><li>CRM/ERP systems</li><li>Internal company tools</li><li>SaaS products</li></ul>Build APIs using technologies such as:<ul><li>FastAPI</li><li>Flask</li><li>Node.js</li><li>REST APIs</li></ul>9. AI Agents &amp; AutomationResearch and build intelligent automation systems capable of:<ul><li>Calling external APIs.</li><li>Processing documents.</li><li>Retrieving information.</li><li>Executing predefined actions.</li><li>Connecting multiple software systems.</li><li>Automating repetitive business workflows.</li><li>Using tools/function calling where appropriate.</li></ul>10. Model DeploymentLearn and implement:<ul><li>Model serving</li><li>API deployment</li><li>Docker</li><li>Cloud deployment</li><li>GPU environments</li><li>Model optimization</li><li>Monitoring</li><li>Version management</li></ul>Exposure to AWS, Azure, Google Cloud or equivalent platforms is an advantage.11. Research &amp; Problem SolvingThis is a critical part of the role.The candidate should be able to:<ul><li>Research unfamiliar technologies independently.</li><li>Read technical documentation.</li><li>Study GitHub repositories and implementation examples.</li><li>Understand new AI models and frameworks.</li><li>Experiment with multiple approaches.</li><li>Identify why a solution is failing.</li><li>Find and implement a practical solution.</li><li>Learn new technologies quickly without requiring step-by-step training.</li></ul>The candidate should be a self-learner.Full-Stack AI DevelopmentThe candidate may also be required to connect AI systems with web applications.Knowledge of:<ul><li>HTML</li><li>CSS</li><li>JavaScript</li><li>React / Next.js</li><li>Node.js</li><li>APIs</li><li>Databases</li><li>Git/GitHub</li></ul>will be a strong advantage.The ideal candidate can build:Frontend &rarr; Backend &rarr; Database &rarr; AI Model/API &rarr; Deploymentas a complete working product.Required Technical SkillsMandatory<ul><li>Strong Python fundamentals.</li><li>Strong programming and logical problem-solving skills.</li><li>Understanding of Machine Learning fundamentals.</li><li>Understanding of AI/LLM concepts.</li><li>Experience with at least one real AI/ML project.</li><li>Ability to work with APIs.</li><li>Basic database knowledge.</li><li>Git/GitHub knowledge.</li><li>Ability to read technical documentation.</li><li>Ability to independently research solutions.</li></ul>Strong Advantage<ul><li>OpenAI API</li><li>Gemini API</li><li>Claude API</li><li>Hugging Face</li><li>LangChain</li><li>LlamaIndex</li><li>RAG</li><li>Vector databases</li><li>PyTorch</li><li>TensorFlow</li><li>Scikit-learn</li><li>Pandas</li><li>NumPy</li><li>OpenCV</li><li>YOLO</li><li>FastAPI</li><li>Docker</li><li>AWS / Azure / Google Cloud</li><li>React / Next.js</li><li>PostgreSQL / MySQL / MongoDB</li></ul>Qualifications<ul><li>B.E / B.Tech &ndash; Computer Science / AI &amp; ML / Data Science / IT</li><li>BCA / MCA</li><li>B.Sc Computer Science / Data Science / AI</li><li>Other relevant technical qualifications</li></ul>Freshers are welcome.Experience RequirementFormal work experience is not mandatory.However, the candidate should demonstrate experience-level practical capability through:<ul><li>Personal AI/ML projects</li><li>College projects</li><li>GitHub repositories</li><li>Internships</li><li>Freelance projects</li><li>Research projects</li><li>AI applications</li><li>Machine learning models</li><li>AI automation projects</li><li>LLM/RAG applications</li></ul>Important: Practical Ability Over QualificationWe are specifically looking for candidates who can build things, not candidates who only know AI/ML theory.A candidate who can independently build a working AI application will be strongly preferred over a candidate with excellent academic marks but limited practical experience.Problem-Solving ExpectationsThe candidate should be comfortable receiving a requirement such as:&quot;We need an AI system that can read uploaded documents, understand the information, answer questions, and integrate with our web application.&quot;The candidate should be able to:<ul><li>Understand the requirement.</li><li>Research suitable technologies.</li><li>Design the solution.</li><li>Build a prototype.</li><li>Test the approach.</li><li>Fix problems.</li><li>Integrate it with the application.</li><li>Deploy it.</li><li>Improve it based on feedback.</li></ul>They should not require someone to explain every technical step.Key Performance Indicators (KPIs)Performance will be evaluated based on:<ul><li>Ability to independently solve problems.</li><li>Number and quality of working AI/ML projects.</li><li>Development speed.</li><li>Quality of implementation.</li><li>Ability to research and learn new technologies.</li><li>Model/application accuracy and performance.</li><li>Successful API and software integrations.</li><li>Bug fixing and troubleshooting ability.</li><li>Code quality and documentation.</li><li>Ability to convert requirements into working solutions.</li><li>Innovation and experimentation.</li><li>Project ownership.</li></ul>Ideal CandidateThe ideal candidate is:A fresher by experience, but an experienced thinker.We are looking for someone who:<ul><li>Loves technology.</li><li>Builds projects independently.</li><li>Is curious about AI.</li><li>Learns extremely fast.</li><li>Can research without constant supervision.</li><li>Can solve unfamiliar technical problems.</li><li>Is comfortable experimenting.</li><li>Can work under deadlines.</li><li>Takes ownership.</li><li>Is not afraid of difficult technical requirements.</li><li>Can move from an idea to a working prototype.</li><li>Wants to become a strong AI/ML engineer.</li></ul>Most Important QualityWe are not looking for someone who knows everything. We are looking for someone who knows how to find, learn, build and solve anything.Career GrowthAI/ML Engineer &ndash; Fresher &darr; AI/ML Engineer &darr; Senior AI/ML Engineer &darr; AI/ML Technical Lead &darr; AI Product / Engineering LeadPosition SummaryDesignation: AI/ML Engineer &ndash; Fresher Experience: Fresher / 0&ndash;1 Year Department: Artificial Intelligence / Software Development Employment Type: Full-Time Location: Chennai, Tamil Nadu Primary Focus: AI, Machine Learning, Generative AI, LLMs, AI Agents, Automation, APIs, Data &amp; AI-powered SoftwareMeg World Technologies Pvt. Ltd. is seeking a high-potential fresher who can grow into an independent AI/ML engineer capable of researching, developing, integrating, deploying, and maintaining AI-powered products.Pay: ₹8,000.00 - ₹12,000.00 per monthWork Location: In person

AI/ML Engineer – Fresher

Autodesk

<div>
 
 Job Requisition ID #
 
 
 
 26WD100236
 
 
 
 Job Description
 
 
 
 
 Position Overview
 
 
 
 The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.
 
 
 As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration.
 
 
 The team work in a hybrid working model from our offices in London.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate on projects at the intersection of research and product with a diverse, global team
 </li>
 <li>
 Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
 </li>
 <li>
 Work with complex datasets and representations for model training, evaluation, and analysis
 </li>
 <li>
 Analyze errors and provide solutions to problems
 </li>
 <li>
 Present results to collaborators and leadership
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BSc or MSc in Computer Science, or equivalent industry experience
 </li>
 <li>
 3+ years of machine learning experience
 </li>
 <li>
 Experience working in research or experimental environments with evolving requirements
 </li>
 <li>
 Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
 </li>
 <li>
 Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
 </li>
 <li>
 Experience working with diverse data representations, including 2D and 3D geometry
 </li>
 <li>
 Experience with version control, reproducibility, and deploying machine learning models
 </li>
 <li>
 Experience using modern AI/GenAI tools in development or experimentation workflows
 </li>
 <li>
 Excellent written documentation skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
 </li>
 <li>
 Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
 </li>
 <li>
 Experience with cloud services and architectures (e.g. AWS, Azure)
 </li>
 <li>
 Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
 </li>
 <li>
 Knowledge of the design, manufacturing, AEC, or media &amp; entertainment industries
 </li>
 <li>
 Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
 
 
 </li>
 </ul>
 
 
 Learn More
 
 
 
 
 
 About Autodesk
 
 
 
 Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
 
 
 We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
 
 
 When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
 
 
 
 Salary transparency
 
 
 
 Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
 
 
 
 Belonging
 
 
 
 We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
 
 
 
 Are you an existing contractor or consultant with Autodesk?
 
 
 
 Please search for open jobs and apply internally (not on this external site).
</div>

Machine Learning Engineer 3D Geometry/ Multi-Modal

microTECH Global LTD

<div>
 
 Job Title: AI Software Engineer
 
 
 Location: London or Cambridge, UK
 
 
 Type: Permanent
 
 
 
 
 
 Our client are an international semiconductor company.
 
 
 
 
 
 Responsibilities:
 
 
 Lead engineering efforts on complex research projects in machine learning and artificial intelligence
 
 
 Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
 
 
 Coordinate closely with researchers to align engineering work with research objectives and project goals
 
 
 
 
 
 Requirements:
 
 
 PhD in Computer Science or related subject
 
 
 Extensive experience researching machine learning algorithms and systems
 
 
 Advanced proficiency in programming languages such as Python, C++, or similar
 
 
 Experience with optimization, reinforcement learning, and/or large language models (LLMs)
 
 
 Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
 
 
 Experience with scalable system design and deployment in research or production environments
 
 
 Exposure to chip design or applied AI research
 
 
 
 
 
 If this sounds like it could be of interest, please apply below or reach out to daniel@microtech-global.com
 
</div>

Artificial Intelligence Engineer

Search 1074+ Software engineer   machine learning jobs near you this August. New roles added regularly across leading industries. Apply today.

1074 software engineer machine learning jobs Near Me

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Senior Machine Learning Engineer

Senior Machine Learning Engineer

AI Research Engineer - ML Engineering

AI/ML Engineer – Fresher

Machine Learning Engineer 3D Geometry/ Multi-Modal

Artificial Intelligence Engineer