Senior Machine Learning Scientist & Engineer

Senior Machine Learning Scientist & Engineer

Position Overview:

Lambert Nemec Group is partnering with a respected and innovative organization in their search for a Senior Machine Learning Scientist & Engineer. This role is designed for a hands-on practitioner who enjoys operating at the intersection of applied research and real-world engineering, ensuring AI systems perform safely, reliably, and cost-effectively in production environments.

This opportunity is well-suited for professionals who want to move beyond theoretical models and see their work deployed quickly. The successful candidate will play a central role in advancing how AI features are evaluated, monitored, and validated as the organization continues to scale its machine learning capabilities.

Key Responsibilities:

• Lead the design, optimization, and lifecycle management of prompts used in LLM-powered features
• Build and maintain synthetic datasets to support testing, validation, and ongoing evaluation
• Design and execute experiments that measure model accuracy, robustness, safety, and cost efficiency
• Define and monitor key performance indicators such as reliability, drift, latency, and regression risk
• Develop evaluation pipelines, dashboards, and alerting mechanisms to support production monitoring
• Apply rigorous statistical methods to generate reproducible insights and actionable findings
• Investigate production issues and collaborate with engineering and product teams on mitigation strategies
• Contribute to documentation, validation frameworks, and operational best practices

Requirements:

• Bachelor’s degree in Computer Science, Statistics, or a related discipline; advanced degree preferred
• Demonstrated experience working with LLMs, prompt design, or applied machine learning in production
• Strong proficiency in Python and SQL, with experience using ML or statistical frameworks
• Solid grounding in experimental design, statistical inference, and data-driven evaluation
• Proven ability to implement observability and monitoring for model outputs
• Experience building production-quality systems, not just research prototypes
• Excellent communication skills and the ability to collaborate in fast-paced, low-bureaucracy environments

Rewards:

• Competitive compensation package reflective of experience and impact
• Opportunity to own end-to-end prompt evaluation and validation frameworks
• Remote-first work environment available to Canadian residents
• Exposure to meaningful, production-grade AI challenges with real business impact
• Supportive leadership and a culture that values accountability, craftsmanship, and ethical AI

To Apply:

If you are interested in this opportunity, please forward your resume (in Word format) directly to Mario Tomberli, Director of Recruiting, at referencing “Senior Machine Learning Scientist & Engineer” in the subject line of your email. To view other opportunities currently available, please visit: -opportunities/index.html#/jobs

We thank all applicants in advance; however, only those individuals who best meet our client’s specifications will be contacted. All other resumes will be kept on file for future consideration.