
Remote Machine Learning Engineer
3 days ago
Contract Type : Service contract through our partner in India, which is an umbrella company.
AI to better understand citizen sorting behaviors.
Digital tools and support to change citizen behaviors and optimize waste sorting. Are you passionate about machine learning and want to make a positive impact on our mothership and citizen behaviours?
We invite you to join our team as a Machine Learning Engineer.
Your main mission will be to deploy and optimise machine learning models in production while measuring their performance and ensuring their scalability.
Ensure scalability - from data to model, from training to deployment.
Continuous Improvement of Models : Keep an eye on the state of the art in AI and quickly adapt powerful architectures.
Data Flow Management : Handle massive incoming data flows.
Model Serving on Multiple Platforms: From Cloud to embedded systems.
Proficiency in Python
Hands-on experience with deep learning libraries like PyTorch or TensorFlow, especially for Computer Vision tasks
Knowledge of Docker or Podman is necessary
Knowledge of ca ontainer orchestration system like Kubernetes
Knowledge of an AI & ML workflow management system like Kubeflow
ML experiment management and tracking: Experience in setting up and managing CI/CD pipelines
Data and metadata analysis and organisation
Knowledge of relational databases
Data and statistics visualization tools like Grafana
Knowledge of vector databases
Experience of production model deployment on edge devices: Experience working in environments that use agile methodologies.
Have proven proactiveness in past experience.
Minimum 4-5 years of experience in ML engineering or MLOps in the field of computer vision
Language: Fluent in English with clear internet quality for proper remote communication.
Full-time contract.
~25 days paid leave per year.
~ Fully remote work, but open to discussion to have offices if preferred.
~ Competitive salary for the Indian market (based on experience).
~ Remote-first culture with flexible, asynchronous communication.
~ Full ownership and independence from day one.
~ Cutting-edge tech stack and a dynamic team working on advanced AI and cloud infrastructure.
~ A high-performance laptop will be provided for this position.
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