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ai/ml engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Brain Co.
 
 
 
 Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.
 
 
 
 About The Role
 
 
 
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
 </li>
 <li>
 Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
 </li>
 <li>
 Make a Difference: Engage in projects including but not limited to optimizing the worlds most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
 </li>
 <li>
 Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
 </li>
 <li>
 Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
 </li>
 <li>
 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
 <li>
 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
 <li>
 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Can work collaboratively with cross-functional teams.
 </li>
 <li>
 Thrive in fast-paced environments where priorities or deadlines may compete.
 </li>
 <li>
 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary plus equity
 </li>
 <li>
 Daily lunches
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 401(k)
 </li>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 
 
 This is a hybrid role based out of our Dubai office.
 
 
 
 
 Job Details
 
 
 Role Level: Entry-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.brain.co/ Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
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</div>

AI ML Engineer

Zehn Solutions

<div>
 
 
 Position : AI/ML Engineer
 
 
 
 
 Location : Dubai ( work from Office strictly)
 
 
 
 
 Salary : Negotiable on current package
 
 
 
 
 
 
 We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
 
 
 The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 <ul>
 <li>
 &nbsp;Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
 </li>
 <li>
 &nbsp;Managing available resources such as hardware, data, and personnel so that deadlines are met
 </li>
 <li>
 Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
 </li>
 <li>
 Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
 </li>
 <li>
 Verifying data quality, and/or ensuring it via data cleaning
 </li>
 <li>
 Supervising the data acquisition process if more data is needed
 </li>
 <li>
 Finding available datasets online that could be used for training
 </li>
 <li>
 Defining validation strategies
 </li>
 <li>
 Defining the preprocessing or feature engineering to be done on a given dataset
 </li>
 <li>
 Defining data augmentation pipelines
 </li>
 <li>
 Training models and tuning their hyperparameters
 </li>
 <li>
 Analyzing the errors of the model and designing strategies to overcome them
 </li>
 <li>
 Deploying models to production
 </li>
 </ul>
 
 
 
 
 
 Skills :
 
 
 <ul>
 <li>
 Proficiency with a deep learning framework such as TensorFlow or Keras
 </li>
 <li>
 Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
 </li>
 <li>
 Expertise in visualizing and manipulating big datasets
 </li>
 <li>
 Proficiency with OpenCV
 </li>
 <li>
 Familiarity with Linux
 </li>
 <li>
 Ability to select hardware to run an ML model with the required latency
 </li>
 </ul>
</div>

AI/ ML Engineer

Make Fortune Business Solutions

About UsReal Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.What You&rsquo;ll Do (Key Responsibilities)<ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul>Who You Are (Required Skills)<ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul>Nice to Have (Preferred Skills)<ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.What We Offer<ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul>Job Types: Full-time, Temporary, ContractApplication Question(s):<ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

Magic

<div>
 
 
 Department:
 
 Support &amp; Leadership
 
 
 
 Location:
 
 Global+
 
 
 
 Compensation:
 
 $7.00 / hour
 
 
 
 
 Description
 
 
 
 
 About the Client
 
 
 A U.S.-based leader in home inspector training, certification, and business enablement is building a modern, AI-enabled web platform to elevate inspection quality and efficiency. They help aspiring and practicing inspectors launch and grow their businesses with flexible courses, exam prep, and ongoing support. The team is now investing in software that streamlines inspections, ensures compliance, and seamlessly connects issues found to qualified contractors.
 
 
 
 Why does this role exist?
 
 
 The client has an inspection app prototype that&rsquo;s ~80% complete and needs a full‑stack developer to stabilize the product, integrate dependable AI (photo and text analysis), and ship a soft‑launch in four weeks. The role exists to harden architecture, resolve API/webhook integrations, complete multi‑role dashboards, and deliver an explainable, accurate AI pipeline. This hire will own feature delivery, QA, and iterations from launch through early post‑launch improvements.
 
 
 
 The Impact you&rsquo;ll make
 
 
 
 
 Full‑Stack Product Development
 
 <ul>
 <li>
 Build, debug, and polish features across the existing React front end and Node.js back end.
 </li>
 <li>
 Implement and refine role‑based dashboards: inspector, client/homebuyer portal, contractor dashboard, and lead‑generation dashboard.
 </li>
 <li>
 Stabilize and resolve API hooks and third‑party integrations; improve UI/UX responsiveness and reliability.
 </li>
 </ul>
 
 AI/ML Photo &amp; Text Intelligence
 
 <ul>
 <li>
 Integrate computer vision for photo analysis and NLP for inspector remarks to run compliance checks and generate actionable suggestions.
 </li>
 <li>
 Design explainable pipelines with measurable accuracy; reduce false positives/negatives and hallucinations.
 </li>
 <li>
 Set up model serving, monitoring, and iteration workflows using AI tooling.
 </li>
 </ul>
 
 Lead Generation &amp; Contractor Matching
 
 <ul>
 <li>
 Implement the lead‑routing flow that connects inspection issues to appropriate contractors.
 </li>
 <li>
 Build contractor matching logic and operational dashboards; ensure smooth handoff and feedback loops.
 </li>
 <li>
 Instrument metrics to track lead quality, acceptance, and conversion.
 </li>
 </ul>
 
 Quality, Testing, and Release Management
 
 <ul>
 <li>
 Establish test coverage, QA plans, and bug triage to support a reliable soft‑launch and post‑launch hardening.
 </li>
 <li>
 Optimize performance, error handling, and logging; proactively resolve defects.
 </li>
 <li>
 Collaborate on release planning and rollback strategies.
 </li>
 </ul>
 
 DevOps, Architecture, and Collaboration
 
 <ul>
 <li>
 Maintain CI/CD, Git/GitHub workflows, and environment configuration (current dev in Replit; AI‑assisted coding in Cursor).
 </li>
 <li>
 Recommend pragmatic architectural improvements and tradeoffs (e.g., native vs. responsive web).
 </li>
 <li>
 Communicate clearly in Slack, write documentation, and create tickets for iterative work.
 
 
 </li>
 </ul>
 
 Skills, Knowledge and Expertise
 
 
 
 
 Required:
 
 <ul>
 <li>
 3+ years building production web applications with React (front end) and Node.js (back end).
 </li>
 <li>
 Hands‑on integration of AI/ML into applications (computer vision and NLP), including model serving and evaluation.
 </li>
 <li>
 Strong experience with RESTful APIs/webhooks and third‑party service integrations.
 </li>
 <li>
 Practical DevOps and QA skills: Git/GitHub, CI/CD, automated testing, and release management.
 </li>
 <li>
 Excellent English communication and ability to work Monday&ndash;Friday, 9:00 am&ndash;5:00 pm Mountain Time (40 hours/week).
 </li>
 <li>
 WFH Set-Up:
 <ul>
 <li>
 Computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up.
 </li>
 <li>
 Internet speed of at least 40MBPS
 </li>
 <li>
 Headset with an extended mic that has noise cancellation and a webcam
 </li>
 <li>
 Back-up computer and internet connection
 </li>
 <li>
 Quiet, dedicated workspace at home
 </li>
 </ul>
 </li>
 </ul>
 
 Your Superpowers:
 
 <ul>
 <li>
 Technical: React, Node.js, JavaScript/TypeScript, REST/GraphQL APIs, relational/non‑relational databases (e.g., Postgres/MongoDB), cloud deployment, containers, CI/CD, automated testing. Familiarity with Replit, Cursor, and AI tooling (e.g., OpenAI/vision models, vector databases) is a plus.
 </li>
 <li>
 AI/ML: Practical experience building explainable pipelines, evaluating model performance, and reducing hallucinations/false results.
 </li>
 <li>
 Product &amp; Process: Strong debugging instincts, clean architecture mindset, and the ability to turn ambiguous requirements into shippable, maintainable solutions.
 </li>
 <li>
 Communication: Clear written and verbal English, proactive Slack collaboration, and crisp documentation.
 </li>
 </ul>
 
 You should apply if&hellip;
 
 <ul>
 <li>
 You thrive on taking a working prototype to a stable, scalable product within tight timelines.
 </li>
 <li>
 You care about reliability and trust&mdash;especially when AI outputs inform customer decisions and compliance.
 </li>
 <li>
 You&rsquo;re comfortable owning end‑to‑end delivery across front end, back end, AI integration, testing, and DevOps.
 </li>
 <li>
 You make pragmatic tradeoffs, communicate risks early, and iterate quickly based on feedback.
 </li>
 </ul>
 
 What to expect...
 
 
 
 
 
 Work Setup:
 
 <ul>
 <li>
 Remote position
 </li>
 <li>
 Must have a reliable internet connection and a quiet workspace
 </li>
 <li>
 Required to provide own computer with Intel Core i5 or something similar or higher operating system
 </li>
 </ul>
 
 Working Hours:
 
 <ul>
 <li>
 40 hours per week
 </li>
 <li>
 Monday - Friday: 9:00 am - 5:00 pm (Mountain Time)
 </li>
 </ul>
 
 Compensation:
 
 <ul>
 <li>
 $7 per hour
 </li>
 <li>
 No benefits package included
 
 
 </li>
 </ul>
 
 Benefits
 
 
</div>

Full-Stack Software Developer - Freelance, Remote

Scionecx Private Limited

Key Responsibilities&#9679; Design, develop, and deploy machine learning models for blockchain-related applications.&#9679; Work with large datasets to perform data preprocessing, cleaning, and feature engineering.&#9679; Build prediction, classification, anomaly detection, and recommendation systems.&#9679; Optimize models for accuracy, performance, and scalability.&#9679; Collaborate with data engineers and blockchain developers for end-to-end ML pipeline integration.&#9679; Implement model monitoring and retraining strategies for production environments.&#9679; Research and apply latest ML/AI algorithms and techniques to improve business outcomes.&#9679; Document solutions, workflows, and provide technical support to the team.Required Skills &amp; Qualifications&#9679; 3&ndash;5 years of professional experience as an ML Engineer/Developer.&#9679; Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).&#9679; Solid understanding of machine learning algorithms, deep learning, and NLP.&#9679; Experience in data preprocessing, model training, and evaluation.&#9679; Hands-on experience with Pandas, NumPy, and data visualization libraries.&#9679; Familiarity with SQL/NoSQL databases and data pipelines.&#9679; Good knowledge of API development and integration for ML services.&#9679; Strong problem-solving and analytical skills.Good to Have (Preferred)&#9679; Experience with blockchain or Web3 data analytics (on-chain data, anomaly detection, fraud detection).&#9679; Familiarity with cloud ML services (AWS SageMaker, GCP AI, Azure ML).&#9679; Knowledge of MLOps practices (Docker, Kubernetes, CI/CD for ML).&#9679; Exposure to big data platforms (Spark, Hadoop).&#9679; Relevant certifications in ML/AI.Job Type: Full-timePay: AED15,000.00 - AED20,000.00 per monthExperience:<ul><li>TensorFlow, PyTorch, Scikit- Learn: 4 years (Required)</li><li>Spark, Hadoop, Panda, Numpy: 4 years (Required)</li><li>AWS SageMaker, GCP AI, Azure ML: 4 years (Required)</li><li>Docker, Kubernetes, CI/CD for ML: 4 years (Required)</li></ul>License/Certification:<ul><li>Artificial Intelligence &amp; Machine Learning (Required)</li></ul>

Machine Learning Developer

BRIDGEPORT INVESTMENT IN COMMERCIAL ENTERPRISES & MANAGEMENT LLC

We are looking for an experienced AI Engineer &ndash; Team Lead to design, develop, and deploy cutting-edge AI/ML solutions while managing and mentoring a team of engineers. The ideal candidate should have hands-on expertise in AI technologies (NLP, computer vision, predictive modeling), along with proven experience in team leadership, project management, and stakeholder collaboration.Key Responsibilities<ul><li>Lead a team of AI/ML engineers, ensuring high-quality delivery and professional growth.</li><li>Architect, design, and implement AI/ML models for various business use cases.</li><li>Oversee deployment of models into production environments, ensuring scalability and stability.</li><li>Guide the team in data preprocessing, feature engineering, and model optimization.</li><li>Collaborate with product managers, data scientists, and stakeholders to align AI solutions with business goals.</li><li>Conduct regular code reviews, performance evaluations, and knowledge-sharing sessions.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and methodologies.</li><li>Manage project timelines, allocate resources, and ensure delivery within deadlines.</li><li>Ensure compliance with data governance, ethics, and security standards.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>6&ndash;10 years of experience in AI/ML, with at least 2&ndash;3 years in a leadership/team management role.</li><li>Strong knowledge of Python, TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Experience with MLOps practices, cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.</li><li>Solid understanding of NLP, computer vision, deep learning, and big data tools.</li><li>Proven ability to lead teams, manage projects, and mentor junior engineers.</li><li>Excellent communication skills in English; Arabic is a plus.</li></ul>Compensation &amp; Benefits<ul><li>Salary: AED 18,000 &ndash; 25,000 (depending on experience).</li><li>Performance-based bonuses and incentives.</li><li>Medical insurance and benefits as per UAE labor law.</li><li>Career progression into Head of AI / Data Science leadership roles.</li></ul>Job Type: Full-timePay: AED15,000.00 - AED25,000.00 per monthLocation:<ul><li>Dubai (Required)</li></ul>

AI Engineer Lead

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