AI / Machine Learning Engineer

About Us:

StreamDelta® has started its operations in the Middle East and Africa Telecommunications market for delivering capabilities, projects and solutions in BSS and OSS domains. StreamDelta® specifically focuses in System Integration, Technical and Business Consultancy as well as custom solution (software) development in multiple geographical regions. In order to achieve its goals, StreamDelta® hires and makes available the most elite services team for its customers, differentiating itself from competition by utilizing the market experts for undertaking complex tasks requiring high level of commitment, focus and going the extra mile to succeed for its clients.Since its foundation, StreamDelta® was able to attract many individuals who are experts in strategic Telecommunications domains both from technical and business including Billing, CRM, Customer Experience Management. StreamDelta® will continue to grow attracting top local and international experts and will become one of the major technology players in the market along with its ongoing services in Europe.

About the Role:

We are seeking an experienced AI / Machine Learning Engineer with strong expertise in

* Reinforcement Learning,

* Supervised Learning,

* Generative AI

technologies. The ideal candidate will be responsible for designing, developing, and deploying scalable AI/ML solutions in large-scale environments, contributing to cutting-edge agentic systems and intelligent automation projects.

Responsibilities

• Design, develop, and deploy advanced ML models, with a focus on Reinforcement Learning (RL), multi-agent systems (Agentic AI).
• Build AI models leveraging algorithms like DQN, A3C, PPO, DCQN, and optimize their performance in production environments.
• Collaborate with cross-functional teams to integrate AI components into complex systems.
• Manage full AI lifecycle using AIOps, LLMOps, and MLOps (MLFlow) frameworks.
• Implement scalable data and model pipelines in Python.
• Contribute to AI governance initiatives, ensuring privacy, security, and model interpretability.
• Design APIs and develop MCP (Model Control Protocol) modules for AI-driven applications.

Qualifications

• Bachelor’s or higher degree in Computer Science, Mathematics, Engineering, or a related field.
• 5+ years of hands-on experience in designing and deploying ML solutions.
• Proficiency in PyTorch, Python, and LLM development.
• Experience with Reinforcement Learning algorithms (DQN, A3C, PPO, DCQN) or experience with Game AI development.
• Familiarity with MongoDB, PostgreSQL, or other NoSQL/relational databases.
• Strong knowledge of API and MCP development in Python.
• Skilled in capacity planning and scalable infrastructure design.
• Experience implementing AIOps, LLMOps, and MLOps for production-grade ML pipelines.
• Understanding of privacy, cybersecurity, and AI governance frameworks.

Benefits:

• Private health insurance
• Generous vacation policy
• Continuously learning and development opportunities
• Ticket to cover food expenses on a monthly basis
• Technological devices that you may need while you're working