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numi

<div>
 
 
 Senior Software Engineer
 
 
 
 📍
 
 Location:
 
 Dubai, UAE
 
 
 
 About the Role:
 
 
 
 Do you want to spearhead engineering projects to help reduce the planets carbon emissions through cutting edge technology?
 
 
 
 
 
 We&rsquo;re seeking a
 
 Senior Software Engineer
 
 to develop and optimize high-performance applications, drive architectural decisions, and lead complex projects. In this role, you'll collaborate with cross-functional teams, mentor junior developers, and contribute to the evolution of our technology stack.
 
 
 
 Key Responsibilities:
 
 
 
 🔹
 
 Software Development &amp; Architecture
 
 
 <ul>
 <li>
 Design and build
 
 scalable, secure applications
 
 using modern technologies.
 </li>
 <li>
 Write clean, maintainable code and troubleshoot technical challenges.
 </li>
 <li>
 Define
 
 software architecture
 
 and implement best practices for long-term maintainability.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Lead technical discussions and decision-making within the team.
 </li>
 <li>
 Conduct code reviews and provide guidance to junior developers.
 </li>
 <li>
 Work closely with stakeholders to translate business needs into technical solutions
 </li>
 </ul>
 
 
 
 
 🔹
 
 AI &amp; Machine Learning Integration
 
 
 <ul>
 <li>
 Work with
 
 ML frameworks (TensorFlow, PyTorch, scikit-learn)
 
 to build and deploy AI models.
 </li>
 <li>
 Integrate ML/AI solutions into production environments.
 </li>
 <li>
 Leverage
 
 cloud-based AI/ML tools (AWS SageMaker, Google AI, Azure ML)
 
 for scalable deployments.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Cloud &amp; DevOps
 
 
 <ul>
 <li>
 Set up
 
 CI/CD pipelines
 
 for seamless, automated deployments.
 </li>
 <li>
 Deploy applications on
 
 cloud platforms (AWS, Azure, GCP)
 
 using
 
 Docker, Kubernetes
 
 .
 </li>
 <li>
 Optimize system performance, security, and reliability.
 </li>
 </ul>
 
 
 
 
 
 What You Bring:
 
 
 
 ✔
 
 8+ years
 
 of experience in software development with a strong track record.
 
 
 ✔ Expertise in
 
 Java, C#, Python, or JavaScript
 
 and related frameworks.
 
 
 ✔ Hands-on experience with
 
 microservices, cloud platforms (AWS, Azure, GCP), and DevOps tools
 
 .
 
 
 ✔ Knowledge of
 
 databases (SQL, MongoDB, Redis)
 
 and scalable system design.
 
 
 ✔ Experience with
 
 ML/AI model development, deployment, and cloud-based AI services
 
 .
 
 
 ✔ Strong analytical, problem-solving, and leadership skills.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 🌍 Work on cutting-edge technology with real-world impact.
 
 
 🚀 Be part of an innovative, high-growth environment.
 
 
 ✈ Travel opportunities &amp; global collaboration.
 
 
 📈 Career development &amp; continuous learning.
 
</div>

Senior Software Engineer

fospe

<div><div><h4 class="jobSectionHeader">Job Description</h4>
We are looking for a Junior Software Engineer who is passionate about coding and eager to grow in the fields of Python and AI. This role is ideal for fresh graduates or professionals with up to 2 years of experience.
<h4 class="jobSectionHeader">Key Responsibilities</h4>
<ul><li>Develop and maintain applications using Python</li>
<li>Assist in building and integrating AI/ML-based features</li>
<li>Write clean, efficient, and well-documented code</li>
<li>Debug, test, and optimize applications</li>
<li>Collaborate with senior developers and cross-functional teams</li>
<li>Stay updated with emerging technologies and best practices</li>
</ul><h4 class="jobSectionHeader">Required Skills</h4>
<ul><li>Strong knowledge of Python</li>
<li>Basic understanding of AI / Machine Learning concepts</li>
<li>Good problem-solving and logical thinking skills</li>
<li>Familiarity with coding best practices</li>
<li>Willingness to learn and adapt quickly</li>
</ul><h4 class="jobSectionHeader">Eligibility</h4>
<ul><li>Freshers or candidates with maximum 2 years of experience</li>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (preferred)</li>
<li>Good communication skills</li>
</ul><h4 class="jobSectionHeader">What We Offer</h4>
<ul><li>salary package 5000 AED &ndash; 7500 AED</li>
<li>Hybrid working environment</li>
<li>Learning and career growth opportunities</li>
<li>Supportive and collaborative team</li>
</ul>
Important Notes
<ul><li>No phone calls will be conducted for interviews.</li>
<li>Please do not make direct phone calls to the company regarding this position.</li>
<li>All communication will be conducted via LinkedIn or email only.</li>
<li>No direct office visits are allowed. Office visits are permitted only after an interview and with prior appointment, strictly.</li>
</ul>
How to Apply: 
Apply via LinkedIn only:
https://rb.gy/fb6dir
</div>
<div><div><div><div>Job Category: Software
</div><div>Job Type: Full Time
</div><div>Job Location: Dubai</div></div></div></div></div>

Junior Software Engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
We are looking for an Sr. AI Engineer to join our GenAI Squad, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
Responsibilities<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.</li><li>
Designing and implementing effective and impactful machine learning and generative AI systems in production.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of working, our tooling, and our internal training programs.</li></ul> 
Qualifications 
Requirements
Technical Experience<ul><li>
Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.</li><li>
Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).</li><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>
Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
5+ years of experience working in data science, machine learning, and Gen AI.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator, and communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Sr. AI Engineer

Careem

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div>

About the team

The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale by building AI models to optimize user experiences, decision-making, and operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region while innovating on our user experience using GenAI.

What you'll do
<ul>
<li>Collaborate in building a long-term vision of how we can rethink GenAI at Careem</li>
<li>Drive exploratory analysis to understand the ecosystem and user behavior; identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements using GenAI</li>
<li>Shape and influence models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.</li>
<li>Provide product leadership by sharing data-based recommendations to communicate the state of business, the root cause of change in metrics, and experimentation results, influencing product and business decisions</li>
<li>Implement a scalable machine learning GenAI solution that will be used in production on big data.</li>
<li>Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.</li>
<li>You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.</li>
<li>Build and deploy retrieval augmented generation systems and other applications of large language models.</li>
<li>Collaborate with cross-functional teams, including data scientists, product managers, and domain experts, to deliver AI-driven solutions.</li>
</ul>
What you'll need
<ul>
<li>4-6 years of experience in machine learning, software engineering, Big Data methodologies, transformation, and cleaning of both structured and unstructured data.</li>
<li>Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineerin,g or Computer Science.</li>
<li>Strong understanding of transformer architectures, attention mechanisms, and recent advancements in Large Language Models (LLMs)</li>
<li>Experience with advanced prompting techniques, including Chain of Thought (CoT) prompting, in-context learning, and few-shot learning.</li>
<li>Proficiency in using LangChain and LangChain Expression Language (LCEL) for building complex pipelines and workflows with LLMs.</li>
<li>Experience in developing observable LLM-powered compound systems through tracing to monitor performance and behavior in production environments.</li>
<li>Experience with one of the following machine learning frameworks: PyTorch or TensorFlow.</li>
<li>Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and optimizing model performance using techniques like mixed-precision training, gradient checkpointing, and model parallelism would be advantageous.</li>
<li>Experience with sequence-to-sequence models, self-supervised learning techniques, and understanding NLP concepts such as tokenization, parsing, and semantic analysis.</li>
<li>Proficiency in creating scalable and maintainable APIs using FastAPI or similar frameworks.</li>
<li>Strong understanding of good software engineering practices, including code versioning (e.g., Git), CI/CD pipelines, and automated testing.</li>
<li>Experience with both SQL and NoSQL databases for managing training data and model artifacts.</li>
<li>Proficiency in Python, SQL, and familiarity with data processing frameworks like Spark and Hive.</li>
<li>Knowledge of classic ML and DL</li></ul></div></div>

Senior AI Engineer II

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
Responsibilities<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.</li><li>
Designing and implementing effective and impactful machine learning and generative AI systems in production.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of working, our tooling, and our internal training programs.</li></ul> 
Qualifications 
Requirements
Technical Experience<ul><li>
Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.</li><li>
Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).</li><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>
Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
4+ years of experience working in data science, machine learning, and Gen AI.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Sr. Data Scientist, Algorithms

DICETEK LLC

<div>We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions&mdash;from data ingestion and model training to deployment and monitoring&mdash;with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.
Experience
7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects. 
Technical Skills<ul><li>Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch.</li><li>Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift).</li><li>Familiarity with GPU acceleration (e.g., NVIDIA CUDA).</li><li>Exposure to MLOps tools for continuous integration and deployment.</li><li>Strong understanding of data engineering concepts (ETL, data pipelines, data preparation).</li><li>Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.</li></ul>
Soft Skills<ul><li>Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions.</li><li>Strong communication and collaboration abilities to work effectively with cross-functional teams.</li><li>Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences.</li></ul></div>

AI Developer

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 4+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Explore 1270+ Machine learning engineer in Dubai this January. Find roles across top companies and apply now to boost your career.

1270 machine learning engineer jobs IN Dubai

Senior Software Engineer

Junior Software Engineer

Sr. AI Engineer

Senior AI Engineer II

Sr. Data Scientist, Algorithms

AI Developer

Sr. Data Scientist, Algorithms