Hiring: Middle AI/ML Engineer Company: N-iX Location: Kyiv, Ukraine Job Posted Time: 2026-09-16 14:41:46 Employment Type: Remote Target Skills & Keywords : AWS, Azure, Docker, Foundry, GCP, Kubernetes, LLM, Machine Learning, NLP, PyTorch, Python, RAG, TensorFlow, XGBoost, scikit-learn About the job Experience: •3+ years of experience in machine learning, AI engineering, or applied data science. Required Skills: •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. •Partner cross-functionally 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. Qualifications: •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 •Applied hands-on capability in 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. •Operational familiarity with enterprise data environments and collaborative development workflows. •Demonstrated capacity to clearly explain model results and AI behavior to non-technical stakeholders. •Proficiency in Foundry Ontology, Object Builders, and Code Repositories. •Knowledge of data privacy, compliance, and security best practices in AI applications. •Operational familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!