business development specialist Jobs in Bahrain City

business development specialist

delivery consultant - infrastructure and security, professional services Jobs in Bahrain City

delivery consultant - infrastructure and security, professional services

senior cloud delivery consultant, professional services delivery - menat sdt Jobs in Bahrain City

senior cloud delivery consultant, professional services delivery - menat sdt

senior ai & cloud systems developer Jobs in Bahrain City

senior ai & cloud systems developer

application security specialist Jobs in Bahrain City

application security specialist

cloud services specialist data solutions

<div></div><div><div><div>Business Unit
</div><div>stc
</div></div><div><div>Sector
</div><div><div>BUSINESS
</div></div></div><div><div>Location
</div><div>Bahrain - Manama
</div></div><div><div>Contract Type
</div><div>Full Time
</div></div><div><div>Closing Date
</div><div>04-Sep-2025
</div></div><div><div>Job Objective:
</div><div>Lead the development and management of cloud-based data-driven solutions, leveraging on AWS partnership to create impactful customer offerings. The role will also involve collaboration with the presales team to design and position innovative products and solutions for our customers.
</div></div><div><div>Job Specifications:
</div><div><ul><li>Identify, define, and prioritize cloud-based products with a focus on data solutions.</li><li>
Lead the design, development, and deployment of scalable data products and services.</li><li>
Develop strategies to address key customer pain points in data storage, processing, and analysis.</li><li>
Partner with engineering teams to ensure the successful execution of the product roadmap.</li><li>
Collaborate with the presales team to create tailored cloud solutions for customers, focusing on AWS opportunities.</li><li>
Act as the primary technical advisor during client engagements, highlighting the unique value of proposed solutions.</li><li>
Engage with customers to understand their data challenges and align solutions to their needs.</li><li>
Conduct competitive analysis to identify opportunities for AWS related products and services.</li><li>
Gather feedback to refine and enhance product offerings.</li><li>
Perform other responsibilities as required by higher levels of supervision</li></ul>
</div></div><div><div>Role Impact:
</div><div><ul><li>The Product Specialist for Cloud-based data-driven solutions plays a crucial role in driving the adoption and success of our innovative product offerings.</li><li>
By leveraging deep technical expertise and understanding of market trends, this role will directly impact the development and enhancement of our product offerings.</li><li>
By collaborating with cross-functional teams including engineering, marketing, and sales, the Product Specialist ensures that our products will meet market demands, enhance customer satisfaction, and contribute to the overall growth of the organization.</li></ul>
</div></div><div><div>Key Job Competencies:
</div><div><ul><li>Technical Expertise: Deep understanding of Cloud technologies.</li><li>
Market Awareness: Knowledge of industry trends and competitive landscape related to cloud-based data driven solutions.</li><li>
Communication: Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders.</li><li>
Problem-Solving: Strong troubleshooting abilities to identify issues and provide timely solutions.</li><li>
Collaboration: Experience of working in cross-functional teams and fostering a collaborative work environment</li></ul>
</div></div><div><div>Qualification &amp; Experience: 
</div><div> 
Bachelor&rsquo;s degree in Business Administration, Engineering, IT or any other relevant field.
Certification:<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Machine Learning &ndash; Specialty</li></ul>
Minimum 8 years of relevant experience 
</div></div><div><div>About Application Process
</div><div>If you meet the criteria and you are enthusiastic about the role, we would welcome your application.</div></div></div>

Cloud Services Specialist (Data Solutions)

Amazon.com

<div><div>DESCRIPTION<div>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
Key job responsibilities 
As an experienced technology professional, you will be responsible for:
 
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 
2. Providing technical guidance and troubleshooting support throughout project delivery 
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 
4. Acting as a trusted advisor to customers on industry trends and emerging technologies 
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 
 
About the team 
About AWS: 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
</div></div><div>BASIC QUALIFICATIONS<div>
7+ years of experience as a technical specialist in Customer-facing roles. 
 
Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. 
 
Hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience. 
 
Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization. 
 
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.</div></div><div>
PREFERRED QUALIFICATIONS<ul><li>Bachelor&rsquo;s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field</li><li>AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)</li><li>Experience in an Architect role or similar with strong track record of implementing AWS services in a variety of distributed computing environments</li><li>Large scale migration experience Data Center to Data Center and/or Data Center to Cloud</li><li>Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell)</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div></div>
 <div><div>Job details</div><ul><div><div>
BHR, Manama</div></div><div><div>
Solutions Architect</div></div></ul></div>

Delivery Consultant - Infrastructure and Security, Professional Services

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
Key job responsibilities 
As an experienced technology professional, you will be responsible for:
 
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 
2. Providing technical guidance and troubleshooting support throughout project delivery 
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 
4. Acting as a trusted advisor to customers on industry trends and emerging technologies 
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 
 
About the team 
About AWS: 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2>
7+ years of experience as a technical specialist in Customer-facing roles. 
 
Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. 
 
Hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience. 
 
Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization. 
 
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor&rsquo;s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field</li><li>AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)</li><li>Experience in an Architect role or similar with strong track record of implementing AWS services in a variety of distributed computing environments</li><li>Large scale migration experience Data Center to Data Center and/or Data Center to Cloud</li><li>Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell)</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
 
 
 Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
 
 
 The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
 
 
 Key job responsibilities
 
 
 As an experienced technology professional, you will be responsible for:
 
 
 <ul>
 <li>
 Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
 </li>
 <li>
 Providing technical guidance and troubleshooting support throughout project delivery
 </li>
 <li>
 Collaborating with stakeholders to gather requirements and propose effective migration strategies
 </li>
 <li>
 Acting as a trusted advisor to customers on industry trends and emerging technologies
 </li>
 <li>
 Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 About AWS:
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
 
 
 Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 
 Basic Qualifications
 
 
 
 7+ years of experience as a technical specialist in Customer-facing roles.
 
 
 Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation.
 
 
 Hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience.
 
 
 Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization.
 
 
 Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
 </li>
 <li>
 AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
 </li>
 <li>
 Experience in an Architect role or similar with strong track record of implementing AWS services in a variety of distributed computing environments
 </li>
 <li>
 Large scale migration experience Data Center to Data Center and/or Data Center to Cloud
 </li>
 <li>
 Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Web Services EMEA SARL Branch of a Foreign Company
 
 
 Job ID: A3071740
</div>

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 1000+ colleagues in 70+ countries and very few roles based in offices. 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
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <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>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </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 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 Programme
 </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>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Senior AI &amp; Cloud Systems Developer for our Bahrain operations with the following skillsets &amp; terms and conditions: 
Qualification: 
<ul><li>
Bachelor&rsquo;s in CS/IT/Engineering</li><li>
AWS Certified Solutions Architect &amp; AWS Development expert.</li><li>
TensorFlow or equivalent AI/ML certification</li><li>
Arabic and English speaker</li></ul> 
Years of experience : 8 Years 
Expert with 
AI/ML Competencies 
<ul><li>Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).</li><li>
Computer Vision (OpenCV, AWS Rekognition).</li><li>
Natural Language Processing (Hugging Face Transformers, spaCy).</li></ul> 
Programming &amp; Frameworks 
<ul><li>Python as a primary language.</li><li>
Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>
Strong experience in API-first development (REST, GraphQL, OpenAPI).</li></ul> 
Cloud Platforms 
<ul><li>AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).</li><li>
Familiarity with Azure AI/ML services.</li><li>
Containerization &amp; orchestration (Docker, Kubernetes).</li><li>
Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).</li></ul> 
Data Engineering &amp; Governance 
<ul><li>Building and maintaining data pipelines and ETL processes.</li><li>
SQL/NoSQL databases (PostgreSQL, MongoDB).</li><li>
Big Data frameworks (Apache Spark, Hadoop, AWS EMR).</li><li>
Data governance, quality assurance, and audit readiness.</li></ul> 
DevOps/MLOps 
<ul><li>CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.</li><li>
ML lifecycle management (ML flow, Kubeflow).</li></ul> 
Security &amp; Compliance 
<ul><li>Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO 42001).</li><li>
Logging, monitoring, and explain ability of AI models for regulatory audits.</li></ul> 
Architecture &amp; Design 
<ul><li>Microservices-based architectures.</li><li>
Scalable, high-availability, and secure cloud-native systems.</li><li>
System documentation and knowledge transfer</li></ul> 
Project &amp; Collaboration 
<ul><li>Agile/Scrum delivery experience.</li><li>
Strong documentation, communication, and mentoring skills.</li><li>
Ability to work collaboratively with internal developers and transfer knowledge effectively.</li></ul> 
Responsibilities: 
AI/ML Development &amp; Deployment 
<ul><li>
Design, develop, and maintain AI-driven systems integrated with cloud platforms.</li><li>
Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.</li><li>
Ensure robust MLOps practices (model monitoring, retraining, version control).</li></ul> 
Cloud Architecture &amp; System Development 
<ul><li>
Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).</li><li>
Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.</li><li>
Build microservices and APIs for seamless integration with existing systems and third-party applications.</li><li>
Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).</li></ul> 
Governance, Compliance &amp; Security 
<ul><li>
Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).</li><li>
Apply cloud security best practices including identity management, encryption, and secure APIs.</li><li>
Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.</li></ul> 
 Collaboration &amp; Stakeholder Engagement 
<ul><li>
Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.</li><li>
Translate business requirements into technical solutions and prototypes.</li><li>
Gather and evaluate user feedback to continuously improve systems.</li></ul> 
Leadership &amp; Knowledge Sharing 
<ul><li>
Mentor and guide junior developers in AI, ML, and cloud best practices.</li><li>
Lead training workshops and knowledge-transfer sessions for new systems and enhancements.</li><li>
Provide technical documentation, reports, and presentations to management and project committees.</li></ul> 
Continuous Improvement &amp; Support 
<ul><li>
Troubleshoot, debug, and upgrade existing systems and services.</li><li>
Recommend and execute performance and security improvements.</li><li>
Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.</li><li>
Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.</li></ul> 
Terms and conditions
Joining time frame: (15 - 30 days)</div>

Senior AI & Cloud Systems Developer

VAM Systems

<div>
 
 Job Description
 
 
 
 
 VAM Systems
 
 is currently looking for
 
 Senior AI &amp; Cloud Systems Developer
 
 for our
 
 Bahrain
 
 operations with the following skillsets &amp; terms and conditions:
 
 
 
 Qualification:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/IT/Engineering
 </li>
 <li>
 AWS Certified Solutions Architect &amp; AWS Development expert.
 </li>
 <li>
 TensorFlow or equivalent AI/ML certification
 </li>
 <li>
 Arabic and English speaker
 
 
 </li>
 </ul>
 
 Years of experience : 8 Years
 
 
 
 
 Expert with
 
 
 
 
 AI/ML Competencies
 
 
 
 <ul>
 <li>
 Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).
 </li>
 <li>
 Computer Vision (OpenCV, AWS Rekognition).
 </li>
 <li>
 Natural Language Processing (Hugging Face Transformers, spaCy).
 
 
 </li>
 </ul>
 
 Programming &amp; Frameworks
 
 
 
 <ul>
 <li>
 Python as a primary language.
 </li>
 <li>
 Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.
 </li>
 <li>
 Strong experience in API-first development (REST, GraphQL, OpenAPI).
 
 
 </li>
 </ul>
 
 Cloud Platforms
 
 
 
 <ul>
 <li>
 AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).
 </li>
 <li>
 Familiarity with Azure AI/ML services.
 </li>
 <li>
 Containerization &amp; orchestration (Docker, Kubernetes).
 </li>
 <li>
 Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Governance
 
 
 
 <ul>
 <li>
 Building and maintaining data pipelines and ETL processes.
 </li>
 <li>
 SQL/NoSQL databases (PostgreSQL, MongoDB).
 </li>
 <li>
 Big Data frameworks (Apache Spark, Hadoop, AWS EMR).
 </li>
 <li>
 Data governance, quality assurance, and audit readiness.
 
 
 </li>
 </ul>
 
 DevOps/MLOps
 
 
 
 <ul>
 <li>
 CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
 </li>
 <li>
 ML lifecycle management (ML flow, Kubeflow).
 
 
 </li>
 </ul>
 
 Security &amp; Compliance
 
 
 
 <ul>
 <li>
 Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO 42001).
 </li>
 <li>
 Logging, monitoring, and explain ability of AI models for regulatory audits.
 
 
 </li>
 </ul>
 
 Architecture &amp; Design
 
 
 
 <ul>
 <li>
 Microservices-based architectures.
 </li>
 <li>
 Scalable, high-availability, and secure cloud-native systems.
 </li>
 <li>
 System documentation and knowledge transfer
 
 
 </li>
 </ul>
 
 Project &amp; Collaboration
 
 
 
 <ul>
 <li>
 Agile/Scrum delivery experience.
 </li>
 <li>
 Strong documentation, communication, and mentoring skills.
 </li>
 <li>
 Ability to work collaboratively with internal developers and transfer knowledge effectively.
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 
 AI/ML Development &amp; Deployment
 
 
 
 <ul>
 <li>
 Design, develop, and maintain AI-driven systems integrated with cloud platforms.
 </li>
 <li>
 Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.
 </li>
 <li>
 Ensure robust MLOps practices (model monitoring, retraining, version control).
 
 
 </li>
 </ul>
 
 Cloud Architecture &amp; System Development
 
 
 
 <ul>
 <li>
 Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).
 </li>
 <li>
 Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.
 </li>
 <li>
 Build microservices and APIs for seamless integration with existing systems and third-party applications.
 </li>
 <li>
 Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).
 
 
 </li>
 </ul>
 
 Governance, Compliance &amp; Security
 
 
 
 <ul>
 <li>
 Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).
 </li>
 <li>
 Apply cloud security best practices including identity management, encryption, and secure APIs.
 </li>
 <li>
 Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Stakeholder Engagement
 
 
 
 <ul>
 <li>
 Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.
 </li>
 <li>
 Translate business requirements into technical solutions and prototypes.
 </li>
 <li>
 Gather and evaluate user feedback to continuously improve systems.
 
 
 </li>
 </ul>
 
 Leadership &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Mentor and guide junior developers in AI, ML, and cloud best practices.
 </li>
 <li>
 Lead training workshops and knowledge-transfer sessions for new systems and enhancements.
 </li>
 <li>
 Provide technical documentation, reports, and presentations to management and project committees.
 
 
 </li>
 </ul>
 
 Continuous Improvement &amp; Support
 
 
 
 <ul>
 <li>
 Troubleshoot, debug, and upgrade existing systems and services.
 </li>
 <li>
 Recommend and execute performance and security improvements.
 </li>
 <li>
 Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.
 </li>
 <li>
 Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.
 
 
 </li>
 </ul>
 
 Terms and conditions
 
 
 
 
 Joining time frame: (15 - 30 days)
 
</div>

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