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AI/ML Engineer (all)

Xolife
🌏 Worldwide
Remote
9 months ago
  • AI/ML
  • AI
  • Machine Learning
  • MLOps
  • Microservices
  • Python
  • JavaScript
  • TypeScript
  • Vertex AI
  • LangGraph
  • TensorFlow
  • PyTorch
  • scikit-learn
  • AWS
  • GCP
  • Snowflake
  • Apache Superset
  • MongoDB
  • Pandas
  • NumPy
  • Jupyter
  • Docker
  • Kubernetes
  • CI/CD
  • MLflow
  • Weights & Biases
  • CNNs
  • Dask
  • System Design
9 months ago
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We seek an experiencedAI/ML Engineer to drive innovation in artificial intelligence and machine learning, combining research with practical implementation. You'll design and deploy ML models, analyze data, and collaborate with cross-functional teams to deliver impactful solutions.Machine Learning Model Development
  • 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
ML Infrastructure & Operations
  • Ensure robust data workflows and support MLOps best practices
  • Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining
Collaboration & Leadership
  • Work closely with product, engineering, and business teams to deliver impactful AI solutions
  • Present findings, lead cross-functional AI initiatives
Your Education & Experience
  • 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 Qualifications
  • Distributed/parallel computing
  • Software engineering best practices
  • A/B testing, experimentation frameworks
  • Edge computing, model optimization
Please note: you must have the legal right to live and work in the European Union (EU). Applications from candidates residing outside the EU cannot be considered.
  • Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.
  • True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.
  • International team: Join colleagues from 14+ nationalities, united by a shared vision.
  • 100% remote with best IT equipment: Enjoy full remote work, regular team events, and top-notch equipment.
  • Initial Screening: Technical phone/video introductory and experience call.
  • Leadership Interview: Discussion focused on leadership principles, values, and cultural fit.
  • Technical Deep Dive: In-depth discussion of applied ML/AI topics, including live coding and system design.

AI/ML Engineer (all) · Xolife

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