Machine Learning Engineer

2 weeks ago


Lahore, Punjab, Pakistan HR POD Careers Full time
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.
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