Develop and own production-ready machine learning, LLM, NLP, and RAG solutions within Palantir Foundry and AIP. Responsibilities include data exploration, model development, evaluation, deployment, monitoring, workflow integration, and optimization for accuracy, scalability, reliability, latency, and cost. Collaborate with engineers and business stakeholders, make architecture decisions, translate business needs into AI solutions, and communicate model behavior and limitations.
We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.
In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.
Key Responsibilities:
- Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
- Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
- Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
- Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
- Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
- Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
- Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
- Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.
Requirements:
- 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
- Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
- Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
- Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
- Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
- Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
- Strong communication skills, with the ability to explain AI concepts, technical decisions, and model 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
Similar Jobs
Artificial Intelligence • Information Technology • Consulting
Design, train, and evaluate large multimodal and vision-language-action models for robotic agents. Develop reinforcement and imitation learning methods, embodied datasets, simulation environments, world models, planning systems, and sim-to-real experiments. Build robust research software and distributed training infrastructure, validate approaches on physical robots, and collaborate with research and engineering teams to deploy reliable systems. Communicate findings through technical reports, open-source releases, demonstrations, and publications.
Top Skills:
Ci/CdComputer VisionControl SystemsDistributed CheckpointingDistributed TrainingFlashattentionFsdpImitation LearningIsaac LabIsaac SimJaxMixed-Precision TrainingMujocoMultimodal Foundation ModelsPlanningPybulletPythonQuantizationReinforcement LearningRoboticsRosTransformer ModelsVersion ControlZero
Artificial Intelligence • Information Technology • Consulting
Designs, builds, and evaluates research prototypes and production-ready systems for portable AI agents, model routing, provider interoperability, memory, retrieval, tool use, and multi-agent workflows. Responsibilities include developing evaluation frameworks, conducting statistically rigorous experiments, creating schemas and APIs, optimizing model and agent systems, and translating research into secure, reliable, reusable components. The role collaborates across research, infrastructure, security, product, and engineering teams and communicates findings through technical reports, benchmarks, demonstrations, open-source releases, and publications.
Top Skills:
Anthropic-Style ApisAPIsCi/CdData SchemasDistributed ServicesGoKnowledge GraphsLarge Language ModelsMachine LearningMcpObservabilityOpenai-Compatible ApisPythonRustTestingTypescriptVector Search
Artificial Intelligence • Information Technology • Consulting
Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.
Top Skills:
JaxPython
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
