105 Solutions Engineer jobs in Bahrain
Blockchain Solutions Engineer
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Key Responsibilities:
- Designing and architecting robust and scalable blockchain solutions for enterprise clients.
- Developing smart contracts on various blockchain platforms (e.g., Ethereum, Hyperledger Fabric) using languages like Solidity or Go.
- Integrating blockchain solutions with existing enterprise systems and APIs.
- Conducting feasibility studies and proof-of-concepts for new blockchain initiatives.
- Optimizing blockchain network performance and security.
- Collaborating with product managers, designers, and other engineers to deliver high-quality solutions.
- Staying up-to-date with the latest advancements in blockchain technology and cryptography.
- Writing clean, efficient, and well-documented code.
- Participating in code reviews and contributing to a culture of technical excellence.
- Troubleshooting and resolving issues related to blockchain implementations.
AI Solutions Engineer
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AI Solutions Engineer
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As an AI Solutions Engineer, you will work closely with clients and internal teams to understand their needs and translate them into technical requirements for AI models and systems. You will be responsible for the end-to-end development lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment. Expertise in machine learning algorithms, deep learning frameworks, and natural language processing (NLP) is essential. You will also be involved in evaluating and integrating new AI technologies and tools to enhance our solution offerings.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. A minimum of 4 years of experience in AI/ML development and deployment is required, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, or scikit-learn, is crucial. Solid understanding of data science principles, statistical modeling, and MLOps practices is also essential. Excellent problem-solving, analytical, and communication skills are required to effectively present complex AI concepts and solutions. This is a prime opportunity to work on transformative AI initiatives with a forward-thinking company, shaping the future of technology in Sanad, Capital, BH . Join a team of innovators and make a significant impact in the field of AI. Our client offers a competitive salary, comprehensive benefits, and a culture that encourages continuous learning and innovation.
AI Solutions Engineer - Remote
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Senior Cloud Solutions Engineer
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Responsibilities:
- Design, deploy, and maintain cloud-based infrastructure on platforms such as AWS, Azure, or Google Cloud.
- Develop and implement infrastructure-as-code (IaC) solutions using tools like Terraform or CloudFormation.
- Manage and optimize cloud resources for performance, cost-efficiency, and security.
- Implement and maintain CI/CD pipelines for automated software deployment and management.
- Troubleshoot and resolve complex infrastructure issues, ensuring high availability and minimal downtime.
- Collaborate with development and operations teams to implement DevOps best practices.
- Develop and document cloud architecture designs, operational procedures, and disaster recovery plans.
- Stay current with emerging cloud technologies and industry trends.
- Provide technical guidance and mentorship to junior team members.
- Ensure compliance with security policies and industry regulations.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 5 years of experience in cloud engineering and infrastructure management.
- Proven expertise in designing and managing cloud environments on AWS, Azure, or GCP.
- Hands-on experience with containerization technologies (Docker, Kubernetes) and CI/CD tools.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Strong understanding of networking principles, security best practices, and database management in cloud environments.
- Excellent problem-solving, analytical, and communication skills.
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are highly desirable.
- Experience with serverless computing and microservices architecture is a plus.
This is a fantastic opportunity to shape the cloud strategy of a growing technology company.
Lead Cloud Solutions Engineer
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Principal Cloud Solutions Engineer
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Senior Network Solutions Engineer
Posted 4 days ago
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Senior Network Solutions Engineer
Posted 9 days ago
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The ideal candidate will possess a deep understanding of networking protocols, hardware, and software, with a proven track record in enterprise-level network design and deployment. Responsibilities include architecting complex network solutions, configuring and troubleshooting routers, switches, firewalls, and other network devices. You will be responsible for network performance monitoring, optimization, and capacity planning.
Key duties involve collaborating with cross-functional teams to integrate network solutions with other IT systems. The Senior Network Solutions Engineer will also develop and maintain network documentation, create network diagrams, and ensure adherence to security best practices. You will troubleshoot and resolve network issues in a timely manner, minimizing downtime and impact on business operations. Experience with cloud networking and software-defined networking (SDN) is highly desirable.
Qualifications: A Bachelor's degree in Computer Science, Information Technology, or a related field is required. Cisco certifications (e.g., CCIE, CCNP) or equivalent industry certifications are highly preferred. Minimum of 7-10 years of experience in network engineering and solutions architecture, with a focus on telecommunications. Strong knowledge of TCP/IP, BGP, OSPF, MPLS, and other routing protocols. Excellent analytical, problem-solving, and project management skills. Superior communication and interpersonal abilities are essential. This is a prime opportunity for a seasoned network professional to lead significant projects in a dynamic sector.
Senior AI/ML Solutions Engineer
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Key Responsibilities:
- Design and develop AI/ML models for various applications, including predictive analytics, natural language processing, and computer vision.
- Implement and optimize deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Collaborate with data scientists and engineers to build and deploy scalable ML pipelines.
- Evaluate and select appropriate algorithms and tools for specific AI/ML challenges.
- Ensure the performance, scalability, and reliability of AI/ML solutions.
- Develop and maintain MLOps practices for model deployment, monitoring, and management.
- Stay current with the latest advancements in AI, ML, and related technologies.
- Work with stakeholders to understand business needs and translate them into technical requirements.
- Provide technical leadership and mentorship to junior engineers.
- Create documentation for AI/ML models, processes, and systems.
- Conduct A/B testing and other experiments to evaluate model performance.