Qualifications
Key Responsibilities: Design and improve machine learning and AI models for predictive analytics, classification, forecasting, and AI-supported workflows. Create AI and ML solutions in Palantir Foundry utilizing Python alongside existing Foundry pipelines, Ontology objects, and workflows. Employ LLMs and NLP techniques (e.g., prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) leveraging Palantir AIP for enterprise applications. Collaborate with data engineers to comprehend data sources, maintain data quality, and prepare datasets for model training and inference. Execute experiments, assess model performance, and refine features and modeling approaches. Incorporate AI models into Foundry workflows to reveal insights and bolster business processes. Assist in model deployment and monitoring by adhering to established team standards and best practices. Engage with business and domain stakeholders to translate requirements into effective AI-driven solutions. Document model behaviors, assumptions, and limitations to ensure transparency and compliance. Stay abreast of AI and GenAI trends; contribute innovative ideas under the mentorship of senior team members.
About the job
nix is looking for a Mid-Level Machine Learning and AI Engineer based in Ukraine. This role centers on building and refining AI-driven solutions within the Palantir Foundry and AIP platforms. The focus is on developing machine learning models and large language model (LLM) solutions, then integrating them into Foundry workflows to support analytics, automation, and better decision-making.
What You Will Do
- Design, develop, and iterate on machine learning and LLM-based solutions
- Integrate AI models into Palantir Foundry workflows
- Work alongside data engineers, business analysts, and domain experts to deliver production-ready AI solutions
- Contribute technical expertise to projects that drive measurable results
Collaboration
This position involves close teamwork with colleagues from different backgrounds. Expect to partner with data engineers, business analysts, and subject matter experts to ensure AI solutions meet business needs and are ready for production use.
