Caylent

Caylent

AI/ML Engineering Manager

CANADA · Senior

No sponsorship$152k-$234kDetected 60 days ago
ElasticsearchVector DatabasesAWSAzureDockerKubernetesTerraformCI/CDDevOpsKafkaMachine LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringNLPComputer VisionLLMsRAGAgentic AILLMOpsMLOps

About the role

  • Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation.
  • At Caylent, our people always come first.

Responsibilities

  • Build a team that raises the practice's overall standard.
  • Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
  • Evaluate customer environments end-to-end - infrastructure, data pipelines, model lifecycle, and organizational readiness - and produce recommendations that drive executive decisions and open the door to the next engagement.
  • Drive architecture and solution design from kickoff through delivery - setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
  • These tools are designed to support - not replace - human decision-making.
  • Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
  • This is a senior role for someone who leads from both directions at once - deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects.

Requirements

  • Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team.
  • The expectation is the same in both cases - you are the person the engagement depends on technically.

Skills

  • Strategic Advisory
  • Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
  • PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
  • Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact.

Compensation

  • The expected base salary range for this position is CAD $152,000 - $234,000 per year, commensurate with experience and qualifications.
  • In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives.

Benefits

  • Medical Insurance for you and eligible dependents
  • Generous holidays and flexible PTO
  • Competitive phantom equity
  • Peer bonus awards
  • Equipment & Office Stipend
  • Annual stipend for Learning and Development
  • You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales.
  • 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
  • Deep expertise in at least two or three ML domains - whether classical ML, computer vision, NLP, time series, or others - combined with the judgment to assess, architect, and advise across the broader ML landscape.

Company info

  • Help customers build ML systems they can actually own and sustain - translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
  • We are a fully remote global company with employees in Canada, the United States and Latin America.

Equal opportunity

  • We are proud to be an equal opportunity employer.

Visa & Work Authorization

  • NOTE: We are unable to provide sponsorship for this position.
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This listing is sourced directly from Caylent's careers page and normalized into a canonical job model.