AI Engineer (Python, Machine Learning, Generative AI/LLMs)

Modus-create
Mexico
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Scalability","Maintainability","Testing","Code quality"]

Design, build, and deploy AI-powered solutions across the full ML lifecycle, from experimentation and model development to production integration. Collaborate with engineering, product, and data teams to translate business challenges into scalable applications using machine learning, deep learning, and generative AI (LLMs). Work hands-on with NLP, embeddings, semantic search, RAG pipelines, and MLOps practices including deployment, monitoring, versioning, and CI/CD.

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FursaFursa
Modus-create
Modus-create
1 week ago

AI Engineer (Python, Machine Learning, Generative AI/LLMs)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Design, build, and deploy AI-powered solutions across the full ML lifecycle, from experimentation and model development to production integration. Collaborate with engineering, product, and data teams to translate business challenges into scalable applications using machine learning, deep learning, and generative AI (LLMs). Work hands-on with NLP, embeddings, semantic search, RAG pipelines, and MLOps practices including deployment, monitoring, versioning, and CI/CD.
Location: Mexico
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and build intelligent solutions using modern machine learning, deep learning, and generative AI technologies.
  • •Own work across the AI/ML lifecycle, including experimentation, model development, and production deployment.
  • •Implement NLP capabilities such as text processing, embeddings, semantic retrieval, and generation/classification tasks.
  • •Develop and integrate Retrieval-Augmented Generation (RAG) pipelines and vector-based retrieval systems.
  • •Integrate AI/ML APIs, foundation models, and third-party AI services into applications, supporting MLOps workflows like versioning, monitoring, and CI/CD.

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •Strong proficiency in Python and experience building production-ready AI/ML applications and services.
  • •Solid experience with machine learning, including model development, evaluation, optimization, and implementation.
  • •Hands-on experience building applications using generative AI and large language models (LLMs).
  • •Practical experience with PyTorch and/or TensorFlow, plus deep learning concepts and modern model architectures.
  • •Experience with NLP (e.g., embeddings, semantic search, classification/generation) and retrieval, including Retrieval-Augmented Generation (RAG) pipelines and vector-based retrieval.
Experience:Generative AIMachine learningNLPMLOps
Skills:CollaborationScalabilityMaintainabilityTestingCode quality
Languages:English
Tech Stack:PythonMachine LearningDeep LearningGenerative AILLMsPyTorchTensorFlowNLPNatural Language ProcessingRAGEmbeddingsSemantic SearchVector-Based RetrievalMLOpsCI/CDAWSGitHubAtlassianJira

Company Brief

Modus-create
Digital transformation consultancy delivering product design, cloud-native engineering, DevOps, and organizational change services to help enterprises build and scale modern digital products and platforms.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Raleigh, United States
Founded: 2007
WebsiteLinkedIn