AI/ML Engineer
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Job Description
AI/ML Engineer at XO Life developing ML models for digital health solutions. Collaborating with cross-functional teams to drive innovation in artificial intelligence and improve healthcare outcomes.
Responsibilities:
- Analyze, visualize, and ensure the quality of healthcare data to extract actionable insights
- Design, prototype, and deploy ML models and algorithms in collaboration with data scientists and engineers
- Ensure robust data workflows and support MLOps best practices
- Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining
- Work closely with product, engineering, and business teams to deliver impactful AI solutions
- 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
- Technical Skills: 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
- Domain Expertise: ML algorithms (supervised, unsupervised, reinforcement learning)
- Deep learning (CNNs, RNNs, Transformers)
- Statistical methods, experimental design
- Big data frameworks (Spark, Dask)
- Soft Skills: Analytical and problem-solving abilities
- Excellent English communication
- Independent, organized, collaborative
- Preferred: Distributed/parallel computing, Software engineering best practices, A/B testing, experimentation frameworks, Edge computing, model optimization
- Must have the legal right to live and work in the European Union (EU).
Benefits:
- 100% remote with best IT equipment
- Regular team events
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