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Machine Learning Engineer
Skills
Artificial IntelligenceBERTData ScienceFine TuningHealthcare Information TechnologyLangchainLarge Language Models
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.
