LLM Scientist/Engineer INTL Nearshore Mexico/Brazil
Insight Global - Chicago, IL
Apply NowJob Description
Job Description What we need: "ƒCandidates with Gen AI hands on project experience at least 1-2 projects must be on the PLATFORM side "ƒCandidates are falling short on fundamental concepts and experience building genAI platforms "ƒWe need strong hands-on experience building production grade applications. "ƒLLMOps "ƒRAG/Langchain "ƒGenAI The project scope has increased from building MVP to enterprise grade platform and the LLMOps Scientists will be responsible for scaling, new feature additions, enhancements, and onboarding of models. The addition of the AI Project Manager is a net new add to bring aboard more AI specific knowledge to the services being currently provided. The LLMOps Engineering service and an additional one (1) Senior Technical Program Manager is being added in now that we have released classical ML monitoring platform (Phase 1), for Phase 2 the team is extending it to LLM, so our service will need LLMOps expertise and additional Technical Program Management to complete this work. United Airlines is seeking a talented and experienced LLMOPS Data Scientist to join our growing team. As a member of our Data Science group, you will play a crucial role in developing and deploying state-of-the-art language models and ensuring their responsible and efficient operation. If youre passionate about natural language processing (NLP), machine learning (ML), and operationalizing AI, this role is for you We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . "ƒ"ƒ"ƒ To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: . Skills and Requirements 1."ƒModel Architecture and Understanding: o"ƒDemonstrate a deep understanding of transformer architectures, including LLMs (Language Models), and their applications in NLP tasks. o"ƒFamiliarity with RNNs (Recurrent Neural Networks) and LSTMs (Long Short-Term Memory networks). 2."ƒResponsible AI and Performance Metrics: o"ƒExperience working with Responsible AI practices, including validators for toxicity, profanity, bias, and prompt injection. o"ƒProficiency in performance metrics such as BLEU, ROUGE, MAUVE, and Bleurt. o"ƒFamiliarity with LLM-based scoring methods. 3."ƒModel Fine-Tuning and Open Source Libraries: o"ƒHands-on experience with fine-tuning LLMs using techniques like LORA, QLORA, and RLHF (Reinforcement Learning from Human Feedback). o"ƒProficiency in using open-source libraries such as Hugging Faces datasets, ragas, textstat, torch, and Huggingface. 4."ƒRAG Use Cases and Anthropic Collaboration: o"ƒCollaborate with the Anthropic team and work on RAG (Retrieval-Augmented Generation) use cases. o"ƒApply LLMs to solve real-world problems and enhance user experiences. 5."ƒAWS and Platform Experience: o"ƒStrong working knowledge of AWS (Amazon Web Services) for deploying and scaling ML models. o"ƒHands-on experience with cloud-based infrastructure and services. 6."ƒMLOPS and Engineering Pipelines: o"ƒDesign, implement, and maintain ML engineering pipelines. o"ƒEnsure smooth model deployment, monitoring, and maintenance. Qualifications: "ƒExperience: o"ƒMinimum 3 years of hands-on experience in LLMOPS/MLOPS roles. o"ƒDemonstrated expertise in TensorFlow, PyTorch, Langchain, Scikit-learn (Sklearn), Argo, Docker, Spark, Postgres, and Redis. o"ƒFull lifecycle experience with classical ML models and LLMs, including EDA (Exploratory Data Analysis), training, inference, monitoring, and fine-tuning. o"ƒCode-heavy experience with designing and implementing ML pipelines. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .
Created: 2024-09-30