AI/Machine Learning Engineer
5 days ago
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
-
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