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 GenAI 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, TensorFlow, or PyTorch

• Practical experience with RAG architectures, vector databases, and retrieval strategies

• Hands-on experience with LLMs, NLP, or GenAI 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.