Contract: Senior Machine Learning Engineer
hace 7 días
Contract: Senior Machine Learning Engineer Join to apply for the Contract: Senior Machine Learning Engineer role at Upwork . This engagement is through Upwork’s Hybrid Workforce Solutions (HWS) Team, a global group of professionals supporting Upwork’s business. Work/Project Scope: As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/fine‑tune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact. Key Responsibilities: Train/fine‑tune large language models for query understanding and tool calling. Develop and utilize vector databases and/or knowledge graphs for information retrieval, orchestrating retrieval using databases in the loop. Investigate model explainability to enhance reliability and reduce hallucination in end‑to‑end Uma use cases. Collaborate cross‑functionally with machine learning engineers to take models from research to production. Stay current with the latest advancements in Gen‑AI and integrate relevant innovations into our systems. Publish paper in a top‑tier conference; mentor junior engineers, conduct code reviews, and enforce engineering best practices. Deliver high‑quality solutions that improve overall efficiency. Required Skills and Qualifications: Deep Learning/Artificial Intelligence (AI): 5+ years of hands‑on experience designing, training, and deploying deep learning models, specifically in NLP and Information Retrieval. Large Language Model (LLM) Fine‑Tuning/Post‑Training: Proven experience in fine‑tuning or pre‑training LLMs (e.g., Llama, GPT family, Mistral) for specific downstream tasks. Pytorch: Expert‑level proficiency in PyTorch for building, training, and optimizing complex deep learning models. Function Calling/Tool Calling/Structured Decoding: Direct experience developing and implementing models capable of structured output generation (JSON, YAML) and tool/function calling. Agentic Workflow Development: Experience designing, implementing, and orchestrating complex AI Agents or multi‑step reasoning workflows using LLMs. Reinforcement Learning (RL) / RLHF: Practical knowledge of applying RL principles, especially RLHF, to align LLMs with human preferences and improve safety. Upwork is proudly committed to fostering a diverse and inclusive workforce. We never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, a criminal background check may be run on a qualified candidate after a conditional offer is made, in accordance with applicable law. Please note that due to the high volume of candidates, we will only be able to get back to those applicants who match the requirements of the position. #J-18808-Ljbffr
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