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Senior Machine Learning Engineer
TALENTMATE
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
PythonJava or GoMachine learning and deep learningNatural language processingPyTorch, TensorFlow, or scikit-learnGenerative AI and LLM applications
Free
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PythonJava or GoMachine learning and deep learning
Role Overview
Lead the design and delivery of production-grade machine learning and generative AI systems for complex product and business problems at scale.
Own architecture and implementation across data pipelines, feature stores, training workflows, model serving, experimentation, and observability.
Key Skills for This Role
PythonJava or GoMachine learning and deep learningNatural language processingPyTorch, TensorFlow, or scikit-learnGenerative AI and LLM applications
Full Job Posting
Role Overview
Lead the design and delivery of production-grade machine learning and generative AI systems for complex product and business problems at scale.
Own architecture and implementation across data pipelines, feature stores, training workflows, model serving, experimentation, and observability.
Core Responsibilities
- Develop use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications.
- Build RAG, tool-use, evaluation, and safety capabilities for generative AI systems.
- Optimize model selection, distributed training and inference, GPU utilization, model compression, prompts, retrieval, reliability, latency, and cost.
- Define drift detection, retraining strategies, evaluation, model risk, and responsible AI controls.
- Mentor engineers and create reusable engineering patterns and platform capabilities.
Required Qualifications
- Expert-level Python programming and strong software engineering expertise in Java or Go.
- Deep knowledge of machine learning, deep learning, and optimization for structured data, NLP, search, ranking, and recommendation.
- Experience designing and operating end-to-end ML systems from data ingestion and experimentation through deployment and lifecycle management.
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