Middle Machine Learning Engineer

Kyiv - Ukraine

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

We are looking for a Middle Machine Learning Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role you will focus on building and iterating on machine learning and LLM-based solutions integrating them into Foundry workflows to support analytics automation and decision-making. You will collaborate closely with data engineers business analysts and domain experts to deliver practical production-ready AI solutions.

Key Responsibilities:

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.
Apply LLMs and NLP techniques (e.g. prompt engineering fine-tuning embeddings retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
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 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.
Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

3 years 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.
Hands-on experience with 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.
Experience working with structured data (tabular time series); exposure to text or unstructured data is a plus.
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:

Proficiency in 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 cloud platforms (AWS GCP or Azure) and containerization (Docker Kubernetes).

We offer*:

Flexible working format - remote office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
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

Required Experience:

We are looking for a Middle Machine Learning Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.In this role you will focus on building and iterating on machine learning and LLM-based solutions integrating them into Foundry workflows to support analytic...