AI/ML Engineer: NLP, LLMs & Generative AI

Magnum Technologies, Inc.

United States

Remoto

USD 140.000 - 200.000

Tempo pieno

4 giorni fa
Candidati tra i primi
Generatore di candidature

Ricevi una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Descrizione del lavoro

Magnum Technologies, Inc. seeks a senior ML/AI specialist to advance ML foundations, NLP, transformers, and LLM-driven systems across products.

You will work with PyTorch/TensorFlow, RAG, vector databases, and knowledge graphs, delivering scalable AI solutions in cloud environments.

Responsibilities include building ML governance, security, and deployment pipelines with Kubernetes, Docker, and CI/CD, collaborating cross-functionally.

Competenze

  • ML/AI fundamentals, evaluation methodologies, and model selection.
  • Deep learning frameworks experience (PyTorch/TensorFlow).
  • NLP, transformers, LLMs, and generative AI knowledge.
  • Hands-on with RAG, vector databases, knowledge graphs, and AI agents.
  • Proficiency in Python and Java; proficiency with APIs, microservices, and distributed systems.
  • Strong cloud experience with Azure OpenAI, AWS SageMaker, or Vertex AI.
  • Experience with Databricks, Snowflake, Spark, Kafka in data engineering.
  • Kubernetes, Docker, CI/CD (GitHub Actions/Azure DevOps), Terraform, cloud-native arch.

Conoscenze

ML fundamentals
NLP
Transformers
Deep Learning
LLMs
Agentic AI
Python
Java
APIs
Distributed systems

Strumenti

PyTorch
TensorFlow
RAG
Vector databases
Knowledge graphs
AI agents
Azure OpenAI
Azure AI Services
AWS SageMaker
Google Vertex AI
Databricks
Snowflake
Spark
Kafka
Kubernetes
Docker
GitHub Actions
Azure DevOps
Terraform

Descrizione del lavoro

Magnum Technologies, Inc. seeks a senior ML/AI specialist to advance ML foundations, NLP, transformers, and LLM-driven systems across products.

You will work with PyTorch/TensorFlow, RAG, vector databases, and knowledge graphs, delivering scalable AI solutions in cloud environments.

Responsibilities include building ML governance, security, and deployment pipelines with Kubernetes, Docker, and CI/CD, collaborating cross-functionally.

Ottieni la revisione del curriculum gratis e riservata.

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