Mid-Level ML Engineer

New

Skills

Deep Learning Hugging Face APIs Machine Learning Pipelines Model Monitoring Model Optimization Natural Language Processing Python Programming Reproducible Experimentation Supervised Learning Unsupervised Learning

We are seeking a Mid-Level ML Engineer to design and deploy machine learning pipelines from experiments to production with limited supervision. The ideal candidate will actively contribute to various ML tasks, ensuring the stability and performance of models in production.

Key Responsibilities
  • Design and deploy ML pipelines from experiments to production.
  • Build, evaluate, and optimize models across supervised, unsupervised, and generative AI tasks.
  • Develop and maintain production-grade Python code: modular, tested, and well-documented.
  • Set up reproducible experimentation environments and pipelines.
  • Deploy and monitor ML models in production.
  • Actively contribute to LLM-based applications, including RAG systems and agent workflows.
Required Skills & Qualifications
  • Strong grasp of supervised and unsupervised ML algorithms, evaluation, and real-world trade-offs.
  • Practical experience with classification, regression, and feature engineering in production contexts.
  • Hands-on experience with deep learning frameworks: CNNs, RNNs, Transformers.
  • Solid understanding of model evaluation, bias-variance, and validation strategies.
  • Experience with at least one ML domain in depth: NLP, Computer Vision, Recommendation, or Time Series.
  • Practical experience building LLM-based applications using OpenAI, Anthropic, or Hugging Face APIs.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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