Machine Learning Engineer

Skills
Artificial IntelligenceBERTData ScienceFine TuningHealthcare Information TechnologyLangchainLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong background in Machine Learning, Deep Learning, NLP, LLMs, and Transformers
  • Experience with machine learning frameworks and tools (TensorFlow, PyTorch, Hugging Face, Vertex AI)
  • Strong programming skills in Python and data processing libraries (Pandas, NumPy)
  • Proficiency in data preprocessing, cleaning, and labeling
  • Expertise in model evaluation techniques, accuracy metrics, hyperparameters and fine-tuning
  • 2+ years of industry experience building, deploying, and scaling ML models and big data projects in production environments
  • Effective collaborator within cross-functional teams and with stakeholders
  • Master's degree in Computer Science, Machine Learning, Data Science, or a related field

Nice to have

  • Artificial Intelligence
  • BERT
  • Data Science
  • Fine Tuning
  • Healthcare Information Technology
  • Langchain
  • Large Language Models
  • Mlops
  • Machine Learning
  • Pandas
  • Python

Day to day

  • Join a lean and innovative team to develop the best AI-driven smart care management platform.
  • Transform healthcare by integrating ML, NLP, LLMs, and Generative AI to enable proactive population-scale care.
  • Take responsibility from R&D rapid prototypes to production-ready solutions.