ai software engineer

ai/ml specialists (data scientists/ ml engineer) Jobs in Manama

ai/ml specialists (data scientists/ ml engineer)

artificial intelligence engineer Jobs in Manama

artificial intelligence engineer

software engineer - data infrastructure Jobs in Manama

software engineer - data infrastructure

ai ml specialists data scientists ml engineer

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engineer) (On-Site) for our Bahrain operations with the following skillsets and terms &amp; conditions:
Years of Experience: 7 &ndash; 10 years
Qualification
Bachelor&rsquo;s Degree in Computer Science / Engineering 
Preferably BE Computer Science &amp; Engineering
Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services. 
Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable. 
Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.
Must-Have:<ul><li>Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul>
Experience required:
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms. 
Experience with model evaluation and performance metrics.
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering. 
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management. 
Ability to communicate insights and build explainable AI models. 
Joining time frame: (15 - 30 days)</div>

AI/ML Specialists (Data Scientists/ ML Engineer)

nineDots.io

<div>
 
 
 Full-Stack Engineer (Recommendation Systems)
 
 
 
 AI Product - Applied Machine Learning - Global Enterprise Impact
 
 
 
 
 
 Join a scaling AI company working at the intersection of enterprise transformation and applied machine learning. You will help build the recommendation backbone behind an AI agent used by Fortune 500 clients across multiple industries. This is a hands-on engineering role focused on real product impact, ML integration, and user-level personalisation.
 
 
 
 
 
 
 The Role
 
 
 
 As a Full-Stack Engineer focused on recommendation systems, you will work across product, engineering, and machine learning teams to design and deliver personalised user experiences inside a platform used at scale. This role blends core full-stack engineering with practical ML integration and a strong focus on secure, compliant delivery.
 
 
 
 
 
 You will work with modern frameworks, build end-to-end features, and optimise algorithms that power coaching, insights, and behaviour change across global organisations.
 
 
 
 
 
 
 What You Will Be Doing
 
 
 <ul>
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 Building and improving recommendation algorithms that deliver personalised coaching and insights.
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 Developing secure and responsive interfaces using Next.js and React.
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 Creating scalable backend services and APIs using Node.js and Python.
 </li>
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 Integrating machine learning and LLM-driven models into production systems.
 </li>
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 Supporting compliance across SOC 2, ISO 27001, and ISO 27018.
 </li>
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 Working with product and ML teams to convert data signals into user-facing features.
 </li>
 <li>
 Continuously improving model accuracy and feature performance at scale.
 </li>
 <li>
 Supporting platform growth and enterprise-level usage through scalable architecture.
 </li>
 </ul>
 
 
 
 
 
 What You Need To Succeed
 
 
 <ul>
 <li>
 Strong experience in full-stack development.
 </li>
 <li>
 Proficiency in Next.js, React, Node.js, and Python.
 </li>
 <li>
 Experience with recommendation algorithms or ML-powered applications.
 </li>
 <li>
 Familiarity with LLMs, NLP techniques, or model integration.
 </li>
 <li>
 Understanding of secure coding, data protection, and compliance frameworks.
 </li>
 <li>
 Experience integrating with tools like Slack or Microsoft Teams.
 </li>
 <li>
 Comfortable owning features end-to-end in an agile environment.
 </li>
 <li>
 A mindset focused on data-driven, user-level value.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s In It For You
 
 
 <ul>
 <li>
 Ownership of core recommendation capabilities.
 </li>
 <li>
 Work with a modern stack and applied machine learning.
 </li>
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 Competitive salary and a flexible working environment.
 </li>
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 Impact on systems used by major global enterprises.
 </li>
 <li>
 Equity potential in a high-growth AI company.
 </li>
 <li>
 Collaborative, diverse team building meaningful products.
 </li>
 </ul>
 
 
 
 
 
 Next Steps
 
 
 
 If you are exploring full-stack roles with ML integration and real product impact, we would like to hear from you. Send your CV or get in touch in confidence for more information.
 
</div>

Full-Stack Engineer (Recommendation Systems)

Penny Software

About Penny SoftwarePenny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. Our mission is to build the best possible source-to-pay platform, allowing organizations worldwide to find suppliers, issue tenders, and manage responses faster, cheaper, and more efficiently than ever before.Role Summary:This is a high-impact senior role that sits at the intersection of Engineering, Data, and Product. You will steer Penny&rsquo;s entire approach to Machine Learning and AI, identifying opportunities to deliver measurable customer value and building the scalable solutions to realize it. Your work will directly impact thousands of procurement professionals across the MENA region.If successful, this role has the potential to develop into a Team Leadership position as we expand our dedicated AI/ML team. What You'll Do: Core ResponsibilitiesYou will be at the forefront of integrating AI and ML into procurement workflows, focusing on building intelligent solutions that solve real-world customer problems.1. AI/ML Development &amp; Deployment<ul><li>Design and implement production-ready AI/ML models that enhance core procurement processes, from supplier matching to risk assessment.</li><li>Develop solutions utilizing the latestLarge Language Model (LLM) and deep learning techniques to create tangible customer value.</li><li>Architect and implement Retrieval-Augmented Generation (RAG) systems to provide accurate, contextual, and grounded responses to user queries.</li><li>Create robust algorithms for advanced pattern recognition and process automation within complex procurement workflows.</li></ul>2. Technical Leadership &amp; MLOps<ul><li>Ensure all AI solutions are scalable, secure, and maintainable within our existing micro-service architecture.</li><li>Conduct rigorous A/B testing and performance optimization, ensuring the model's performance meets business requirements.</li><li>Provide technical guidance and mentorship on AI/ML best practices to other engineers at Penny.</li><li>Own the solution life cycle from concept and data preparation through to final deployment and monitoring.</li></ul>3. Cross-Functional Collaboration<ul><li>Partner closely with Product teams to identify the highest-value opportunities for AI-driven improvements.</li><li>Collaborate with Data teams to ensure high-quality training data, feature engineering, and labeling processes.</li><li>Work with UX teams to translate complex models into intuitive, AI-powered user experiences.</li></ul>What You Need to Succeed<ul><li>Experience: 4+ years of hands-on experience in AI/ML development, specifically deploying and managing models in production environments.</li><li>ML Proficiency: A strong track record and clear understanding of a range of ML techniques beyond simple prompting, including model fine-tuning and deployment.</li><li>Production Impact: Proven ability to solve complex business problems using AI/ML, demonstrating:</li><li>A clear understanding of problem-solution fit.</li><li>Rigorous evaluation of solution effectiveness.</li><li>Measurable business impact of your implementations.</li><li>Technical Foundation: Strong understanding of data processing, model evaluation techniques, and building high-performance, distributed systems.</li></ul>Desired Qualifications (Pluses)<ul><li>Experience setting up and managingMLOps best practices and tooling.</li><li>Hands-on experience with cloud platforms(Google Cloud, AWS, or Azure) and their native AI services.</li><li>Experience withArabic language application of AI and ML.</li><li>Knowledge of procurement, supply chain, or enterprise SaaS software domain.</li></ul>Job Type: Full-time

Artificial Intelligence Engineer

Career Maker

Mid-level Full-Stack Engineer with a focus on recommendation systemsJob OverviewWe are seeking a mid-level Full-Stack Engineer with a focus on recommendation systems to join our team. You will play a key role in designing, developing, and optimizing recommendation algorithms and end-to-end features for our AI-driven coaching platform. Working closely with engineering, product, and machine learning teams, you&rsquo;ll help deliver personalized, scalable, and secure user experiences. This role requires expertise in Node.js, Next.js, React, Python, and familiarity with recommendation systems, LLMs, and security compliance (SOC 2, ISO 27001, ISO 27018).Key ResponsibilitiesRecommendation Systems Development: Build, optimize, and maintain recommendation algorithms using machine learning techniques and LLMs to deliver personalized coaching content and insights.Full-Stack Development: Develop and maintain web and mobile applications using Next.js, React, and Node.js, ensuring responsive, secure, and performant features.Backend &amp; API Development: Design and implement RESTful APIs and backend services using Node.js and Python, focusing on scalability and integration with recommendation systems.Machine Learning Integration: Collaborate with the ML team to integrate and deploy recommendation models into production, ensuring data security and compliance.Security Compliance: Work with compliance teams to implement and audit features to meet SOC 2, ISO 27001, and ISO 27018 standards, ensuring secure data handling in recommendation systems.Collaboration: Partner with product, design, and ML teams to translate requirements into user-centric, compliant solutions.Continuous Improvement: Contribute to platform scalability and performance by auditing and enhancing recommendation system accuracy and responsiveness.QualificationsExperience: 3+ years of full-stack development experience, with hands-on work in recommendation systems or machine learning-driven applications.Tech Stack Expertise:Frontend: Proficiency in Next.js and React for building responsive, secure, and performant user interfaces.Backend: Strong knowledge of Node.js for scalable APIs and microservices, with experience in Python for data handling and ML integration.Recommendation Systems: Familiarity with building or integrating recommendation algorithms, ideally using LLMs or NLP techniques.Compliance Knowledge: Basic understanding of SOC 2, ISO 27001, and ISO 27018 standards, with experience in secure coding practices and data protection.Integration Experience: Experience with Slack and Microsoft Teams integrations, including bot development and webhooks.DevOps and Cloud: Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS preferred), with an understanding of cloud security best practices.Agile Development: Experience with agile methodologies and tools like Git and Jira in collaborative environments.Key SkillsRecommendation Systems Focus: Ability to build and optimize recommendation algorithms with a focus on user personalization and data-driven insights.Security-First Mindset: Understanding of secure coding practices and compliance requirements for data protection.Problem Solving: Strong analytical skills to address challenges in recommendation system performance and scalability.Effective Communication: Ability to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.User-Centric Approach: Commitment to building secure, personalized, and user-friendly experiences.Job Type: Full-timePay: BD1,200.000 - BD1,500.000 per monthApplication Question(s):<ul><li>How many years of experience do you have in full-stack development, with hands-on work in recommendation systems or machine learning-driven applications</li></ul>

Full Stack Engineer

Job OverviewWe are seeking a Senior UX/UI Designer to design intuitive, user-centric interfaces for our AI agent. You'll create seamless experiences across web applications and API integrations, ensuring our enterprise solutions are both powerful and easy to use.Key Responsibilities<ul><li>Design user interfaces for web applications and chat-based coaching experiences</li><li>Create wireframes, prototypes, and high-fidelity designs for enterprise software</li><li>Collaborate with engineering and product teams to implement user-centered solutions</li><li>Conduct user research and usability testing to inform design decisions</li><li>Maintain design systems and ensure consistency across all touchpoints</li><li>Support product strategy and prioritization</li></ul>Qualifications<ul><li>5+ years of UX/UI design experience</li><li>Proficiency in Figma</li><li>Strong portfolio demonstrating enterprise application design</li><li>Experience with design systems and component libraries</li><li>Understanding of responsive design and accessibility principles</li><li>Preferred: Experience with enterprise software, chat interfaces, or AI/ML products</li></ul>What We Offer<ul><li>Competitive salary</li><li>Flexible work arrangements</li><li>Opportunity to work with cutting-edge AI technology</li><li>Collaborative, diverse team environment</li><li>Potential meaningful equity opportunity</li><li>Impactful work with Fortune 500 clients</li></ul>Job Type: Full-timePay: BD2,000.000 - BD2,500.000 per monthExperience:<ul><li>ui/ux: 5 years (Required)</li></ul>

Sr UI/UX Designer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 Canonical's product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests.
 
 
 We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of 'most software to most companies', starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities.
 
 
 Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives.
 
 
 We have open product manager roles across a wide range of product domains, including:
 
 
 <ul>
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 Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, &amp; Hardware Enablement
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 Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem
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 AI/ML &amp; MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge
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 IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics
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 Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD
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 Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs
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 Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics
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 Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434
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 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms
 
 
 </li>
 </ul>
 If your domain of expertise isn't listed above, yet you feel it's relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team.
 
 
 
 Location:
 
 These roles are home based in the EMEA time zone. You will be expected to be located in this region.
 
 
 The role entails
 
 
 <ul>
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 Lead the product development lifecycle, reviewing the priorities and goals for your product
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 Collaborate with cross-functional teams such as engineering, design, marketing, and sales
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 Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track
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 Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities
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 Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations
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 Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience
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 Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training
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 Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings
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 Oversee the work of a product line, ensuring consistency in strategy and execution across different teams
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 Facilitate collaboration and resolve conflicts within different teams and across other departments
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
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 Exceptional academic results at high school and university
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 Understanding of Linux and the wider open source software community
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 Understanding of computer architecture, application development, datacenters, cloud or devices
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 Passion to write about technologies and the tech landscape
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 A strong work ethic, and personal interests aligned with the open source movement
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 Curiosity, and the habit of continuous learning
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 A strong sense of ownership
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 Problem solving and the ability to innovate
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 Outstanding communications skills in English, both verbal and written
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 For more senior positions, product management experience in the software industry
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 Ability to manage multiple projects or product lines while maintaining focus on key priorities
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 Demonstrated leadership in aligning diverse teams and driving consensus around product strategies
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 Willingness to travel internationally up to 4 times a year for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional Skills That We Value
 
 
 
 <ul>
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 Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive)
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 Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel
 </li>
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 Familiarity with cloud native technologies such as Kubernetes, Docker containers &amp; Snaps
 </li>
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 Familiarity with embedded and connected device technology and ecosystems
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 Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband
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 Familiarity with telco networking - RAN, Core, CPE
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 Experience in leading distributed teams across different time zones
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 Demonstrated ability to foster collaboration and innovation in team settings
 
 
 </li>
 </ul>
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
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 Distributed work environment with twice-yearly team sprints in person
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 Personal learning and development budget of USD 2,000 per year
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 Annual compensation review
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 Recognition rewards
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 Annual holiday leave
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 Maternity and paternity leave
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 Employee Assistance Program
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 Opportunity to travel to new locations to meet colleagues
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 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Product Manager

<div>
 
 
 Full-Stack Engineer (Performance and Service Monitoring)
 
 
 
 Real-Time Systems - Reliability Engineering - AI Platform
 
 
 
 
 
 
 
 Join a fast-growing AI company helping global enterprises accelerate the adoption of applied AI. You will design and develop monitoring and performance systems that keep a high-usage platform stable, fast, and secure across demanding environments.
 
 
 
 
 
 
 
 
 The Role
 
 
 
 As a Full-Stack Engineer focused on performance and service monitoring, you will design, build, and evolve the systems that ensure uptime, reliability, and real-time responsiveness across the platform. You will work across engineering, product, and compliance to improve observability, build dashboards, and maintain high availability.
 
 
 
 
 
 
 
 This is a hands-on engineering role that blends full-stack development with real-time monitoring, performance optimisation, and reliable system behaviour.
 
 
 
 
 
 
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Designing and implementing performance monitoring systems across the platform.
 </li>
 <li>
 Building dashboards, alerting pipelines, and observability tooling.
 </li>
 <li>
 Developing performant frontend features using Next.js and React.
 </li>
 <li>
 Creating backend APIs and microservices using Node.js and Python.
 </li>
 <li>
 Implementing WebSocket and event-driven architectures for real-time data flow.
 </li>
 <li>
 Ensuring monitoring systems align with SOC 2, ISO 27001, and ISO 27018.
 </li>
 <li>
 Integrating notifications into tools like Slack and Microsoft Teams.
 </li>
 <li>
 Continuously improving system reliability, latency, and uptime.
 </li>
 </ul>
 
 
 
 
 
 
 
 What You Need To Succeed
 
 
 <ul>
 <li>
 Strong experience in full-stack engineering.
 </li>
 <li>
 Proficiency with Next.js, React, Node.js, and Python.
 </li>
 <li>
 Experience with monitoring, observability, or real-time systems.
 </li>
 <li>
 Familiarity with CloudWatch, Prometheus, Grafana, or similar stacks.
 </li>
 <li>
 Experience with WebSockets and event-driven architectures.
 </li>
 <li>
 Strong understanding of secure coding and compliance alignment.
 </li>
 <li>
 Comfortable working across cloud environments and CI/CD pipelines.
 </li>
 <li>
 Strong problem-solving skills with a focus on reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 
 What&rsquo;s In It For You
 
 
 <ul>
 <li>
 Ownership of critical monitoring and reliability systems across a global AI platform.
 </li>
 <li>
 Modern tooling and real-time engineering challenges.
 </li>
 <li>
 Competitive salary and flexible work setup.
 </li>
 <li>
 Work with a fast-growing AI company supporting major enterprises.
 </li>
 <li>
 Equity potential and an environment that values technical excellence.
 </li>
 </ul>
 
 
 
 
 
 
 
 Next Steps
 
 
 
 If this role matches the type of engineering challenges you want to work on, we would like to hear from you. Send your CV or reach out in confidence for more details.
 
</div>

Full-Stack Engineer (Performance and Service Monitoring)

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