Machine Learning Engineer
7 days ago
On behalf of our client, an international leader in digital innovation and professional certification, we are seeking a
Machine Learning Engineer
to join their growing AI team.
What you'll do
You'll work on applied machine learning and generative AI projects that deliver real-world impact across platforms. You'll design, fine-tune, and deploy models that enhance intelligent products and services, collaborating closely with cross-functional teams.
Key Responsibilities
- Design, train, and evaluate ML and generative AI models for enterprise and product applications.
- Develop and maintain pipelines for experimentation, benchmarking, and deployment.
- Collaborate with Data and MLOps Engineers to ensure seamless data management and production readiness.
- Apply responsible AI practices by testing for bias, robustness, and explainability.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field (Master's or PhD a plus).
- 3+ years of hands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Expertise with foundation models (LLMs, transformers, multimodal).
- Strong programming skills in Python and familiarity with cloud ML platforms (ideally Azure or AWS/GCP).
- Proven record of delivering ML projects from concept to production.
- Excellent command of English; additional languages are a plus.
Nice to Have
- Experience with prompt engineering, RAG systems, or frameworks such as LangChain or Semantic Kernel.
What's in it for you
- Competitive compensation and performance-based rewards.
- Continuous learning opportunities and free certification vouchers.
- International exposure and a dynamic, collaborative work culture.
- Clear opportunities for career growth and professional development.
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