Exacare INC
Machine Learning Engineer
Remote (Canada)
Sponsorship not specifiedDetected 23 days ago
PythonDockerKubernetesCI/CDPrometheusMachine LearningDeep LearningData ScienceNLPLLMsRAGMLOpsA/B TestingResearchCommunicationAdaptabilityOrganizational Skills
About the role
- We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team.
- If you thrive in an environment where you can quickly iterate, experiment with cutting-edge techniques, and see your work make a tangible impact, this is the role for you.
Responsibilities
- Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
- Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
- Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
- Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost.
- This includes quantization, pruning, and knowledge distillation Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data.
- You will own the end-to-end ML lifecycle, from dataset creation and foundational research to building and deploying production-grade models.
Requirements
- Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
- Direct experience with LLMs, including fine-tuning, prompt engineering, RAG, and efficient inference.
- Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning Experience in designing and curating novel datasets from scratch.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Nice to have
- Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
- Contributions to open-source ML projects or a portfolio of personal projects demonstrating a passion for the field.
- Strong, hands-on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).
- This should be the best team you have ever been on.
- Protecting that standard is how we honor each other's time, ambition, and craft.
- It deepens over time.
- We earn trust through consistent delivery.
- We keep the patient downstream of every decision At the end of the day, this is about the patient.
Skills
- Deploy models into production environments using CI/CD practices and model serving frameworks.
Benefits
- About ExaCare AI ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care.
- We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare.
- If you like building, learning, and want to make a real impact, come join us!
- About the Role We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team.
- Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
- Expert-level proficiency in Python Experience with modern deep learning frameworks, such as PyTorch.
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This listing is sourced directly from Exacare INC's careers page and normalized into a canonical job model.