JobHabor

AI/ML Engineer

XO Life

Location
European Union
Workplace
Remote
Employment
Full Time
Salary
Apply on the employer’s site

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Analyze, visualize, and ensure the quality of healthcare data
  • Design, prototype, and deploy ML models and algorithms
  • Ensure robust data workflows and support MLOps best practices
  • Develop and maintain scalable ML pipelines and microservices
  • Work closely with product, engineering, and business teams
  • Present findings
  • Lead cross-functional AI initiatives

Requirements

  • PhD in Computer Science, Machine Learning/AI, Statistics, or related fields, OR Master’s with 5+ years relevant experience
  • Strong foundation in mathematics, statistics, and algorithms
  • Programming: Python, JavaScript/TypeScript
  • ML/AI: Vertex AI, LangGraph, TensorFlow, PyTorch, Scikit-learn, Keras
  • Cloud: AWS, GCP
  • Data: Snowflake, Apache Superset, MongoDB, Pandas, NumPy, Jupyter
  • MLOps: Docker, Kubernetes, CI/CD, MLflow, Weights & Biases
  • ML algorithms (supervised, unsupervised, reinforcement learning)
  • Deep learning (CNNs, RNNs, Transformers)
  • Statistical methods, experimental design
  • Big data frameworks (Spark, Dask)
  • Analytical and problem-solving abilities
  • Excellent English communication
  • Independent, organized, collaborative
  • Legal right to live and work in the European Union (EU)

Preferred

  • Distributed/parallel computing
  • Software engineering best practices
  • A/B testing, experimentation frameworks
  • Edge computing, model optimization

Skills

  • Python
  • JavaScript
  • TypeScript
  • Vertex AI
  • LangGraph
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras
  • AWS
  • GCP
  • Snowflake
  • Apache Superset
  • MongoDB
  • Pandas
  • NumPy
  • Jupyter
  • Docker
  • Kubernetes
  • CI/CD
  • MLflow
  • Weights & Biases
  • Spark
  • Dask

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