Senior AI/ ML Engineer

Posted 2 months agoViewed
CanadaFull-TimeAI/ML
Company:Lazer
Location:Canada
Languages:English
Seniority level:Senior, 6+ years
Experience:6+ years
Skills:
AWSPythonArtificial IntelligenceGCPMachine LearningPyTorchAzureData engineeringTensorflowCI/CDSoftware Engineering
Requirements:
At least 6 years of experience as a Machine Learning or AI Engineer working with Python, JS/TS, Go, or similar languages. Comfortable working with frameworks such as PyTorch, TensorFlow or similar frameworks and ecosystems. Comfortable operating across cloud environments (AWS, GCP, Azure) and leveraging tools like Vertex AI, SageMaker, or Databricks. Proven ability to architect, build, train, and deploy production-grade AI models. Hands-on experience building or integrating AI-powered features (e.g., RAG, recommendation systems, semantic search, predictive analytics, etc.). Strong understanding of machine learning and neural network architecture, including data preprocessing, model evaluation, and serving at scale. Strong knowledge of MLOps/LLMOps best practices, including monitoring, CI/CD for ML, and production deployment. Experience building and maintaining scalable data infrastructure (e.g. data pipelines, feature stores, and data lakes). Strong understanding of software engineering fundamentals. Track record of translating complex AI concepts into practical client solutions, ideally in consulting or fast-moving environments. Proven experience working in a consulting or client-facing role with the ability to manage client expectations and timelines.
Responsibilities:
Engage with clients to understand their problems, needs, goals, and technical environments. Architect and build scalable AI systems from data ingestion to model training to serving and monitoring. Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability. Build and integrate AI services and APIs into applications, collaborating closely with product and full-stack teams. Design and build scalable data pipelines and data lakes as needed. Conduct experiments, analyze results, and iterate quickly to maximize model and system performance. Communicate tradeoffs and risks transparently, supporting client decision-making. Collaborate with other engineers and cross-functional teams to deliver impactful results. Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.
About the Company
Lazer
101-250 employeesCustomer Service
View Company Profile
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