Director of Machine Learning
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
Role Overview
Director, AI/ML Practice Leader. You will lead a 50 - 100 team of ML engineers, architects, and consultants to deliver cutting-edge AI/ML solutions on AWS. You will drive practice strategy, technical innovation, and operational excellence, while building high-value partnerships with AWS and scaling the practice for growth.
This role demands a leader who is as comfortable shaping consulting offerings and go-to-market initiatives as they are diving deep into the technical stack to guide solution architecture, MLOps strategy, and large-scale ML deployments.
Key Responsibilities
- Delivery Excellence: Oversee execution of complex AI/ML engagements across industries, ensuring on-time delivery, customer satisfaction, and AWS Well-Architected compliance.
- Strategic Leadership: Define the vision, roadmap, and operating model for the AI/ML practice aligned with company objectives and AWS innovations.
- Practice Development: Build and mature the consulting practice through development of offerings, accelerators, delivery frameworks, and knowledge management.
- Technical Oversight: Serve as an executive-level technical authority—guiding architecture decisions, reviewing high-impact designs, and ensuring use of best practices in ML engineering and MLOps.
- Business Growth: Partner with sales, alliances, and AWS field teams to drive pipeline, co-sell initiatives, and joint customer success stories.
- Talent & Culture: Attract, mentor, and retain top technical and consulting talent, fostering a culture of innovation, continuous learning, and delivery excellence
Technical Focus Areas & Core Stack
- AWS ML & Data Services: SageMaker, Bedrock, Glue, EMR, S3, Lambda, EC2, IAM
- Infrastructure & Automation: Docker, Git, AWS CDK or Terraform, MLFlow, CI/CD pipelines
- ML Frameworks & Libraries: PyTorch, TensorFlow, JAX, Keras, HF Transformers, Triton, TorchServe, DJL
- Data Processing & Distributed Compute: Pandas, Polars, DASK, Ray
- Generative AI: Model fine-tuning, RAG pipelines, deployment on AWS-native and open-source stacks
Qualifications
- Consulting Leadership: 10+ years of consulting/professional services experience, with at least 5 years leading AI/ML or data practices
- Deep AWS Expertise: Proven track record architecting and delivering enterprise-scale ML solutions using AWS services (SageMaker, Bedrock, Glue, EMR, etc.).
- Business Acumen: Experience with practice P&L management, offering development, and AWS co-sell motions.
Benefits
- 100% remote work
- Equitable Life - Hybrid Plan
- 100% Premium Coverage for the employee and dependents
- Competitive phantom equity
- Long-Term Disability
- 4% Pension match (employer contribution)
- Unlimited Vacations
- Sick Leave
- Paid Holidays
- Parental Leave
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
- Equipment & Office Stipend
- Individual professional development plan
- Annual stipend for Learning and Development
- Work with an amazing worldwide team and in an incredible corporate culture
Base Salary Range: The expected base salary range for this position is CAD $207,000 - $240,000 per year, commensurate with experience and qualifications.
Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.
NOTE: We’re unable to provide visa sponsorship now or at any time in the future.
At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.
We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.Create a Job Alert
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