Middle AI/ML Engineer

We are looking for a **Middle AI/ML Engineer** to develop and enhance AI\-driven solutions within the Palantir Foundry and AIP ecosystem. In this role, you will focus on building and iterating on machine learning and LLM\-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision\-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production\-ready AI solutions. **Responsibilities:** * Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI\-assisted workflows. * Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows. * Apply LLMs and NLP techniques (e.g. prompt engineering, fine\-tuning, embeddings, retrieval\-augmented workflows) using Palantir AIP for enterprise use cases. * Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference. * Conduct experiments, evaluate model performance, and iterate on features and model approaches. * Integrate AI models into Foundry workflows to surface insights and support business processes. * Support model deployment and monitoring by following established team standards and best practices. * Work closely with business and domain stakeholders to translate requirements into practical AI\-driven solutions. * Document model behavior, assumptions, and limitations to support transparency and compliance. * Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members **Requirements:** * **3\+ years** of experience in machine learning, AI engineering, or applied data science. * Strong Python skills; experience with ML libraries such as scikit\-learn, XGBoost, TensorFlow, or PyTorch. * Practical experience with RAG architectures, vector databases, and retrieval strategies * Hands\-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization). * Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration. * Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus. * Familiarity with enterprise data environments and collaborative development workflows. * Ability to clearly explain model results and AI behavior to non\-technical stakeholders. * Upper\-Intermediate English or higher. **Nice to have:** * Proficiency in Foundry Ontology, Object Builders, and Code Repositories. * Experience in big pharma or highly regulated industries. * Knowledge of data privacy, compliance, and security best practices in AI applications. * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). **We offer\*:** * Flexible working format \- remote, office\-based or flexible * A competitive salary and good compensation package * Personalized career growth * Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) * Active tech communities with regular knowledge sharing * Education reimbursement * Memorable anniversary presents * Corporate events and team buildings * Other location\-specific benefits * not applicable for freelancers