Machine Learning Engineer (Remote, Anywhere in Pakistan, USD Salary)

Requirements:

• BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
• 5+ years of experience after a BS degree / 4+ years after an MS degree.
• Strong foundation in software engineering, with the ability to contribute to research and production-level code.
• Deep understanding of challenges in training ML models and strategies to mitigate them.
• Familiarity with deep learning concepts, including Transformers, Retrieval-Augmented Generation (RAG), and Mixture of Experts (MoE).
• Proficiency in ML/data libraries such as pandas, transformers, and torch.
• Hands-on experience in training ML models end-to-end, covering data curation, evaluation, and deployment.
• Strong collaboration skills to work effectively with cross-functional teams.

Good to Have:

• PhD in Computer Science/Engineering with 1+ years of industry experience.
• Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author.
• Experience as an ML engineer in an early-stage, high-growth environment.
• Expertise in embedding models, rerankers, and multimodal retrieval.
• Experience in question answering and reasoning, vector databases, and BM25.
• Familiarity with planning and reasoning in large language models (LLMs).
• Knowledge of multilinguality in LLMs and NLG evaluation, including hallucination detection.

Responsibilities:

• Design, prototype, research and build AI systems. 
• Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Models (MLMs).
• Improve the quality of the RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
• Publish technical blogs, papers, and patents.