ai engineer

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

ai/ml specialists (data scientists/ ml engineer)

engineering manager - data platform Jobs in Manama

engineering manager - data platform

data 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)

<div>Job Description 
VAM Systems is currently looking for Data Scientists - Banking 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. 
 
 
Core AI / NLP Engineering<ul><li>Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)</li><li>LLM fine-tuning (LoRA, PEFT, prompt tuning)</li><li>Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)</li><li>Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)</li><li>Knowledge of embeddings, tokenization, and transformer architecture</li><li>Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch</li><li>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)</li></ul>
 
Software Engineering &amp; Backend Integration<ul><li>RESTful and GraphQL APIs, webhooks</li><li>Containerization and deployment (Docker, Kubernetes, CI/CD)</li><li>Authentication and user/session management</li><li>Data pipelines and microservices</li><li>Knowledge of frameworks like FastAPI, Flask, NestJS, or Express</li><li>Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)</li></ul>
Agent Orchestration &amp; Tooling
<ul><li>LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks</li><li>Task-decomposition and reasoning chains</li><li>Function calling, tool use, and API chaining</li><li>Memory design (short-term vs long-term)</li><li>Context management and grounding strategies.</li></ul>
Joining time frame: (15 - 30 days)</div>

Data Scientists - Banking

Canonical

<div>
 The role of a Growth Engineer at Canonical
 
 
 Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We are looking for an experienced
 
 Growth Engineer
 
 to join our team and take ownership of our marketing technology stack, data architecture, and infrastructure. This role is critical for designing and scaling the systems that power marketing automation, lifecycle marketing, and data-driven growth initiatives.
 
 
 The ideal candidate will be passionate about technology, data, and the use of technology in marketing. You will thrive in an environment that emphasizes ownership, collaboration, learning, and a drive to continually improve. If you love to solve complex problems, get hands-on with cutting-edge tools, and build the automated systems that fuel a global business, we want to talk with you.
 
 
 This role sits in the Marketing team reporting to the Growth Engineering Manager.
 
 
 
 Location:
 
 This role will be based remotely in the EMEA region.
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Design, build, and maintain our core data infrastructure and martech stack to support marketing and sales goals.
 </li>
 <li>
 Develop and optimize robust data pipelines, automations, and integrations between our CRM, marketing platforms, and data warehouse.
 </li>
 <li>
 Architect and manage APIs for seamless system integration and data flow across the entire stack.
 </li>
 <li>
 Collaborate with marketing, sales, and product teams to understand their needs and architect technical solutions.
 </li>
 <li>
 Implement and champion software engineering best practices, including clean code, CI/CD, automated testing, and version control.
 </li>
 <li>
 Explore and integrate cutting-edge tools to enhance our data capabilities and operational efficiency.
 </li>
 <li>
 Support marketing team members with strategic expertise, setting up and monitoring automations
 </li>
 <li>
 Build on automation and AI to improve lead management
 </li>
 <li>
 Develop Canonical's martech stack to industry leading standard
 
 
 </li>
 </ul>
 What we are looking for in you?
 
 
 <ul>
 <li>
 
 System Design:
 
 Expertise in system design, particularly in the data world, with a strong understanding of networking, proxies, and data ingress/egress patterns.
 </li>
 <li>
 
 Cloud &amp; Databases:
 
 Proficiency with cloud data warehousing (e.g., BigQuery), relational databases (e.g., Postgres), and object stores (e.g., S3). Knowledge of Docker, Kubernetes, and data stores like Redis is a plus.
 </li>
 <li>
 
 API Architecture:
 
 Deep knowledge of API architecture and design, with a primary focus on REST. Experience with GraphQL is beneficial.
 </li>
 <li>
 
 Programming:
 
 Senior-level knowledge of Python (OOP, APIs, asyncio, scientific libraries) and SQL (experience with tools like Trino and dbt is highly valued).
 </li>
 <li>
 
 Web Technologies:
 
 A solid understanding of web application backend-frontend processes. Working knowledge of JavaScript is required; experience with React is a nice-to-have.
 </li>
 <li>
 
 Engineering Best Practices:
 
 A commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control (Git).
 </li>
 <li>
 
 Mindset:
 
 A curious and collaborative problem-solver with a growth mindset and a keen interest in the commercial domains of marketing and sales. Plus, exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
 
 
 🏠Fully remote working environment - we've been working remotely since 2004!
 
 
 📚Personal learning and development budget of 2,000USD per annum
 
 
 💰Annual compensation review
 
 
 🏆Recognition rewards
 
 
 🏝 Annual holiday leave
 
 
 👶Parental Leave
 
 
 🧑&zwj;💼Employee Assistance Programme
 
 
 🧳Opportunity to travel to new locations to meet colleagues at 'sprints'
 
 
 ✈️Priority Pass for travel and travel upgrades for long haul company events
 
 
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm that is 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 on a daily basis. 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.
 
 
 Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
 
 
 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>

Growth Engineer

Confidential

<figure class="table"><table><tbody><tr><td>Job Description:&nbsp;<ul><li>Build, deploy, and operate production AI systems and services.</li><li>Design and implement RAG pipelines across structured and unstructured data.</li><li>Develop AI-powered chatbots and automation workflows.</li><li>Integrate AI solutions with internal platforms, external data sources, and client systems.</li><li>Assist in fine-tuning LLMs and optimizing model performance.</li><li>Design data ingestion pipelines, including document processing and web data extraction.</li><li>Monitor AI systems and continuously optimize performance, reliability, and cost.</li><li>Collaborate with engineering, product, and operations teams to translate business requirements into AI solutions.</li><li>Ensure all AI systems comply with security, privacy, and reliability standards.</li></ul>&nbsp;Educational, Skills, and Experience:&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, Artificial Intelligence, or a related field.</li><li>3–5 years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong problem-solving and analytical abilities.</li><li>Ability to translate business requirements into scalable technical solutions.</li></ul>&nbsp;Technical Skills:&nbsp;<ul><li>Advanced Python development and API integration.</li><li>Experience working with Large Language Models (LLMs).</li><li>Design and implementation of Retrieval-Augmented Generation (RAG) systems.</li><li>Vector databases, embeddings, and search architectures.</li><li>AI model optimization, evaluation, and performance monitoring.</li><li>Data ingestion pipelines and document processing systems.</li><li>Familiarity with fine-tuning techniques and open-source LLMs.</li><li>Understanding of AI security, privacy, and cost optimization strategies.</li></ul>&nbsp;Additional Eligibility Qualifications&nbsp;<ul><li>Ability to work independently and as part of a team.</li><li>Strong organizational and time management skills.</li><li>Willingness to continuously learn and adapt.</li><li>Ability to handle multiple projects in a fast-paced environment.</li><li>Strong sense of responsibility and ownership of deliverables.</li></ul></td></tr></tbody></table></figure>

AI Engineer

<div>
 Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
 
 
 We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
 
 
 
 Location:
 
 
 This role can be filled in European, Middle East, African or any American region / time zone.
 
 
 
 What your day will look like
 
 
 <ul>
 <li>
 You will lead a team building scalable data solutions for Kubernetes and cloud machines
 </li>
 <li>
 You will hire, coach, mentor, provide feedback, and lead your team by example
 </li>
 <li>
 You will demonstrate sound engineering skill by directly contributing code when needed
 </li>
 <li>
 Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
 </li>
 <li>
 Advocate modern, agile software development practices
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 </li>
 <li>
 Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
 </li>
 <li>
 Grow a healthy, collaborative engineering culture aligned with the company's values.
 </li>
 <li>
 Be an active part of the leadership team and collaborate with other leaders in the organization
 </li>
 <li>
 Work from home with global travel twice yearly, for internal events of one or two weeks duration
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 A software engineering background, preferably with Python and Golang experience
 </li>
 <li>
 Experience running in production and at scale, preferably Big Data or MySQL
 </li>
 <li>
 Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
 </li>
 <li>
 Proven ability to build high-quality, open-source software
 </li>
 <li>
 Proven to drive good engineering practices around performance and quality
 </li>
 <li>
 An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
 </li>
 <li>
 The ambition to build products that improve how people operate software and infrastructure everywhere
 </li>
 <li>
 Love developing and growing people and have a track record of doing it
 </li>
 <li>
 Knowledgeable and passionate about software development
 
 
 </li>
 </ul>
 
 Additional Skills That You Might Also Bring
 
 
 
 <ul>
 <li>
 Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
 </li>
 <li>
 Prior experience working with open source and a will to build products with the community
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
 
 
 <ul>
 <li>
 Fully remote working environment - we've been working remotely since 2004!
 </li>
 <li>
 Personal learning and development budget of 2,000USD per annum
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues at 'sprints'
 </li>
 <li>
 Priority Pass for travel and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm that is 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 on a daily basis. 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.
 
 
 Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
 
 
 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>

Engineering Manager - Data Platform

ARRAY INNOVATION

<div>
 
 At Array, we're not just a software services company &ndash; we're dreamers, builders, and visionaries. Born from the startup hustle, we're on a mission to redefine the tech landscape, become the next tech giant, and put Bahrain on the map! Our journey is bold, our ambitions are sky-high, and we're looking for exceptional Senior Software Engineers to join us on this epic adventure.
 
 Relevant experience within financial services sector is a must, experience with multithreading is a strong advantage.
 
 
 
 
 
 
 Position: Senior Software Engineer (Java)
 
 
 Location: Bahrain (not remote)
 
 
 Job Type: Full-time
 
 
 Experience: Minimum 8 years of daily coding in Java
 
 
 Selection Process: coding test and/or technical interviews
 
 
 
 
 
 
 Job Description:
 
 Array is currently seeking an exceptional Senior Software Engineer specialised in Java to join our accomplished team. You will play a pivotal role in designing, developing, and maintaining high quality software solutions for our esteemed clients. We are seeking individuals with a strong foundation in software engineering principles, a passion for technology, and a proven track record of successful project delivery.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Software Development &amp; Architecture
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade Java applications with a focus on scalability, reliability, and performance.
 </li>
 <li>
 Develop clean, efficient, and maintainable code following industry best practices and coding standards.
 </li>
 <li>
 Architect solutions tailored for large-scale financial services systems with low latency and high throughput requirements.
 </li>
 </ul>
 
 
 Financial Services Expertise
 
 (Strong Advantage)
 
 
 
 <ul>
 <li>
 Collaborate with financial clients to understand complex business processes and translate them into technical solutions.
 </li>
 <li>
 Develop applications in compliance with financial regulations, ensuring data integrity and security.
 </li>
 <li>
 Prior experience with trading systems, risk management solutions, or payment processing platforms is a significant plus.
 </li>
 </ul>
 
 
 Technical Leadership &amp; Mentoring
 
 
 <ul>
 <li>
 Provide technical guidance and mentorship to junior developers and team members.
 </li>
 <li>
 Lead code reviews, ensuring code quality, consistency, and adherence to global standards.
 </li>
 <li>
 Contribute to technical discussions, architecture reviews, and strategic technology decisions.
 </li>
 </ul>
 
 
 Collaboration &amp; Agile Methodologies
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including Product Managers, QA Engineers, and DevOps teams.
 </li>
 <li>
 Participate in Agile ceremonies (Scrum, Sprint Planning, Retrospectives) to ensure timely project delivery.
 </li>
 <li>
 Communicate effectively with global stakeholders, ensuring alignment on project goals and deliverables.
 </li>
 </ul>
 
 
 Continuous Improvement &amp; Innovation
 
 
 <ul>
 <li>
 Stay updated with the latest trends in Java development, financial technologies, and software engineering.
 </li>
 <li>
 Identify process improvements, tooling enhancements, and optimization opportunities.
 </li>
 </ul>
 
 Drive innovation by recommending new technologies, frameworks, or methodologies suitable for clients.
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 
 7+ years of hands-on Java development experience
 
 , focusing on enterprise-level solutions.
 </li>
 <li>
 Strong expertise in
 
 core Java, multithreading, collections, and concurrency
 
 .
 </li>
 <li>
 Proven experience with
 
 Spring Framework (Spring Boot, Spring MVC, Spring Security)
 
 .
 </li>
 <li>
 Solid understanding of
 
 RESTful API development, microservices architecture
 
 , and design patterns.
 </li>
 <li>
 Experience with
 
 SQL/NoSQL databases
 
 (e.g., Oracle, PostgreSQL, MongoDB).
 </li>
 <li>
 Proficiency in
 
 CI/CD pipelines
 
 and tools (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 cloud platforms
 
 (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
 </li>
 </ul>
 
 
 
 
 
 Additional Requirements:
 
 
 <ul>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Strong problem-solving abilities with a proactive, solution-oriented approach.
 </li>
 <li>
 Ability to thrive in a fast-paced, globally distributed environment.
 </li>
 <li>
 Proven track record of delivering legendary software solutions on time and within budget.
 </li>
 <li>
 Thrive in the chaos of an Agile development environment.
 </li>
 <li>
 Team player with social XP &ndash; we're building a tribe, not just a team.
 </li>
 <li>
 Always ahead of the curve &ndash; stay curious, stay cool.
 </li>
 </ul>
 
 
 
 
 
 Good to have:
 
 
 <ul>
 <li>
 Preferred Financial Services Experience
 </li>
 <li>
 Prior work on financial systems, including trading platforms, market data feeds, payment gateways, or regulatory compliance solutions.
 </li>
 <li>
 Understanding of low-latency coding practices and high-frequency trading environments.
 </li>
 <li>
 Familiarity with financial data formats (e.g., FIX protocol, SWIFT messages) is a plus.
 </li>
 </ul>
 
 
</div>

Senior Java Software Engineer (8+ years)

Era Projects

Job Summary -The Junior Planning Engineer assists in planning, scheduling, and monitoring construction project activities to ensure timely execution in line with approved schedules and project requirements.Key Responsibilities<ul><li>Assist in preparing project schedules using Primavera P6 or MS Project</li><li>Update and monitor project progress against baseline schedules</li><li>Collect daily/weekly progress data from site teams</li><li>Assist in preparing progress reports and dashboards</li><li>Support resource loading, manpower, and equipment tracking</li><li>Assist in preparing recovery plans and look-ahead schedules</li><li>Coordinate with site engineers and supervisors for planning inputs</li><li>Maintain planning documents and records</li><li>Support claims, extensions of time (EOT), and delay analysis when required</li></ul>Requirements &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Civil Engineering or related field</li><li>1&ndash;3 years of experience in construction planning (fresh graduates may apply)</li><li>Basic knowledge of Primavera P6 / MS Project</li><li>Understanding of construction activities and sequencing</li><li>Ability to read construction drawings</li></ul>Skills &amp; Competencies<ul><li>Strong analytical and organizational skills</li><li>Good communication and coordination abilities</li><li>Attention to detail and accuracy</li><li>Proficiency in MS Excel and reporting tools</li></ul>Job Types: Full-time, Permanent

Planning Engineer

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