learning engineer

MIT Academy

<p><b>Job Title:</b></p><p><b>Machine Learning Engineer</b></p><p><b>Location:</b></p><p>MIT Academy Office, Malaysia</p><p><b>About Us:</b></p><p>MIT Academy is at the forefront of providing advanced training in emerging technologies such as robotics, automation, artificial intelligence, and engineering disciplines. Our mission is to equip students and professionals with industry-relevant skills that prepare them for tomorrow&rsquo;s career challenges. We are seeking a passionate <b>Machine Learning Engineer</b> with hands-on experience to support our AI-driven learning platforms and projects.</p><p><b>Job Summary:</b></p><p>We are looking for a skilled <b>Machine Learning Engineer</b> with more than <b>2 years of relevant experience</b> to design, develop, and deploy machine learning models and solutions that enhance MIT Academy&rsquo;s educational and training platforms. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience with data processing and model optimization in real-world scenarios.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and deploy machine learning models to solve educational and business challenges.</li><li>Collaborate with cross-functional teams to understand data requirements and create scalable ML pipelines.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights.</li><li>Train, test, and validate models to ensure robustness, accuracy, and fairness.</li><li>Optimize algorithms for performance and scalability using appropriate tools and frameworks.</li><li>Integrate ML solutions into existing platforms such as learning management systems and recommendation engines.</li><li>Stay updated with the latest advancements in AI/ML technologies and suggest improvements.</li><li>Document workflows, model architectures, and evaluation metrics to support reproducibility and knowledge sharing.</li><li>Provide technical guidance and mentorship to junior team members.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Mathematics, or a related field.</li><li><b>More than 2 years of experience</b> in machine learning engineering, data science, or AI development.</li><li>Strong programming skills in Python, R, or similar languages.</li><li>Hands-on experience with ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras.</li><li>Solid understanding of supervised and unsupervised learning algorithms, neural networks, and deep learning architectures.</li><li>Experience in data processing, model evaluation, and deployment pipelines.</li><li>Knowledge of cloud services (AWS, GCP, Azure) and containerization tools like Docker is a plus.</li><li>Good problem-solving skills and attention to detail.</li><li>Excellent communication skills and the ability to explain complex concepts clearly.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience working with recommendation systems, computer vision, NLP, or reinforcement learning.</li><li>Published research papers or participation in AI competitions like Kaggle.</li><li>Knowledge of big data tools such as Spark or Hadoop.</li></ul><p><b>Why Join MIT Academy:</b></p><ul><li>Work on cutting-edge AI projects that impact education and skill development.</li><li>Collaborate with a team of innovators and experts passionate about technology-driven learning.</li><li>Access professional development opportunities and continuous learning resources.</li><li>Contribute to programs that help students and professionals achieve their career goals.</li></ul><p>Job Type: Full-time</p>

Machine Learning Engineer

AxcelerateAI

<p>We are a software development company with a strong specialised focus on developing artificial intelligence-based solutions for real-world industrial problems. We focus on using state-of-the-art AI technologies to solve complex industrial problems.</p><p>We are looking for a Machine Learning (ML) engineer, with a specialisation in deep learning, to join our team.</p><p><b>Position Details</b></p><p>Type: Full-time</p><p>Location: In-person, Johar Town Lahore</p><p><b>Job Description</b></p><p>Coordinating with an in-house or external data team to design a strategy for collecting appropriate data for building a deep learning model for the required task</p><p>Designing, building and training deep learning models using state-of-the-art architectures including CNNs, LSTMs, attention networks and transformers. Training is either done on our on-premise servers or on the cloud (e.g., using AWS servers)</p><p>Deploying the final model on a server and providing an interface or APIs to interact with it</p><p><b>Minimum Requirements</b></p><p>Bachelor&rsquo;s or Master&rsquo;s degree in EE, CS or Data Science</p><p>Ability to formulate a problem as a machine learning problem</p><p>A reasonable theoretical/mathematical understanding of various deep learning architectures</p><p>A reasonable theoretical/mathematical understanding of various objective/loss functions</p><p>Strong programming skills in Python</p><p>Extensive experience in either TensorFlow or PyTorch</p><p>Prior experience of using deep learning either in research or industrial setting</p><p>No minimum prior industry experience is needed if the candidate fulfills the above requirements.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Virtue Therapy and Research

<p><b>We are a team of 16+ people with In-depth expertise in AI, product design, psychology, business, and software development. With HQ in Dubai but growing as a multi-location team, we embrace all cultures and enjoy learning from each other; we currently have team members from Spain, Jordan, Egypt, India, Serbia, Iran, Armenia, and Argentina. We hope to keep adding more cultures!</b></p><p><b>We deeply care about an honest, inclusive, high-performance work environment. We celebrate genuine relationships and innovative mindsets.</b></p><p>We are looking for an <b>ML Software Engineer</b> to join us on the ground floor! You will work directly alongside the engineering team.</p><p>The ML Engineer at VirtuE will be an integral part of the EDAA team, working on our cutting-edge multimodal and multi model generative deep learning product. The company works on Emotional AI and integrating psychology with AI to translate human emotions into code. This role focuses on developing, training, fine-tuning, and deploying AI models for high scale, while following MLOps and software engineering protocols. You will collaborate with cross-functional teams to implement AI features that align with the product&rsquo;s vision and technology strategy. This role is ideal for someone with a strong foundation in machine learning, deep learning frameworks, and experience in high-load (e.g. 1K requests per second) software applications.</p><p><b>You will be working in:</b></p><ul><li>In the first three months of collaboration, you should be able to manage all EDAA models (Emotional data analysis and automation). You will develop, implement, and optimize ML models (to have fast response on high load) to enhance the product functionalities based on the product roadmap.</li><li>You will train, fine-tune, and deploy machine learning and deep learning models (including LLMs).</li><li>Integrate models into existing applications, storage tasks, and basic code development tasks based on DevOps protocols.</li><li>and, maintain ML operations using SageMaker or something similar.</li></ul><p><b>What should you bring?</b></p><p><b>Must</b>:</p><ul><li>Min 4 years of work experience in developing Python applications with high load</li><li>Hands-on experience with Deep learning frameworks (e.g. TensorFlow, PyTorch, Numpy, Pandas, Sklearn)</li><li>Experience in training/fine-tuning deep learning models like LLMs and RAG is required.</li><li>Knowledge of basic LINUX commands, SQL and NoSQL Database, and Cloud storage (S3 or Dynamo, etc.)</li></ul><p><b>Nice to have</b></p><ul><li>Experience in model optimization (e.g. MLOps platforms like AWS SageMaker or GCP)</li><li>Basic knowledge of deployment using Dockers.</li><li>Basic Knowledge of REST APIs (and/or fast API), and Git.</li></ul><p><b>What do all team members have in common?</b></p><ul><li>Intellectual curiosity. We encourage people to proactively address potential problems.</li><li>We navigate ambiguity and demonstrate accountability and autonomy.</li><li>Open-minded, we embrace all cultures and backgrounds. Eager to learn, grow, give, and receive feedback!</li><li>We embrace the principles of decentralization, valuing the power of distributed decision-making.</li><li>Entrepreneurial spirit, excited about shaping a future where technology serves as a force for positive change</li></ul><p><b>What do we offer?</b></p><ul><li>100% Remote (UAE or anywhere in CET+-4)</li><li>Salary based on mid-market standards</li><li>Growing opportunities within our overall company growth (Based on Individual development plans + OKRs)</li><li>We do 4 strategy workshops per year where we all meet either in person at the <b>DIFC</b> (or online) and 1 annual team gathering to spend a few days together</li><li>International Health Insurance (for the employee only)</li><li>Visa Sponsorship (for the employee only)</li></ul><p>**Location:** United Arab Emirates (UAE) or anywhere in CET+-4.</p><p><b>Note:</b> If you are based in the UAE, we provide an Employment Contract through the DIFC; if you are outside the UAE, we offer a Contractor Agreement.</p><p>Job Type: Full-time</p><p>Pay: AED15,000.00 - AED18,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Machine learning : 3 years (Required)</li></ul>

Deep learning Engineer

Macquill Marketing Agency

<p><b>Job Overview</b><br/>We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy machine learning models and AI automation solutions.</li><li>Build and optimize intelligent automation workflows using ML algorithms, AI tools, and APIs.</li><li>Performdata preprocessing, feature engineering, and exploratory data analysis (EDA).</li><li>Implement and optimize ML models using Python and frameworks like TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Integrate AI-driven automation tools such as RPA (Robotic Process Automation), Chatbots, NLP solutions, and AI APIs into production systems.</li><li>Continuously monitor and improve model performance and automation efficiency.</li><li>Research and stay updated on emerging AI/ML trends, frameworks, and automation technologies.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.</li><li>Strong understanding of Machine Learning algorithms (supervised, unsupervised, deep learning).</li><li>Proficiency in Python and ML/AI libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).</li><li>Knowledge ofAI Automation tools(e.g., UiPath, Power Automate, Zapier, OpenAI API) is a plus.</li><li>Familiarity with APIs, model deployment, and cloud platforms (AWS/GCP/Azure).</li><li>Strong problem-solving, analytical, and communication skills.</li></ul><p><b>Perks &amp; Benefits:</b></p><ul><li>Flexible work location (Remote).</li></ul><p><b>Experience:</b></p><ul><li>O to 2 Years ( Freshers can also apply )</li></ul><p>Job Type: Full-time</p><p>Work Location: Remote</p>

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Machine Learning Engineer</b></h1><div><div><p>
Redmond, Washington, United States</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 29, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1882133</b></div></div></div><div><div><div>
Work site</div><div><b>
Fully on-site</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You&rsquo;ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration&mdash;building solutions that power scenarios from fraud prevention to customer support automation.</div><div>
We&rsquo;re hiring across several focus areas, and your role will align with your expertise and interests:</div><ul><li><b>
Autonomous Agent Development</b> <b>for Risk Decision</b> &ndash; building LLM-based decision-making agents and advancing a multi-agent risk system</li><li><b>
AI Integration &amp; MLOps</b> &ndash; enabling scalable infrastructure, data pipelines, and operational excellence</li><li><b>
Quality &amp; Integration </b>&ndash; focusing on agent behavior testing, UI/UX integration, and platform reliability</li></ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
</li><li>OR equivalent experience.</li></ul></li><li>
3+ years of experience in software engineering, data science, or machine learning</li><li>
2+ years experience with LLMs, prompt engineering, and the OpenAI API</li><li>
2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.</li><li>
Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring</li><li>
Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies</li><li>
Experience debugging skills and a solid understanding of security and data protection principles</li><li>
Ability to communicate technical concepts effectively with both technical and non-technical stakeholders</li><li>
Proficiency in Python for development and scripting</li></ul><div>
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
</div><div>
</div><div>Microsoft will accept applications for the role until October 13th, 2025</div><div><b><br>
Other Requirements
</b></div><div>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><div>
As a machine learning engineer, you will:</div><ul><li>
Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.</li><li>
Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.</li><li>
Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.</li><li>
Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring</li><li>
Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases</li><li>
Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems</li><li> best practices in security, compliance, and privacy to all aspects of agent development</li><li>
Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Steel City Electric

<p><b>Job Overview</b><br/>We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models that drive our data-driven decision-making processes. You will work closely with data scientists, software engineers, and other stakeholders to implement advanced algorithms and optimize performance across various applications. Your expertise in machine learning frameworks and big data technologies will be crucial in transforming complex datasets into actionable insights.</p><p><b>Duties</b></p><ul><li>Design and implement machine learning models for various applications including natural language processing and predictive analytics.</li><li>Collaborate with cross-functional teams to gather requirements and define project objectives.</li><li>Conduct data mining and preprocessing to prepare datasets for model training.</li><li>Utilize cloud platforms such as AWS for deploying machine learning solutions.</li><li>Develop ETL processes to ensure efficient data flow from source systems to analytical environments.</li><li>Implement model training techniques using frameworks like TensorFlow, Spark, and R.</li><li>Optimize algorithms for performance improvements and scalability in big data environments.</li><li>Engage in continuous learning to stay updated on the latest advancements in AI and machine learning technologies.</li><li>Document processes, methodologies, and results for internal knowledge sharing.</li></ul><p><b>Skills</b></p><ul><li>Proficiency in programming languages such as Python, Java, C, and SQL.</li><li>Experience with machine learning frameworks including TensorFlow, SAS, and Spark.</li><li>Familiarity with big data technologies such as Hadoop and analytics tools like Looker.</li><li>Knowledge of unsupervised learning techniques and model deployment strategies.</li><li>Understanding of database design principles and experience with linked data concepts.</li><li>Strong analytical skills with the ability to perform data mining using tools like Talend.</li><li>Experience with quantum engineering concepts is a plus.</li><li>Proficient in Bash (Unix shell) scripting for automation tasks.</li><li>Excellent problem-solving abilities and a passion for innovation in AI applications. Join us as we push the boundaries of technology through machine learning solutions that make a difference!</li></ul><p>Job Type: Full-time</p><p>Pay: $130,000.00 - $145,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Experience:</p><ul><li>Data science: 2 years (Required)</li><li>Machine learning: 2 years (Required)</li></ul><p>Work Location: Remote</p>

Confiz

<div>
 We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.
  </li>
  <li>
   Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.
  </li>
  <li>
   Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.
  </li>
  <li>
   Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.
  </li>
  <li>
   Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 3 years of professional experience in machine learning and AI engineering.
  </li>
  <li>
   Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.
  </li>
  <li>
   Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.
  </li>
  <li>
   Solid background in data science principles, including data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.
  </li>
  <li>
   Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.
  </li>
  <li>
   Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.
  </li>
  <li>
   Experience working in an Agile or iterative development environment is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.
 <br/>
 <br/>
 What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 <br/>
 <br/>
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 <br/>
 <br/>
 To know more about Confiz, visit: https://www.linkedin.com/company/confiz/
</div>


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