Director of Machine Learning
2 weeks ago
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 You will lead a 6-10 person team of people leaders, overseeing ML engineers, architects, and consultants to deliver cutting-edge AI/ML solutions on AWS. You will drivepractice 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 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.). 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. We are committed to fair, transparent, and inclusive hiring practices. If you have any questions, please contact . Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 . #J-18808-Ljbffr
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Machine Learning Engineer
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Canada BayOne Solutions Full timeHi, Job Title: Machine Learning Engineer Location: Canada, Remote Duration: 9+ months with possible extension Payrate: CAD 60 to 65/hr. on T4 Must have languages: Python, SQL, (Scala or Java). Must have skills: PyTorch, Huggingface transformers, Deep Learning, Spark/Hadoop, MLOps Requirements: - BS or MS in Computer Science or equivalent experience -...
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