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>

Machine Learning Engineer

TMC Middle East

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  We are looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and scale machine learning models and infrastructure.
  </li>
  <li>
   Deploy deep learning and generative models into production for public and private sector projects.
  </li>
  <li>
   Collaborate with data scientists, product managers, and stakeholders to deliver AI-driven insights.
  </li>
  <li>
   Optimize ML training and inference for performance, latency, and scalability.
  </li>
  <li>
   Monitor, retrain, and improve deployed ML models.
  </li>
  <li>
   Drive consultation efforts, providing expert guidance to client stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or related field.
  </li>
  <li>
   4+ years of experience in ML engineering, data science, and generative AI.
  </li>
  <li>
   Strong track record of projects across public and private sectors.
  </li>
  <li>
   Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
  </li>
  <li>
   Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama).
  </li>
  <li>
   Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices.
  </li>
  <li>
   Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services.
  </li>
  <li>
   Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science).
  </li>
  <li>
   Familiarity with MLOps practices and automation pipelines.
  </li>
 </ul>
 <p>
 </p>
</div>


Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production engineering workflows.<br>
This is a hands-on technical role focused on building ML models that enhance forecasting, optimization, and operational decision-making across complex oilfield environments. Experience with agent-based or generative AI systems is a bonus, but not a requirement.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Develop and maintain machine learning models tailored to oilfield data and engineering processes.
</p></div><div><p>Work closely with domain experts to understand workflows and identify ML opportunities across production, reservoir, and facility systems.
</p></div><div><p>Build, train, and deploy models for time series prediction, classification, anomaly detection, or clustering using structured and semi-structured data.
</p></div><div><p>Validate model accuracy and performance in real-world operational settings.
</p></div><div><p>Collaborate with software teams to integrate models into DOF platforms or dashboards.
</p></div><div><p>(Optional but valued) Explore the use of LLMs or agentic AI to support technical queries or enhance interaction with data systems.
</p></div><div><p>business trip to Kuwait
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong background in machine learning, data modeling, and applied statistics.
</p></div><div><p>Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
</p></div><div><p>Familiarity with oilfield datasets, including production data, sensor logs, simulation outputs, or engineering inputs.
</p></div><div><p>Understanding of the challenges and context of oil &amp; gas workflows, even if not from direct experience.
</p></div><div><p>Ability to collaborate with geoscientists, production engineers, or field operations teams to co-design effective models.
</p></div></div><p>Nice to have
</p><div><div><p>Experience working with or developing for Digital Oilfield systems (DOF platforms, custom solutions, or commercial tools).
</p></div><div><p>Exposure to cloud platforms such as Azure (preferred) or AWS.
</p></div><div><p>Familiarity with Agentic AI frameworks (LangChain, CrewAI, AutoGen), or LLMs as a support layer in technical environments.
</p></div><div><p>Knowledge of MLOps practices or tools (e.g., MLflow, Airflow, or model deployment pipelines).
</p></div><div><p>Certifications:
</p></div><div><p>Azure Data Engineer or AI Engineer certifications are a plus, especially for roles involving cloud-based deployment.
</p></div><div><p>AWS experience is appreciated but not mandatory
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118738
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>05/11/2025
</p></div><div><p>Req. VR-118738</p></div></div></div><p></p>

Shag Infotech Pvt. Ltd.

<p><b>Job Summary:</b><br/>Shag Infotech is seeking a skilled Machine Learning Engineer to design, build, and deploy AI and machine learning models that drive business and marketing solutions. The role involves working with cross-functional teams to turn complex data into actionable insights and AI-driven tools.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and implement machine learning models and predictive algorithms.</li><li>Collaborate with data scientists and developers to integrate ML models into production.</li><li>Prepare and process large datasets for training and evaluation.</li><li>Optimize model performance and accuracy using best practices.</li><li>Develop AI-driven tools for marketing automation and customer insights.</li><li>Monitor and maintain model performance over time.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>2+ years of experience in machine learning or AI engineering.</li><li>Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Google Cloud, Azure) and model deployment tools.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with NLP, deep learning, or computer vision is a plus.</li></ul><p><b>What We Offer:</b></p><ul><li>Opportunity to work on innovative AI-driven marketing and IT projects.</li><li>Collaborative and learning-focused work environment.</li><li>Competitive salary with performance-based incentives.</li></ul><p><b>Apply now to be part of a dynamic team shaping the future of AI in marketing and IT!</b></p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;306,898.82 - &#8377;727,322.09 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Internet reimbursement</li></ul><p>Work Location: In person</p>

Apple

<div>Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us!<br>
<br>
We are a Hardware tech team focused on cellular modem verification that enhance the cellular modem verification,Triage and release processes behind millions of Apple products. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale.<br>
<br>
<b>Description</b><br>
We are seeking a creative and motivated Machine learning engineer with a strong background in machine learning and automation software development. This role requires integrating different software and hardware solutions to build world-class intelligent automation system to deliver world class Apple products.&quot;,&quot;responsibilities&quot;:&quot;Serve as a founding engineer to shape the project&rsquo;s technical foundation.<br>
Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments<br>
Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks.<br>
Partner with systems, firmware, verification and Automation teams to define workflow applying AI/ML.<br>
Benchmark, adapt, and integrate AI/ML models into existing verification methodology and workflow.<br>
Architect and implement the end-to-end automation solution using AI/ML.<br>
Deploy and support AI tools for engineering teams.<br>
<br>
<b>Preferred Qualifications</b><br>
Demonstrated ability to bring innovative AI research into production systems<br>
Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes<br>
<ul><li>Bachelor's or Master&rsquo;s in Computer Science Engineering is preferred</li></ul><br>
<b>
Minimum Qualifications</b><br>
5 years relevant industry experience<br>
Strong understanding of generative AI models, particularly large language models (LLMs).<br>
Hands-on experience developing AI-powered applications<br>
Proficiency in Python<br>
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Eagle Eye Networks, Inc

<div><p><b>About Eagle Eye Networks:</b><br>
Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility and customizable insights directly to our customers on the Web, Desktop and Mobile.<br>
<br>
<b>Overview:</b><br>
Eagle Eye Networks leverages AI models that handle a variety of use cases. As a Machine Learning Engineer, you are responsible for development of AI models that are efficient, run at scale and handle a huge diversity of data.<br>
<br>
<b>Detailed roles and responsibilities:</b></p><ul><li>
Handle all aspects of data filtering and agglomeration.</li><li>
Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.</li><li>
Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in-house / available open-source repositories to meet problem requirements.</li><li>
Work with data labeling teams to handle annotation metadata for your datasets.</li><li>
Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking.</li></ul><p><b><br>
Experience:</b> 2-4 Years</p><p><br>
Desired Skills:</p><ul><li>
Bachelors or Masters Degree in Computer Science or related disciplines.</li><li>
At least 1 year of experience with LLMs/VLMs including their architecture, training, datasets, and knowledge of SOTA models and frameworks to leverage these models.</li><li>
Strong theoretical and prior experience of CNNs and Transformers including their usage in at least one successful product deployment</li><li>
Fluency in Python Programming.</li><li>
Working knowledge of C/C++ desirable.</li><li>
Familiarity with ML Frameworks like Pytorch, TensorFlow etc.</li><li>
Familiarity with MLOps, including Model Quantization, usage of annotation tools and model versioning tools like MLFlow.</li><li>
Strong background in Mathematics and Statistics.</li><li>
Sharp problem solving skills and ability to resolve ambiguous requirements.</li><li>
Familiarity with Dockers.</li></ul><p><br>
Eagle Eye Engineering:<br>
<i>Our engineering teams take products from ideation through development and deployment. Businesses all over the world trust us to operate in real time as our solutions gather, process, view and add insight to petabytes of real time video all hosted in our own secure data centers.. No matter if you wish to develop lightweight microservices, ground breaking AI or delightful web or mobile user experiences, we have a challenge for you.</i></p><br>
<p>
</p><p>XlGNcZueu2</p></div>

Haleon

<div><div>This is an excellent opportunity for a Machine Learning Engineer to provide key contribution to a strategic digital programme expected to transform the integrated business planning process in Haleon. The successful candidate will lead the deployment of machine learning solutions that will transform our integrated business planning process. In this role, you will be responsible for designing and implementing end-to-end machine learning pipelines for various applications.</div><div>
Key Responsibilities of the role</div><ul><li>
deploy AIML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance).</li><li>
Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates.</li><li>
Implement ML engineering best practices, such as coding standards, code reviews, and automated testing.</li><li>
Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components.</li><li>
Can coordinate and manage competing priorities across a portfolio of projects..</li><li>
proven collaboration skills, comfortable working with ambiguity, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders.</li></ul><div>
People and Team responsibilities</div><ul><li>
Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility.</li><li>
Contribute to the development of our Team&rsquo;s ML engineering standards of reusable DS, ML, and AI assets.</li><li>
Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence.</li></ul><div>
Necessary Qualifications &amp; Skills</div><ul><li>
BSc or MSc degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.</li><li>
2-3 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets using ML, MLOps, Azure, Python and DevOps concepts</li><li>
Understanding of ML engineering best practices.</li><li>
collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs.</li><li>
Experience with deploying machine learning solutions on enterprise infrastructure.</li><li>
Good programming skills in Python or similar programming languages..</li><li>
Ability to manage competing priorities across a portfolio of projects.</li></ul><div>
Highly desirable Qualifications &amp; Skills</div><ul><li>
Experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP.</li><li>
Experience with containerization and orchestration tools, such as Docker and Kubernetes.</li><li>
Understanding of software engineering principles, such as modular design, clean code, and testing.</li><li>
Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform.</li><li>
Good problem-solving skills and the ability to debug complex issues in production environments.</li><li>
Good communication skills and the ability to collaborate with cross-functional teams.</li><li>
Familiarity with monitoring and logging tools, such as Grafana, Prometheus, and ELK Stack.</li><li>
Knowledge of security best practices in machine learning engineering.</li></ul><div>
Care to join us. Find out what life at Haleon is really like www.haleon.com/careers/<br>
<br>
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.<br>
<br>
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.<br>
<br>
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.</div><div></div><div>
Accommodation Requests</div><div></div><div>
If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We&rsquo;ll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.</div></div>

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