Caylent

4 Jobs

654 Employees

About the Company

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using AWS. We are living in a software-defined world where technology is at the core of every business. To thrive in this paradigm, organizations need to empower their people and processes through technology. Caylent is uniquely positioned to fuel that engine of innovation by bringing ambitious ideas to life for our customers.

Listed Jobs

Company Name: Caylent
Job Title: Manager, Project Management
Job Description: Job title: Manager, Project Management Role Summary: Lead and mentor a high‑performing team of 6–8 Agile Project Managers to deliver complex AWS engagements, ensuring execution excellence, financial stewardship, and client satisfaction. Expectations: Coach project managers, drive operational excellence, scale governance, and maintain hands‑on involvement in at least one delivery project. Key Responsibilities: - Recruit, onboard, evaluate, and develop a team of project managers. - Oversee engagement health, forecasting, budgeting, and stakeholder satisfaction. - Lead delivery of large‑scale, client‑facing AWS projects ($1M+ budgets, 5+ team members). - Collaborate with Engineering, Talent, and Sales on resource planning and portfolio management. - Define and evolve Agile delivery standards, governance processes, and reporting frameworks. - Identify process gaps and implement continuous improvement initiatives within the PMO. Required Skills: - 15+ years of project or program management in professional services or consulting. - 10+ years in technology, with strong cloud or software development background. - 5+ years of client‑facing delivery experience and 5+ years managing/project‑manager teams. - Proven track record delivering cloud‑native AWS projects. - Certified Scrum Master (CSM, PSM, or equivalent). - Executive‑level communication, stakeholder management, and executive reporting skills. - Forecasting, budgeting, and operational metrics expertise. Required Education & Certifications: - Bachelor’s degree in Business, Technology, or related field (or equivalent experience). - Certified Scrum Master (CSM, PSM, or equivalent). - AWS certifications preferred (AWS Cloud Practitioner, AWS Certified Solutions Architect, etc.).

Company Name: Caylent
Job Title: Machine Learning Architect
Job Description: Job Title: Machine Learning Architect Role Summary Design, implement, and govern end‑to‑end machine learning solutions on AWS. Lead cross‑functional teams through Agile lifecycles, translate customer requirements into technical backlogs, and ensure delivery of production‑grade ML applications that meet business objectives. Expectations * Serve as the technical lead for ML initiatives, ensuring architectural excellence and operational reliability. * Mentor junior engineers and collaborate with senior staff to advance ML capabilities within the organization. * Advocate for best practices in DevOps, MLOps, and cloud security throughout the development pipeline. Key Responsibilities * Translate business requirements into detailed architecture designs and feature backlogs. * Define and enforce IaC standards using CloudFormation, CDK, or Terraform for model deployment environments. * Design and maintain robust ML pipelines leveraging Amazon SageMaker, TensorFlow, PyTorch, MXNet, or Scikit‑learn. * Implement MLOps tooling (MLflow, Neptune, Comet) to facilitate experiment tracking, model registry, and lifecycle management. * Oversee CI/CD workflows, branching strategies, automated testing, and runtime monitoring for ML services. * Debug and resolve issues across development, staging, and production environments. * Produce scalable, maintainable code with comprehensive unit and integration tests. * Communicate architecture decisions, design rationale, and operational procedures to stakeholders, including non‑technical audiences. * Conduct backlog grooming, requirement workshops, and architecture discussions with product and engineering leads. * Guide the team in feature engineering, hyperparameter tuning, and optimization strategies. * Adopt emerging technologies to continuously improve the ML stack. Required Skills * Extensive experience designing scalable ML systems on AWS (SageMaker, EC2, ECS/EKS, Lambda). * Proficiency with IaC tools (CloudFormation, CDK, Terraform). * Deep knowledge of ML frameworks: TensorFlow, PyTorch, MXNet, Scikit‑learn. * Familiarity with MLOps platforms: MLflow, Neptune, Comet. * Strong grasp of ML concepts—feature engineering, hyper‑parameter tuning, model evaluation, and deployment. * Demonstrated experience with CI/CD pipelines, DevOps practices, and container orchestration (EKS, ECS). * Solid coding skills (Python, Bash, or equivalent) with a focus on test‑driven development. * Excellent communication, stakeholder management, and mentoring abilities. * Agile facilitation experience (stand‑ups, retrospectives, backlog grooming). * Ability to translate complex technical details into clear, actionable guidance for diverse audiences. Required Education & Certifications * Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related technical field (or equivalent professional experience). * Certifications in AWS (e.g., AWS Certified Solutions Architect – Associate/Professional) and/or AWS Certified Machine Learning – Specialty are strongly preferred. ---

Canada

Remote

19-11-2025

Company Name: Caylent
Job Title: Director of Machine Learning
Job Description: **Job title:** Director of Machine Learning **Role Summary:** Lead a 6‑10 person practice of ML engineers, architects, and consultants to design, build, and deliver enterprise‑scale AI/ML solutions on AWS. Drive practice strategy, technical innovation, and operational excellence while partnering with sales, alliances, and AWS teams to grow the pipeline and client success. **Expactations:** - Steering a high‑performing ML practice from vision to execution. - Demonstrating deep technical expertise and consulting leadership with measurable business impact. - Building scalable go‑to‑market offerings, accelerators, and delivery frameworks. - Cultivating a culture of continuous learning, mentorship, and customer-centric delivery. **Key Responsibilities:** - Oversee end‑to‑end delivery of complex AI/ML engagements ensuring on‑time, on‑budget, Well‑Architected compliance. - Define vision, roadmap, and operating model for the AI/ML practice. - Develop and mature consulting offerings, accelerators, and knowledge management. - Provide executive‑level technical guidance: architecture decisions, high‑impact design reviews, ML engineering standards, and MLOps best practices. - Partner with sales, alliances, and AWS field teams to generate pipeline, co‑sell, and create joint success stories. - Recruit, mentor, and retain top technical and consulting talent. **Required Skills:** - 10+ years in consulting/professional services, 5+ years leading AI/ML or data practices. - Proven architect/deployer of enterprise‑scale ML solutions on AWS (SageMaker, Bedrock, Glue, EMR, EC2, Lambda, IAM, S3). - Deep knowledge of Docker, Git, CI/CD, MLFlow, MLOps pipelines. - Proficiency with PyTorch, TensorFlow, JAX, Keras, Hugging Face Transformers, Triton, TorchServe, DJL. - Experience in Pandas, Polars, DASK, Ray, distributed compute, data processing, generative‑AI fine‑tuning, RAG pipelines. - Strong leadership, communication, and partnership skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - AWS Certified Machine Learning – Specialty (or equivalent). - Relevant MLOps or Cloud certifications (e.g., AWS Certified DevOps Engineer).