senior data engineer

data analyst

data engineer

senior data analyst

senior data scientist

data scientist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs and lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor's in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country, with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in a fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div><div></div>

Sports Scientist and Data Analyst

Cerebras Systems

<div><div><h2 class="jobSectionHeader">Location</h2>
UAE
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Department</h2>
Software</div></div>
 <div><div>Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
 
 
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
 
 
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives.
We are looking for experienced AI Scientists who are passionate about the &quot;applied&quot; side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems.
The ideal candidate has experience in large model training and/or post-training, a deep understanding of training dynamics and model convergence, and expertise in data curation, combined with strong communication skills.
Key Responsibilities
<ul><li>Customer Use Case Discovery &amp; Project Scoping
<ul><li>Collaborate with customer stakeholders to identify the best approaches to their business problem with AI.
</li><li>Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures.
</li><li>Define project milestones, success metrics, and rigorous evaluation benchmarks to ensure the solution delivers measurable value to the customer&rsquo;s business.
</li></ul></li><li>Custom SOTA Models and AI Systems Development
<ul><li>Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements.
</li><li>Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO.
</li><li>Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis.
</li><li>Navigate the nuances of model convergence on specialized hardware, performing deep-dive analysis into loss dynamics and gradient stability.
</li><li>Scale training workloads across Cerebras clusters, ensuring efficient utilization of the hardware for multi-billion parameter models.
</li><li>Build and optimize the core components of agentic systems, focusing on tool-use capabilities, long-context reasoning, and multi-step planning.
</li></ul></li><li>Technical Customer Leadership
<ul><li>Serve as an AI/ML subject matter expert during technical deep-dives, translating customer requirements into precise training recipes.
</li><li>Build and maintain strong customer relationships to become their go-to AI/ML expert.
</li></ul></li><li>Internal Research and Engineering Collaboration
<ul><li>Act as the &quot;voice of the customer&quot; for internal R&amp;D and engineering teams to drive improvements in our software stack and hardware utilization.
</li><li>Partner with internal ML teams and product teams on prioritization of novel model architectures with Cerebras software stack, development of training recipes and internal case studies.
</li><li>Distill customer-facing successful projects into internal playbooks, helping scale the FieldML team&rsquo;s ability to deliver specialized models.
</li></ul></li></ul>Skills And Qualifications
<ul><li>Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, or related fields.
</li><li>Broad Deep Learning Expertise: Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics.
</li><li>Hands-on Trainig Experience: Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training.
</li><li>Engineering Proficiency: Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools.
</li><li>Strong Interpersonal and Communication Skills: Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve. Able to present complex technical results to diverse audience - from C-level executives to research scientists, and to work collaboratively to solve customers&rsquo; unique challenges.
</li></ul>Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we&rsquo;ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
<div><ul><li>Build a breakthrough AI platform beyond the constraints of the GPU.
</li></ul><ul><li>Publish and open source their cutting-edge AI research.
</li></ul><ul><li>Work on one of the fastest AI supercomputers in the world.
</li></ul><ul><li>Enjoy job stability with startup vitality.
</li></ul><ul><li>Our simple, non-corporate work culture that respects individual beliefs.</li></ul></div> 

Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.</div></div>

Applied AI/ML Scientist

International Center for Biosaline Agriculture (ICBA)

<div>
 
 
 Job Summary
 
 
 
 ICBA is looking for a dynamic and results oriented Scientist &ndash; Integrated crop livestock systems , who will be a member of the Crop Diversification and Genetics (CDG) section and a team member of the Directorate of Program, leading integrated crop, forage, livestock and farming systems related research and development activities and projects across the directorate's two sections, CDG and Sustainable Natural Resources Management (SNRM).
 
 
 His/her major role will be to attract research support through external funding by developing attractive project proposals and liaising with donors to secure potential financial support. The farming systems scientist will conduct applied research to select conventional and alternative food and feed crops adapted to environments with excessive salt, heat, and drought stress to support integrated crop -livestock production systems, feed systems and range land management, and will help external projects as required. The systems scientist will participate in developing technology packages, including the best crop &ndash; forage management systems and operations that optimize nutrient use in arid and arid-saline soils and saline water resources. The incumbent will lead ICBA at various forums as needed to represent the center at national and international levels.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Strategic planning, designing and implementing advanced integrated crop -livestock, forage and range land farming systems strategies focused on optimizing crop, forage and livestock productivity in arid, saline, and stress-prone areas within the mandate of ICBA.
 </li>
 <li>
 Identify funding opportunities and lead the preparation of projects and proposals for submission including preparing the technical and financial components as well as identifying and liaising with potential national, regional and international partners.
 </li>
 <li>
 Leading systems research initiatives, conducting field and feed trials, and analyzing data to evaluate new food and fodder crop varieties and optimize crop- livestock interactions, and agronomic practices.
 </li>
 <li>
 Lead research on fodder and rangeland crops in arid and saline environments to support the livestock feed systems, climate resilient livestock production.
 </li>
 <li>
 Develop strategic partnerships with national, regional, and international organizations working on food, fodder and livestock systems
 </li>
 <li>
 Utilizing precision agriculture technologies and statistical methods to analyze field data, interpret results, and provide actionable insights and reports to program leaders, the Chief Scientist, and the management.
 </li>
 <li>
 Training, mentoring, and supporting junior field staff, students, and interns, fostering a culture of continuous improvement and knowledge sharing.
 </li>
 <li>
 Collaborating with cross-functional teams, farmers, and industry partners to translate research findings into practical applications and ensure compliance with environmental and safety standards.
 </li>
 <li>
 Interact and associate with other research programs for multidisciplinary research activities and participate as a team player in developing technical reports, extension materials, and publications in refereed journals.
 </li>
 <li>
 Assess the productivity, profitability, sustainability and environmental impacts of integrated crop-livestock systems using appropriate biophysical and socioeconomic indicators.
 </li>
 <li>
 Participate as needed and contribute to training programs, conferences, forums, media, ICBA publications and other appropriate fora as and when required to present ICBA innovations and increase its visibility.
 </li>
 <li>
 Perform other tasks assigned by the supervisor and management as per the requirements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 PhD in Agronomy, Agricultural Systems, Forage agronomy subject from a recognized University
 </li>
 <li>
 At least 5 years of post-PhD international work experience in integrated crop-livestock systems, cropping and farming systems, or related research Proven publication record in refereed journals
 </li>
 <li>
 Proven ability to initiate, conduct, and publish research and to obtain external grant funding
 </li>
 <li>
 Team player to work in a multi-cultural environment
 </li>
 <li>
 Fluency in written and spoken English, and well-developed presentation, negotiation and public speaking skills.
 </li>
 <li>
 Experience in statistics and database management
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Experience in crop, forage and farming systems modeling
 </li>
 <li>
 Experience on fodder, rangeland cropping and livestock feed system in water scarce environments
 </li>
 <li>
 Additional language skills like Arabic are highly desirable
 </li>
 <li>
 Experience in resource mobilization, project management or development projects.
 </li>
 <li>
 Experience working with national agricultural research systems or development agencies.
 </li>
 </ul>
 
 
 
</div>

Scientist – Integrated Crop and Livestock Systems

Sundus

<div>
 
 Job Code
 
 : JPC - 6153
 
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Al Sajaa, UAE
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Role Purpose
 
 
 
 The Data Analyst will work closely with the VP of HSEQ to transform complex operational, health, safety, environmental, and quality (HSEQ) data into actionable insights. This role is responsible for managing corporate KPIs, coordinating data across multiple departments, and developing high-quality executive presentations and reports to support strategic decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, validate, clean, and analyze HSEQ performance data from multiple departments.
 </li>
 <li>
 Identify trends, anomalies, and opportunities for operational improvement.
 </li>
 <li>
 Ensure data accuracy, consistency, and integrity across all reporting activities.
 </li>
 <li>
 Develop professional, executive-level PowerPoint presentations for the VP of HSEQ.
 </li>
 <li>
 Convert complex data into visually compelling charts, dashboards, and presentations.
 </li>
 <li>
 Prepare reports and presentation materials for senior management meetings and stakeholder reviews.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Engineering, Statistics, Information Systems, Data Analytics, or a related discipline.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 2 4 years of experience as a Data Analyst, Business Analyst, Project Coordinator, PMO Analyst, or Executive Assistant supporting senior management.
 </li>
 <li>
 Previous experience in HSEQ, manufacturing, industrial, engineering, construction, or related sectors is an advantage.
 </li>
 <li>
 Experience supporting senior executives with reporting and presentation preparation is highly preferred.
 </li>
 </ul>
</div>

Data Analyst

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (Chlamydotis undulata) and Asia (Chlamydotis macqueenii).
 
 
 
 
 
 To achieve these goals, RENECO has developed a multidisciplinary approach within different centers in Morocco, Central Asia, and the Arabian Peninsula by combining fundamental and applied research.
 
 
 
 
 
 To cope with the expansion of its activities and due to the development of new conservation projects, RENECO is opening new positions, giving a unique opportunity to be part of an ambitious conservation program.
 
 
 
 
 
 Reneco International Wildlife Consultants is seeking an
 
 AI &amp; Data Workflow Specialist
 
 to support the development and optimization of advanced data processing workflows across the organization.
 
 
 
 
 
 Working under the functional supervision of the Senior Database Manager, you will contribute to the integration of artificial intelligence, advanced analytics, and automation into our business processes. This role combines AI technologies, data science, workflow optimization, and user support to improve operational efficiency and enhance data-driven decision-making across conservation, ecology, veterinary, laboratory, and research activities.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyse existing business data workflows and integrate advanced AI and data processing solutions.
 </li>
 <li>
 Identify opportunities to optimize workflows by implementing cost-effective and innovative technologies.
 </li>
 <li>
 Monitor emerging AI technologies and recommend practical solutions aligned with business needs.
 </li>
 <li>
 Develop and maintain technical documentation, user guides, and activity reports.
 </li>
 <li>
 Deliver user training and provide ongoing support on AI tools, their capabilities, limitations, and business applications.
 </li>
 <li>
 Coordinate technical activities with external service providers and technology partners.
 </li>
 <li>
 Support the implementation of AI-driven solutions across multiple operational domains.
 </li>
 <li>
 Participate in international missions as required.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master's degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, or a related field.
 </li>
 <li>
 Previous professional experience in AI, advanced data analysis, or a related technical role.
 </li>
 <li>
 Strong knowledge of AI technologies, including machine learning, automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
 </li>
 <li>
 Proficiency in Python and R for data processing, analytics, and AI development.
 </li>
 <li>
 Experience working with SQL Server and T-SQL.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to improve complex business processes.
 </li>
 <li>
 Interest in applying AI solutions to scientific and operational environments such as conservation, ecology, laboratory, and veterinary activities.
 </li>
 <li>
 Ability to work independently while collaborating effectively with multidisciplinary teams.
 </li>
 <li>
 Willingness to travel internationally when required.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Business Intelligence platforms, preferably Tableau.
 </li>
 <li>
 Basic knowledge of system and network administration (Active Directory, IP, DNS).
 </li>
 <li>
 Familiarity with GIS software, particularly Esri ArcGIS Pro.
 </li>
 <li>
 Fluency in English is required.
 </li>
 <li>
 French, Arabic, Russian, Kazakh, or Uzbek language skills are considered an advantage.
 </li>
 </ul>
 
 
 
</div>

AI & Data Analysis Specialist

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda&rsquo;s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
 
 
 
 The Opportunity:
 
 
 
 As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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>

Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Samana Group of Companies

AI / ML Development<ul><li>Design, build, and deploy machine learning models for real estate use cases - lead scoring, demand forecasting, churn detection and organic growth</li><li>Develop and fine-tune Large Language Models (LLMs) for property FAQ, document processing and customer communication</li><li>Build AI agents that automate CRM workflows, follow-ups and post-sales processes end-to-end</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines over property listings, legal documents, and market reports</li></ul>Data &amp; Modelling<ul><li>Work with structured and unstructured real estate data &mdash; transaction records, listing databases, CRM and market feeds</li><li>Build and maintain feature engineering pipelines: conduct exploratory data analysis and model evaluation</li><li>Collaborate with data engineers to ensure clean, reliable data flows into model training and inference</li></ul>MLOps &amp; Automation<ul><li>Manage the full ML lifecycle: experimentation, versioning, deployment, monitoring, and retraining</li><li>Build and maintain automation pipelines using workflow tools such as n8n, Zapier or custom orchestration frameworks</li><li>Ensure models are deployed reliably with observability, alerting, and rollback mechanisms in place</li></ul>Collaboration &amp; Innovation<ul><li>Partner with product managers, operations and CRM teams to translate business problems into AI solutions</li><li>Stay up to date on AI/ML research and evaluate emerging tools, models and frameworks relevant to Property Tech</li><li>Document architectures, experiments and deployment processes clearly for cross-functional teams</li></ul>Required SkillsMachine Learning<ul><li>5+ years of hands-on experience building and shipping ML models in production</li><li>Strong foundations in supervised, unsupervised and reinforcement learning</li><li>Experience working with LLMs - prompt engineering, fine-tuning and API integration (OpenAI, Anthropic etc.)</li><li>Familiarity with AI agent frameworks such as LangChain, LlamaIndex, CrewAI or AutoGen</li></ul>MLOps &amp; Cloud<ul><li>Experience with cloud platforms: AWS (SageMaker, Lambda, S3), GCP (Vertex AI) or Azure ML</li><li>Proficiency in MLOps tools: MLflow, Weights &amp; Biases or similar for experiment tracking and model versioning</li><li>Comfort with containerisation (Docker, Kubernetes) and CI/CD pipelines for ML workloads</li><li>Workflow automation experience with tools such as n8n, Apache Airflow etc.</li></ul>Data &amp; Engineering<ul><li>Strong SQL skills: experience with data warehouses (BigQuery, Snowflake or Redshift)</li><li>Familiarity with data pipeline tools (dbt, Spark or Pandas at scale)</li><li>Ability to work with APIs and integrate ML outputs into CRM</li></ul>Machine Learning<ul><li>3+ years of hands-on experience building and shipping ML models in production</li><li>Strong foundations in supervised, unsupervised, and reinforcement learning</li><li>Experience working with LLMs &mdash; prompt engineering, fine-tuning, and API integration (OpenAI, Anthropic, Mistral, etc.)</li><li>Familiarity with AI agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen</li></ul>MLOps &amp; Cloud<ul><li>Experience with cloud platforms: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), or Azure ML</li><li>Proficiency in MLOps tools: MLflow, DVC, Weights &amp; Biases, or similar for experiment tracking and model versioning</li><li>Comfort with containerisation (Docker, Kubernetes) and CI/CD pipelines for ML workloads</li><li>Workflow automation experience with tools such as n8n, Apache Airflow, or Prefect</li></ul>Data &amp; Engineering<ul><li>Strong SQL skills; experience with data warehouses (BigQuery, Snowflake, or Redshift)</li><li>Familiarity with data pipeline tools (dbt, Spark, or Pandas at scale)</li><li>Ability to work with APIs and integrate ML outputs into CRM, ERP, or product systems</li></ul>Generative &amp; Voice AI<ul><li>Experience with text-to-speech / speech-to-text models (ElevenLabs, Whisper etc.)</li><li>Building voice AI agents or voice-enabled CRM integrations</li><li>Multimodal model experience (vision + text for property image analysis)</li></ul>RAG &amp; Vector Databases<ul><li>Hands-on with vector databases and Building production RAG pipelines_</li></ul>Pay: AED1.00 - AED2.00 per monthWork Location: In person

AI/ML Engineer

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