AI Engineer
New
M
ModusDigital Product Engineering
MexicoFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep LearningNLPLLMMLOpsGenerative AI
Requirements
- Strong proficiency in Python and experience developing 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).
- Experience with Deep Learning concepts, neural networks, and modern model architectures.
- Practical experience with PyTorch and/or TensorFlow.
- Experience with Natural Language Processing (NLP) including text processing, embeddings, semantic search, and classification.
- Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and vector-based retrieval.
- Experience integrating AI/ML APIs, foundation models, and third-party AI services into applications.
- Understanding of MLOps and model deployment including versioning, monitoring, and CI/CD.
- Experience with data engineering concepts including data preparation, transformation, pipelines, and storage for AI/ML workloads.
- Strong software engineering fundamentals with a focus on maintainability, scalability, testing, and code quality.
Responsibilities
- Design, build, and deploy intelligent solutions using modern Machine Learning, Deep Learning, and Generative AI technologies.
- Manage the end-to-end AI/ML lifecycle from initial experimentation and model development to integration and production deployment.
- Collaborate with engineering, product, and data teams to translate complex business challenges into scalable AI-powered solutions.
- Implement RAG pipelines and integrate foundation models with third-party AI services.
- Maintain production-grade ML workflows including versioning, monitoring, and CI/CD.
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