AI/ML language Model Dev

AI/ML language Model DevDescription -AI/ML Engineer – Language Model DeveloperThis role is for an experienced Artificial Intelligence Engineer on the Marketing Data Science team at HP.  This individual will be responsible for helping the team to shape its AI strategy, specifically through the creation of AI models, such as Large Language models (LLMs) and Natural Language Processing (NLP), for Marketing.  Marketers are tasked with combing through tons of research and data to find appropriate insights; there is oftentimes too much information and too little time.  This individual will provide Marketers with curated AI tools that help them to have the right information at the right time to make the best decisions.  This is a fantastic opportunity to be part of cutting-edge AI work that enables Marketing to drive innovation and business growth.Locations: Bucharest, Romania, On-site or HybridEducation and Experience: MS in Computer Science with an AI emphasis, or related field2+ years of experience in applying AI to corporate technology solutionsExperience with cloud environments (Amazon Web Services, Google Cloud, Azure, Databricks)Responsibilities:Design the architecture and environment to enable AI models to runAssess which environments are most appropriate, whether current compute is sufficient, whether we should choose an existing model or pretrain our ownLead AI model construction to both evolve existing capabilities and create new onesApply AI to Marketing use cases to improve customer intelligence and data analyticsTeach Data Scientists how to use the created LLMs to analyze structured and unstructured dataBuild AI applications and interfaces at scale for the bigger Marketing organization to useAdvise the team on best practices for AI models (i.e. parameters, data structure, etc.)Evaluate LLM performance using different applications and file formats to identify the best solutionDebug and identify causality for issues in the AI resultsResearch new AI models and trends to understand how we can maximize the usage of our existing models and/or whether we should adopt new modelsKnowledge and Skills: Strong knowledge of ML and Deep Learning in the context of LLMs, NLPs and chatbotsExperience working with AI models using real-life (“industry”) dataExpert Python skills (PyTorch/TensorFlow, Pandas, NumPy, Matplotlib, creating functions)Mastery in tool usage (AWS, Jupyter notebook, Streamlit or similar UIs)Expertise in building and fine-tuning LLMs; experience with PEFT methods and alignment with human feedback (RLHF)Expertise in Prompt Engineering using various AI modelsUnderstanding of the differences and advantages of Llama, Falcon, and other open source LLMsExperience utilizing structured and unstructured data in LLMs (CSV, Json, TXT, PDF)Mastery in database engineering (Relational and Vector databases/Embeddings)Proficiency in AI frameworks (Langchain, Agents, Transformer Architecture etc.)Experience utilizing both Generative and Discriminative AI models for data querying and representationIn-depth knowledge of big data platforms, statistical software and machine learning algorithms packagesJob -MarketingSchedule -Full timeShift -No shift premium (India)Travel -Relocation -Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement