AI/ML Engineering Manager

Caylent

New Remote

Remote Senior 🇬🇧 English

AWS SageMaker Bedrock Anthropic API OpenAI API Google Gemini API Azure OpenAI PyTorch TensorFlow JAX Scikit-learn XGBoost HuggingFace LangChain LlamaIndex DSPy Ollama MLflow Airflow Dagster Kubeflow CI/CD IaC Apache Spark PySpark Apache Kafka Amazon Kinesis Apache Iceberg Delta Lake Apache Hudi AWS Glue Pinecone pgvector Amazon OpenSearch Weaviate

Job description

About the role

Cayetlent, an AI‑first cloud services firm, is looking for a senior AI/ML Engineering Manager to lead both client‑facing technical engagements and the growth of its ML engineering team. This fully remote position reports to the Director of AI/ML.

Key responsibilities

Hire, develop, and manage a team of ML engineers and architects, setting technical standards and conducting performance reviews.
Lead end‑to‑end customer engagements: assess environments, design architecture, drive pre‑sales, and ensure delivery meets Caylent’s quality standards.
Shape practice standards, create reference architectures, and mentor engineers through real projects.

Required profile

10+ years of hands‑on machine‑learning experience with a proven record of leading client‑facing consulting engagements.
Demonstrated people‑management skills, including hiring, performance calibration, and career development.
Deep expertise in the AWS ML ecosystem and at least two ML domains (e.g., computer vision, NLP, generative AI).

Required skills

AWS services: SageMaker, SageMaker Pipelines, Feature Store, Model Registry, Clarify, Bedrock, Rekognition, Comprehend, Transcribe, Textract, Personalize, Neptune, Kinesis, Polly.
ML frameworks and tools: PyTorch, TensorFlow, JAX, Scikit‑learn, XGBoost, HuggingFace, LangChain, LlamaIndex, DSPy, Ollama, MLflow, Weights & Biases.
Data and orchestration platforms: Apache Spark/PySpark, Kafka, Kinesis, Iceberg, Delta Lake, Hudi, AWS Glue, Airflow/MWAA, Dagster, Kubeflow.
Vector databases and retrieval: Pinecone, pgvector, Amazon OpenSearch, Weaviate.
Foundation model adaptation: LoRA, QLoRA, PEFT, RLHF, DPO, inference optimization, RAG, agentic system design.

Questions fréquentes

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Published 4 days ago

Expires 1 month from now

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