In this role, you'll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model-serving infrastructure, online experimentation, and observability. You'll drive advanced use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications, including RAG, tool use, evaluation harnesses, and safety controls. Your work will directly shape performance, reliability, latency, and cost efficiency in live environments.
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Location: Dubai, Dubai, AE
Requirements:
- Expert-level programming skills in Python, with strong software engineering expertise in languages such as Java or Go
- Deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems
- Extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management
- Strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn)
- Practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails
- Deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation
- Strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms
About You:
You bring 7-9+ years of experience in software engineering and machine learning, with a track record of leading and delivering complex, production-scale AI systems. You combine strong product judgment with technical depth, translating ambiguous business problems into scalable, high-impact AI solutions. You thrive in complex, fast-moving environments and bring clarity, ownership, and strategic thinking to drive long-term platform success.
Work Conditions:
- Expected Travel: 0 - 10%
- Career Status: Professional
- Employment Type: Regular Full Time
- Additional Locations: #LI-Hybrid
