ai engineer

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

ai/ml specialists (data scientists/ ml engineer)

data scientist (core ai / nlp engineering) Jobs in Bahrain

data scientist (core ai / nlp engineering)

engineering manager - data platform Jobs in Bahrain

engineering manager - data platform

metrics and data analyst- engineering training (bahrain) Jobs in Bahrain

metrics and data analyst- engineering training (bahrain)

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)

<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

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

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist (
 
 
 Core AI / NLP Engineering) is required for our client in Bahrain
 
 
 
 
 Design and develop machine learning models to support AI-driven banking solutions is MUST
 
 
 
 
 Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.) is MUST
 
 
 
 
 LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks is MUST
 
 
 
 
 Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy) is MUST
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models to support AI-driven banking solutions
 </li>
 <li>
 Collaborate with data engineers to access and prepare data for modeling
 </li>
 <li>
 Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit
 </li>
 <li>
 scoring)
 </li>
 <li>
 Evaluate model performance and optimize for accuracy, precision, and recall
 </li>
 <li>
 Deploy models into production using MLOps frameworks and CI/CD pipelines
 </li>
 <li>
 Ensure models are explainable, auditable, and compliant with regulatory standards
 </li>
 <li>
 Work with business stakeholders to identify AI opportunities and define success metrics
 </li>
 <li>
 Document model assumptions, data sources, and performance benchmarks
 
 
 </li>
 </ul>
 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>
 Conversational UX / Design
 
 
 <ul>
 <li>
 Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)
 </li>
 <li>
 Flow design and intent management (Dialogflow, Rasa, Cognigy)
 </li>
 <li>
 Tone, empathy, and personality design for AI personas
 </li>
 <li>
 A/B testing dialogue variants and measuring user satisfaction
 
 
 </li>
 </ul>
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Data pipelines (Airflow, dbt, Kafka)
 </li>
 <li>
 Structured/unstructured data ingestion (PDFs, databases, APIs)
 </li>
 <li>
 Feature store and model registry management (MLflow, Kubeflow)
 </li>
 <li>
 Vector database deployment and optimization
 </li>
 <li>
 Monitoring, logging, and drift detection
 
 
 </li>
 </ul>
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Model explainability (SHAP, LIME)
 </li>
 <li>
 Bias/fairness audits and data privacy
 </li>
 <li>
 Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations
 </li>
 <li>
 Secure prompt logging and audit trails
 
 
 </li>
 </ul>
 Products &amp; Strategy
 
 
 <ul>
 <li>
 Translating business problems into AI use cases
 </li>
 <li>
 Roadmapping and budget planning
 </li>
 <li>
 KPI design (accuracy, user satisfaction, automation ROI)
 </li>
 <li>
 Vendor management (OpenAI, Anthropic, AWS, etc.)
 </li>
 <li>
 Change management and user adoption
 
 
 </li>
 </ul>
 Skills: ai,design,nlp,data
</div>

Data Scientist (Core AI / NLP Engineering)

DAMANA

<div>
 
 At Damana Insurance in Bahrain, we are currently recruiting for a System Analyst.
 
 
 
 
 
 As a Business System Analyst specializing in the insurance industry, you will be responsible for analyzing complex business processes, identifying areas for digital optimization, and collaborating with cross-functional teams to implement innovative solutions. Your role is pivotal in enhancing operational efficiency, customer experiences, and overall business success in the insurance and broking domain
 
 
 
 
 
 
 
 Main Responsibilities.
 
 
 
 
 
 
 
 
 1. Requirement Elicitation &amp; Documentation
 
 
 <ul>
 <li>
 Collaborate with insurance and broking stakeholders to gather, analyse, and document business requirements.
 </li>
 <li>
 Translate business needs into clear, detailed digital project specifications.
 </li>
 <li>
 Perform in-depth analysis of existing processes, systems, and pain points.
 </li>
 <li>
 Create BPMN workflows, identify process gaps, and propose innovative, scalable solutions.
 </li>
 </ul>
 
 
 
 
 
 2. Solution Design &amp; Development
 
 
 <ul>
 <li>
 Work closely with IT and development teams to design digital solutions tailored for the insurance and broking domain.
 </li>
 <li>
 Define functional specifications and produce BRDs, Functional Specification Documents, and Integration Documents.
 </li>
 <li>
 Ensure all solution designs comply with relevant insurance industry regulations and technical standards.
 </li>
 <li>
 Incorporate AI-driven enhancements into solution design where beneficial (e.g., automated classification, claim triage, fraud risk prediction, document understanding).
 </li>
 </ul>
 
 
 
 
 
 3. Development &amp; Technical Expertise
 
 
 <ul>
 <li>
 Proficient in
 
 Java
 
 and
 
 MongoDB
 
 for application and data development.
 </li>
 <li>
 Skilled in
 
 API integration technologies
 
 with strong hands-on experience using
 
 Postman
 
 .
 </li>
 <li>
 Possess conceptual (and practical where possible) understanding of
 
 no-code/low-code platforms
 
 .
 </li>
 <li>
 Document and design no-code solutions, translating business use cases into implementable no-code workflows.
 </li>
 <li>
 Basic understanding of AI/ML concepts such as classification models, NLP, embeddings, and prompt engineering for insurance use cases.
 </li>
 </ul>
 
 
 
 
 
 4. BI &amp; Reporting
 
 
 <ul>
 <li>
 Collaborate with data teams to define reporting requirements for underwriting, claims, broking operations, and financial KPIs.
 </li>
 <li>
 Work with BI tools (e.g., Power BI, Tableau, Looker) to design dashboards that visualize performance, trends, and operational insights.
 </li>
 <li>
 Translate raw data into clear, actionable reports for senior management and business teams.
 </li>
 <li>
 Ensure data accuracy, consistency, and alignment between operational systems and the reporting layer.
 </li>
 </ul>
 
 
 
 
 
 5. Project Management
 
 
 <ul>
 <li>
 Demonstrate full commitment to project timelines and deliverables
 </li>
 <li>
 Ensure projects are delivered on schedule.
 </li>
 </ul>
 
 
 
 
 
 6. Enterprise Architecture Alignment
 
 
 <ul>
 <li>
 Ensure all digital solutions are aligned with the enterprise architecture framework and internal standards.
 </li>
 <li>
 Continuously update related assets (business processes, architecture diagrams, data flows, system inventories) in
 
 iServer
 
 or equivalent EA tools.
 </li>
 <li>
 Facilitate change management efforts to ensure architectural artifacts remain accurate and up to date.
 </li>
 </ul>
 
 
 
 
 Education and qualification
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering.
 </li>
 <li>
 Proven experience as a Business Analyst in the insurance and broking sector
 </li>
 </ul>
 
 
</div>

System Analyst

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>
 <li>
 Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, &amp; Hardware Enablement
 </li>
 <li>
 Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem
 </li>
 <li>
 AI/ML &amp; MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge
 </li>
 <li>
 IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics
 </li>
 <li>
 Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD
 </li>
 <li>
 Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs
 </li>
 <li>
 Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics
 </li>
 <li>
 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
 </li>
 <li>
 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>
 <li>
 Lead the product development lifecycle, reviewing the priorities and goals for your product
 </li>
 <li>
 Collaborate with cross-functional teams such as engineering, design, marketing, and sales
 </li>
 <li>
 Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track
 </li>
 <li>
 Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities
 </li>
 <li>
 Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations
 </li>
 <li>
 Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience
 </li>
 <li>
 Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training
 </li>
 <li>
 Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings
 </li>
 <li>
 Oversee the work of a product line, ensuring consistency in strategy and execution across different teams
 </li>
 <li>
 Facilitate collaboration and resolve conflicts within different teams and across other departments
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 Exceptional academic results at high school and university
 </li>
 <li>
 Understanding of Linux and the wider open source software community
 </li>
 <li>
 Understanding of computer architecture, application development, datacenters, cloud or devices
 </li>
 <li>
 Passion to write about technologies and the tech landscape
 </li>
 <li>
 A strong work ethic, and personal interests aligned with the open source movement
 </li>
 <li>
 Curiosity, and the habit of continuous learning
 </li>
 <li>
 A strong sense of ownership
 </li>
 <li>
 Problem solving and the ability to innovate
 </li>
 <li>
 Outstanding communications skills in English, both verbal and written
 </li>
 <li>
 For more senior positions, product management experience in the software industry
 </li>
 <li>
 Ability to manage multiple projects or product lines while maintaining focus on key priorities
 </li>
 <li>
 Demonstrated leadership in aligning diverse teams and driving consensus around product strategies
 </li>
 <li>
 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>
 <li>
 Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive)
 </li>
 <li>
 Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel
 </li>
 <li>
 Familiarity with cloud native technologies such as Kubernetes, Docker containers &amp; Snaps
 </li>
 <li>
 Familiarity with embedded and connected device technology and ecosystems
 </li>
 <li>
 Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband
 </li>
 <li>
 Familiarity with telco networking - RAN, Core, CPE
 </li>
 <li>
 Experience in leading distributed teams across different time zones
 </li>
 <li>
 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>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 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

nineDots.io

<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)

Explore 164+ Ai ml specialists data scientists ml engineer in Bahrain this January. Find roles across top companies and apply now to boost your career.