Machine Learning Engineer jobs in United States

Machine Learning Engineer (Freelance) - 12 Months - Dubai, United Arab Emirates

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About the Role

Our client is seeking a Machine Learning Engineer for a groundbreaking AI-driven project in Dubai. This freelance position offers a unique opportunity to work on mission-critical systems with global scale, building AI-native products that truly matter.

Key Responsibilities

1. Architect and deploy scalable machine learning pipelines (feature engineering, training, validation, deployment, monitoring)
2. Research, experiment with, and implement state-of-the-art ML models (transformers, diffusion models, self-supervised learning, RLHF, etc.)
3. Own end-to-end model lifecycle from idea to model serving in production (fast iteration, zero manual steps)
4. Fine-tune LLMs on proprietary datasets for domain-specific reasoning and generation tasks
5. Collaborate with backend and MLOps engineers to build real-time inference APIs (milliseconds, not seconds)
6. Optimize models for inference speed, memory, and scalability using ONNX, TensorRT, quantization, pruning
7. Continuously evaluate model performance with statistical rigor, A/B testing, and bias/fairness analysis

Technical Skills

1. 5+ years of hands-on experience in ML (ideally across multiple domains NLP, CV, tabular)
2. Strong proficiency in Python, PyTorch (or TensorFlow), Hugging Face, and scikit-learn
3. Experience deploying models in production using FastAPI, Docker, Kubernetes, and CI/CD pipelines
4. Proven track record with vector databases (FAISS, Pinecone, Weaviate) and embedding search
5. Experience with data versioning and experiment tracking (MLflow, DVC, Weights & Biases)
6. Deep understanding of ML theory (loss functions, regularization, optimization, evaluation metrics)
7. Exposure to multi-GPU training, distributed systems, and model parallelism a big plus
8. Bonus: Experience with LLM fine-tuning, LangChain, RAG, or custom GPT-style model builds

Other Requirements

1. Dubai-based (hybrid or onsite) preferred
2. Open to remote for exceptional candidates in the region (UAE, KSA, Qatar, Egypt, Lebanon)
3. Highly competitive freelance rate or full-time salary
4. Access to compute credits, private datasets, and accelerator labs
5. Visa + relocation support if needed

Work on mission-critical systems with global scale, collaborate with world-class engineers, scientists, and product minds, and get access to the latest research and tools before they're public.

Build real AI-native products that matter no hype, just deep tech impact.

Upload your CV today to join our elite network of IT professionals.