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Discover the Opportunity

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We’re partnering with a leading organization in artificial intelligence to hire aStaff Machine Learning Engineerwho will play a key role in building and scaling cutting-edge AI solutions.

Discover the Role

In this position, you will design, develop, deploy, and optimize machine learning models that power advanced AI systems. You’ll work closely with cross-functional teams to turn complex business challenges into high-impact AI products.

Discover the Responsibilities

• Model Development: Build, train, and deploy predictive models that enhance AI-driven solutions.

• Advanced AI Applications: Leverage state-of-the-art techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

• Cross-Functional Collaboration: Partner with stakeholders to translate business needs into scalable ML solutions.

• Model Optimization: Continuously evaluate and improve model performance in real-world environments.

• Data Engineering: Design and maintain robust data pipelines to ensure high-quality inputs for ML systems.
  

Discover the Requirements

• 8+ years of experience in AI, Machine Learning, Reinforcement Learning, or Data Science.

• Master’s or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field.

• Strong expertise in Large Language Models and advanced fine-tuning techniques.

• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

• Experience with Generative AI tools like LangChain, Weaviate, LangGraph, or LlamaIndex.

• Advanced programming skills in Python.

• Competitive programming or data science background (e.g., ACM/ICPC, IOI/NOI, Kaggle) is a strong plus.

Relocation support is provided if nessesary