software engineer i

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)

early career traineeship- project support engineer Jobs in Bahrain

early career traineeship- project support engineer

internship - (software engineer & ai engineer) Jobs in Bahrain

internship - (software engineer & ai engineer)

internship software engineer ai engineer

Penny Software

Join Our Team as an Intern - (Software Engineer &amp; AI Engineer) at Penny Software! Are you passionate about technology and eager to kickstart your career?This is your chance to be a part of an innovative team driving impactful projects!Overview of the Role: - Collaborate with experienced developers on exciting projects- Gain hands-on experience in software development and problem-solving- Contribute fresh ideas to enhance our technological solutionsIf you're ready to take your career to the next level and be part of an exciting journey, apply today! Let's build the future together.Apply here: https://lnkd.in/dTTuEkMiJob Types: Full-time, Internship Contract length: 3 months

Internship - (Software Engineer & AI Engineer)

VAM SYSTEMS

<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

<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)

JPMorganChase

<div>
 
 Job Description
 
 
 
 Kick-start your software engineering career as an entry-level Software Engineer I. Be part of a team that is pushing the boundaries of what's possible.
 
 
 As a Software Engineer I at JPMorganChase within the Commercial and Investment Bank for Trade Finance business, you will be a part of an agile team that works to enhance, design, and deliver the software components to the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain microservices using Java and Spring Boot.
 </li>
 <li>
 Develop and maintain user interfaces using React, ensuring responsive and intuitive design.
 </li>
 <li>
 Implement cloud-native and cloud-hybrid solutions on Kubernetes container orchestration technology.
 </li>
 <li>
 Leverage AI-powered development tools such as GitHub Copilot or similar to enhance productivity, code quality, and accelerate development cycles.
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features in an agile environment.
 </li>
 <li>
 Utilize domain-driven design principles to architect scalable and maintainable systems and develop event-driven architectures to enhance system responsiveness and scalability.
 </li>
 <li>
 Work with SQL databases (e.g., Postgres) and NoSQL databases (e.g., MongoDB) to manage data effectively.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field with 1+ year of experience
 </li>
 <li>
 Experience in software development, with a focus on microservices architecture.
 </li>
 <li>
 Proficiency in Java and Spring Boot.
 </li>
 <li>
 Use AI-powered development tools such as GitHub Copilot.
 </li>
 <li>
 Stay informed about advancements in AI-assisted software engineering and proactively adopt best practices for AI-driven development.
 </li>
 <li>
 Hands-on experience in Microservices, RESTful Web services development in Java (Spring Boot), Spring Data JPA.
 </li>
 <li>
 Proficient in UTCs, Mutation testing, and API automation testing strategies.
 </li>
 <li>
 Experience with working with cloud platforms and strong understanding of domain-driven design and event-driven architecture.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience with CI/CD pipelines and DevOps practices.
 </li>
 <li>
 Knowledge of containerization technologies like Docker.
 </li>
 <li>
 Familiarity with RESTful APIs and web services.
 </li>
 <li>
 Familiarity with prompt engineering and best practices for interacting with generative AI tools.
 </li>
 <li>
 Basic to intermediate proficiency in React for building and maintaining web user interfaces.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&rsquo;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Software Engineer I

<div>JOB DESCRIPTION 
Kick-start your software engineering career as an entry-level Software Engineer I. Be part of a team that is pushing the boundaries of what's possible.
As a Software Engineer I at JPMorganChase within the Commercial and Investment Bank for Trade Finance business, you will be a part of an agile team that works to enhance, design, and deliver the software components to the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
Job responsibilities<div>
</div><ul><li>Design, develop, and maintain microservices using Java and Spring Boot.</li><li>
Develop and maintain user interfaces using React, ensuring responsive and intuitive design.</li><li>
Implement cloud-native and cloud-hybrid solutions on Kubernetes container orchestration technology.</li><li>
Leverage AI-powered development tools such as GitHub Copilot or similar to enhance productivity, code quality, and accelerate development cycles.</li><li>
Collaborate with cross-functional teams to define, design, and ship new features in an agile environment.</li><li>
Utilize domain-driven design principles to architect scalable and maintainable systems and develop event-driven architectures to enhance system responsiveness and scalability.</li><li>
Work with SQL databases (e.g., Postgres) and NoSQL databases (e.g., MongoDB) to manage data effectively.</li></ul>
Required qualifications, capabilities, and skills<div>
</div><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field with 1+ year of experience</li><li>
Experience in software development, with a focus on microservices architecture.</li><li>
Proficiency in Java and Spring Boot.</li><li>
Use AI-powered development tools such as GitHub Copilot.</li><li>
Stay informed about advancements in AI-assisted software engineering and proactively adopt best practices for AI-driven development.</li><li>
Hands-on experience in Microservices, RESTful Web services development in Java (Spring Boot), Spring Data JPA.</li><li>
Proficient in UTCs, Mutation testing, and API automation testing strategies.</li><li>
Experience with working with cloud platforms and strong understanding of domain-driven design and event-driven architecture.</li></ul>
<div></div>Preferred qualifications, capabilities, and skills<ul><li>
Experience with CI/CD pipelines and DevOps practices.</li><li>
Knowledge of containerization technologies like Docker.</li><li>
Familiarity with RESTful APIs and web services.</li><li>
Familiarity with prompt engineering and best practices for interacting with generative AI tools.</li><li>
Basic to intermediate proficiency in React for building and maintaining web user interfaces.</li></ul>
ABOUT US 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&rsquo;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div>
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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.
 
 
 We are hiring a
 
 Lead Golang Software Engineer
 
 at any seniority level, who strives for the highest engineering quality, seeks improvements, continuously develops their skills, and applies them at work. This is an exciting opportunity to work with many popular software systems, integrations technologies, and exciting open-source solutions.
 
 
 The Commercial Systems unit is conceived as six engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Golang plays an integral role in it. We are looking for software engineers for these teams:
 
 
 The
 
 Billing team
 
 designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business, payment systems. This team is an excellent match for any software engineer interested in growing their skills in the billing and payment processing domain.
 
 
 The
 
 Contracts
 
 team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system. This team is an excellent match for any software engineer interested in understanding sales and revenue processes and growing their skills beyond software engineering.
 
 
 The
 
 Livepatch
 
 team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches. This team is a great opportunity for a software engineer interested in security and with a strong focus on engineering quality and reliability.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Develop engineering solutions leveraging Golang
 </li>
 <li>
 Lead technical designs, code reviews, and implementation
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Coach, mentor, and offer career development feedback to colleagues
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with software development in Golang
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with accounting, sales, sales operations, or other business roles
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 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 recognize 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>

Lead Golang Software Engineer, Commercial Systems

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 173+ Internship software engineer ai engineer in Bahrain this January. Find roles across top companies and apply now to boost your career.

173 internship software engineer ai engineer jobs IN Bahrain

Internship - (Software Engineer & AI Engineer)

Data Scientists - Banking

AI/ML Specialists (Data Scientists/ ML Engineer)

Software Engineer I

Software Engineer I

Lead Golang Software Engineer, Commercial Systems

Full-Stack Engineer (Performance and Service Monitoring)