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machine learning engineer

Lucidya

<div>The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.
Requirements
<ul><li>Design and optimize machine learning algorithms for specific applications.
</li><li>Manage and preprocess large datasets to extract relevant features for training AI models.</li>
<li>Train machine learning models and evaluate their performance through testing.</li>
<li>Use programming languages (e.g., Python, Java) for AI development.</li>
<li>Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.</li>
<li>Analyze complex problems and propose innovative AI solutions to address business challenges.</li>
<li>Stay updated on the latest advancements in AI and integrate new technologies into existing systems.</li>
<li>Ensure AI applications comply with ethical standards and legal regulations.</li>
<li>Prepare comprehensive documentation for algorithms, models, and processes.</li>
<li>Engage in ongoing learning to stay abreast of emerging technologies and industry trends.</li>
<li>Assist in deploying AI models into production environments, ensuring scalability and efficiency.</li></ul></div>

AI Engineer (Saudi Only)

SALLA

<div>Salla is on the lookout for a talented Senior MLOps Engineer to help streamline our machine learning lifecycle by implementing best practices and innovative solutions. In this role, you will work closely with data scientists, software engineers, and stakeholders to deploy robust machine learning models and maintain efficient operations.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Design, build, and maintain scalable MLOps pipelines that foster collaboration between data scientists and engineering teams.</li>
<li>Implement and manage workflows for model training, validation, deployment, and monitoring.</li>
<li>Utilize cloud-based platforms (AWS, GCP, or Azure) to provision and manage machine learning resources.</li>
<li>Develop tools and frameworks that assist in continuous integration and deployment of machine learning models.</li>
<li>Collaborate with data scientists to understand model requirements and assist in feature engineering and selection.</li>
<li>Monitor model performance in production, identify issues, and provide recommendations for model optimization.</li>
<li>Establish best practices for versioning, testing, and documenting machine learning models.</li>
<li>Stay updated with the latest developments in MLOps tools and methodologies.</li>
<li>Strong communication skills to relay technical concepts to non-technical stakeholders.</li>
<li>Excellent problem-solving skills and a proactive approach to addressing challenges.</li>
</ul>Requirements<ul>
<li>A minimum of 5 years of experience in software engineering or DevOps with a focus on machine learning operations.</li>
<li>Strong proficiency in programming languages such as Python and familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.).</li>
<li>Experience with cloud-based platforms like AWS, GCP, or Azure and their machine learning services.</li>
<li>Hands-on experience with CI/CD processes specific to machine learning applications.</li>
<li>Professional Experience tools such as Docker and Kubernetes.</li>
<li>Strong understanding of database technologies (SQL and NoSQL) and data pipeline tools.</li>
<li>Experience with monitoring tools and practices for ML models in production.</li>
<li>Ability to work collaboratively in a cross-functional team environment.</li>
</ul>Benefits<ul>
<li>Comprehensive Training &amp; Development programs.</li>
<li>Performance-based Bonus incentives.</li>
<li>Flexible Work From Home options.</li></ul></div>

Senior MLOps Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

<div>We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.
You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul>Requirements<ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

Generative AI Engineer (Saudi-based only)

<div>The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:<ul>
<li>Designing and implementing ETL processes to move and transform data from various sources.</li>
<li>Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.</li>
<li>Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.</li>
<li>Ensuring data quality and integrity throughout the data lifecycle.</li>
<li>Optimizing data storage and retrieval processes for performance and scalability.</li>
<li>Documenting data flows, transformations, and any changes to data architecture.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience in a Data Engineer or similar role.</li>
<li>Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).</li>
<li>Proficient in programming languages such as Python, Java, or Scala.</li>
<li>Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).</li>
<li>Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.</li>
<li>Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.</li>
<li>Strong attention to detail and ability to ensure data accuracy and consistency.</li>
<li>Excellent communication skills and ability to work collaboratively with cross-functional teams.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role&mdash;it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

Data Engineer (Saudi-based only)

Salla

<div>
 As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions. Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead complex data science projects from conception to deployment, focusing on business impact and scalability
 </li>
 <li>
 Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices
 </li>
 <li>
 Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions
 </li>
 <li>
 Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data
 </li>
 <li>
 Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics
 </li>
 <li>
 Communicate findings, insights, and recommendations to both technical and non-technical audiences
 </li>
 <li>
 Ensure code quality and maintainability by promoting best practices in software development
 </li>
 <li>
 Ability to work in a fast-paced environment and manage multiple projects simultaneously
 </li>
 <li>
 Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 6+ years of experience in data science, with a proven track record of leading projects and teams
 </li>
 <li>
 Extensive experience in building and deploying machine learning models in production environments
 </li>
 <li>
 Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop)
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data mining techniques
 </li>
 <li>
 Experience in mentoring and developing team members
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and computer vision
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Lead Data Scientist

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