▷ [15h Left] Data Scientist, Advanced

Remote Work Hybrid Overview At Zebra we are a community of innovators who come together to create new ways of working to make everyday life better United by curiosity and care we develop dynamic solutions that anticipate our customer s and partner s needs and solve their challenges Being a part of Zebra Nation means being seen heard valued and respected Drawing from our diverse perspectives we collaborate to deliver on our purpose Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations their employees and those they serve You have opportunities to learn and lead at a forward-thinking company defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally We ve only begun reimaging the future - for our people our customers and the world Let s create tomorrow together Helps translate high level business problems into actionable and tangible Data Science projects Analyzes designs develops implements and maintains data science constructs algorithms programs Statistical Machine Learning Models decision support system Artificial Augmented Intelligence systems using structured unstructured diverse big data sources of from measurement systems IoT human observations to provide real life business problem solutions and product features enhancements Work is accomplished without considerable direction Exerts significant latitude in determining objectives of assignment to create tangible impact in driving success factors and great experience for our customers and product users Highly skilled and motivated Data Scientist LLM Specialist to join our AI ML team This role is ideal for an individual passionate about Large Language Models LLMs workflow automation and customer-centric AI solutions You will be responsible for building robust ML pipelines designing scalable workflows interfacing with customers and independently driving research and innovation in the evolving agentic AI space Responsibilities Experience experience in ML NLP or AI-related roles with a focus on LLMs and generative AI Programming Skills Proficiency in Python and experience with ML frameworks like TensorFlow PyTorch LLM Expertise Hands-on experience in training fine-tuning and deploying LLMs e g OpenAI s GPT Meta s LLaMA Mistral or other transformer-based architectures Foundational Model Knowledge Strong understanding of open-weight LLM architectures including training methodologies fine-tuning techniques hyperparameter optimization and model distillation Data Pipeline Development Strong understanding of data engineering concepts feature engineering and workflow automation using Airflow or Kubeflow Cloud MLOps Experience deploying ML models in cloud environments like AWS GCP Google Vertex AI or Azure using Docker and Kubernetes Model Serving Optimization Proficiency in model quantization pruning distillation and knowledge distillation to improve deployment efficiency and scalability Research Problem-Solving Ability to conduct independent research explore novel solutions and implement state-of-the-art ML techniques Strong Communication Skills Ability to translate technical concepts into actionable insights for non-technical stakeholders Version Control Collaboration Proficiency in Git CI CD pipelines and working in cross-functional teams Nice-to-Have Experience with Reinforcement Learning RLHF for LLMs Knowledge of vector databases and retrieval-augmented generation RAG architectures Familiarity with multi-modal AI models vision-language models speech-to-text etc Understanding of agentic AI frameworks e g AutoGPT LangChain LlamaIndex Hands-on experience with Google Vertex AI Pipelines AutoML and model monitoring We are seeking LLM enthusiast with a knack for research customer interaction and building impactful AI solutions Qualifications Education Bachelor s Master s Ph D in Computer Science Machine Learning AI Data Science or a related field B Tech M Tech PhD in CS ML Statistics Preferably 8 years experience as Data Scientist OR in related field Statistics Operation Research OR as System Architect Enterprise Architect Design and conduct Analysis Experiments Plan Analysis and address competing explanations Determine best way to evaluate results Explore structured and unstructured data appropriately Apply appropriate algorithms Clearly document and articulate findings Incorporate Analysis into pipelines and pipelines into business Engineering stack Read write data to from any format location incorporate complex matching and filtering Make work compatible with suitable for engineering stack Discover needs of business Navigate Business organization structure package technical work for diverse audiences Build the profession Mentor Coach Junior Data scientists enable upskill citizen data scientists Problem Solving Critical Thinking Good business intuition Programming and Coding Python R Mathematics and Statistics Equivalent to Graduate level Stat 101 and Math 101 Machine Learning Deep Learning AI Communication Appropriate articulation Data Architecture Risk Analysis Systems Engineering To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers please be aware our recruiters will always connect with you via email accounts Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system If you are a victim of identity theft contact your local police department