Senior Machine Learning Engineer I, AI Governance
New
O
OptroSaaS, Audit, Risk
Canada; United States; RemoteFull-TimeSenior
Salary$160K - $220K; $160K – $220K • Offers Bonus • 15% Annual Target bonus
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Job Details
- Experience
- 4 plus years
- Required Skills
- PostgreSQLPythonJavaKubernetesMachine LearningPyTorchTensorflowLLM
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of hands-on experience in developing and deploying machine learning models.
- Ability to write scalable production-quality code.
- Proficiency in classical machine learning methods and LLM techniques.
- Excellent programming skills in Python, Java, or similar languages.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
- Familiarity with search/information retrieval and ranking systems.
- Strong communication and collaborative skills.
- Analytically minded with a focus on metrics and evaluation.
- Preferred: Experience with Node.JS, modern ES6, or TypeScript.
- Preferred: Experience working on SaaS web applications.
- Preferred: Basic understanding of distributed systems.
- Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure.
Responsibilities
- Build, ship, and own product features end-to-end.
- Collaborate with designers and product managers to create high-performing features.
- Apply classical ML and LLM techniques (RAG, prompt engineering, fine-tuning, semantic search) with a focus on reliability.
- Write well-designed, maintainable, and testable code.
- Produce clear and well-defined design documentation.
- Troubleshoot, debug, and resolve software bugs.
- Participate in the Agile software development life cycle.
- Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, and Kubernetes.
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