ai engineer for predictive analytics

Описание

The company develops AI-driven solutions within the Palantir Foundry and AIP ecosystem for analytics, automation, and decision-making.

Its solutions integrate machine learning and LLM-based capabilities into production workflows.

Задачи

• Develop and enhance machine learning and AI models for predictive analytics, classification, forecasting, and AI-assisted workflows
• Build AI and ML solutions within Palantir Foundry using Python, Foundry pipelines, Ontology objects, and workflows
• Apply LLMs and NLP techniques, including prompt engineering, fine-tuning, embeddings, and retrieval-augmented workflows, using Palantir AIP
• 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 according to established team standards and best practices
• Work 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 Gen AI trends and contribute ideas under the guidance of senior team members

Требования

• 3+ Years of experience in machine learning, AI engineering, or applied data science
• Strong Python skills and experience with ML libraries such as scikit-learn, XGBoost, Tensor Flow, or Py Torch
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or Gen AI use cases, including prompt design, embeddings, text classification, or summarization
• Practical understanding of the ML lifecycle, including data preparation, feature engineering, model training, evaluation, and iteration
• Experience working with structured data, including tabular and time-series data
• 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: Experience with 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 AWS, GCP, Azure, Docker, or Kubernetes

Условия

• Flexible working format: remote, office-based, or flexible
• Competitive salary and good compensation package
• Personalized career growth
• Professional development tools, including a mentorship program, tech talks, trainings, and centers of excellence
• 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.
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