Caylent
AI/ML Engineering Manager
USA · Senior
No sponsorship$140k-$215kDetected 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.
- 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 $140,000 - $215,000 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
- 401k plan with company match up to 4% and immediate vesting
- Competitive phantom equity
- Dental and Vision insurance
- Term Disability Insurance
- Term Life Insurance
- Flexible Spending Account
- Equipment & Office Stipend
- Annual stipend for Learning and Development
- Unlimited Paid Time Off, following a 90-day probationary period
- 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.
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.
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.