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AI Engineer

AZinec5k–6k USD
company:Product
pythonpalantir foundryscikit-learnpytorchtensorflowsqlawsazuregoogle cloud
llmmlops
experience3+ years
domainAI
locationUzhhorod, Ukraine
> full description

We are looking for an AI/ML Engineer with hands-on experience working in the Palantir ecosystem (Foundry and/or Gotham). You will design, build, and deploy scalable machine learning solutions and data-driven applications that solve complex business problems. You will work closely with product, engineering, and data teams to operationalize AI/ML models in production environments using Palantir’s platform.

Key Responsibilities

  • Design, develop, and deploy machine learning models using Python and modern ML frameworks
  • Build end-to-end data pipelines and workflows using Palantir Foundry/Gotham
  • Translate business requirements into scalable AI/ML solutions
  • Develop and maintain production-grade ML systems, including monitoring and performance optimization
  • Work with large, complex datasets and ensure data quality and governance standards
  • Collaborate with stakeholders to define use cases and deliver actionable insights
  • Integrate ML models into operational systems and applications via Palantir tooling
  • Support data modeling, ontology design, and semantic layer development in Foundry
  • Optimize existing pipelines for performance, scalability, and cost efficiency
  • Document architectures, workflows, and model lifecycle processes

Required Skills & Experience

  • 3+ years of experience in AI/ML engineering, data science, or related roles
  • Strong hands-on experience with Palantir Foundry and/or Gotham
  • Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
  • Experience building and deploying production ML systems
  • Strong understanding of data engineering concepts (ETL/ELT, data pipelines, distributed systems)
  • Experience working with large-scale structured and unstructured data
  • Knowledge of SQL and data modeling principles
  • Experience with API development and integration of ML models into applications
  • Familiarity with cloud environments (AWS, Azure, or GCP)
  • Strong problem-solving and analytical thinking skills

Preferred Qualifications

  • Experience with Ontology modeling in Palantir Foundry
  • Experience with AIP (Artificial Intelligence Platform) or LLM integration in Foundry
  • Familiarity with MLOps tools and practices (CI/CD for ML, model monitoring, etc.)
  • Experience in enterprise or government-scale data environments
  • Background in mathematics, statistics, computer science, or engineering

Soft Skills

  • Strong communication skills with both technical and non-technical stakeholders
  • Ability to work in cross-functional teams
  • Ownership mindset and ability to drive projects independently
  • Comfortable working in fast-paced, ambiguous environments
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