HR POD - Hiring Talent Globally
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
Senior ML Engineer
Job not on LinkedIn
12 hours ago
HR POD - Hiring Talent Globally
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
đź“‹ Description
• Design, prototype, research, and build AI systems for the Company. • Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs). • Improve the quality of the Company’s AI Agents and RAG-as-a-service platform, including features such as agentic behavior, hallucination reduction/correction, and agent orchestration. • Publish technical blogs, research papers, and patents.
🎯 Requirements
• BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. • 5+ years of experience after BS/MS. • Strong software engineering fundamentals. • Basic knowledge of training and evaluating ML models. • Familiarity with deep learning concepts such as Transformers, Retrieval-Augmented Generation (RAG), and Mixture of Experts (MoE). • Proficiency with data/ML libraries such as pandas, transformers, and torch. • Hands-on experience training ML systems end-to-end, from data curation to evaluation and deployment. • Knowledge of state-of-the-art open-source models for tasks such as retrieval, reranking, and multimodal LLMs. • Ability to collaborate effectively with cross-functional teams. • PhD in Computer Science/Engineering with 1+ years of industry experience. • Publications in top-tier venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR as a key author. • Experience as an ML engineer in an early-stage, high-growth environment. • Expertise includes embedding models, rerankers, multimodal retrieval, question answering, reasoning, vector databases, and BM25. • Skilled in planning and reasoning in LLMs, multilinguality in LLMs, and NLG evaluation, including hallucination detection.
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