
Senior Machine Learning Engineer
- Valencia
- Permanente
- Tiempo completo
- Design, develop, and deploy AI and ML solutions using LangChain, TensorFlow, PyTorch, and Hugging Face.
- Build and maintain data pipelines (ETL/ELT) for structured and unstructured data using tools such as Airflow, Azure Data Factory, or AWS Glue.
- Implement and optimize LLM applications, including Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Weaviate).
- Deploy and monitor models on Azure Machine Learning, AWS SageMaker, Bedrock, and open-source MLOps frameworks such as MLflow or Kubeflow.
- Develop APIs (REST, GraphQL) for seamless integration of AI models into business applications.
- Apply security and compliance best practices, including RBAC, encryption, and responsible AI guardrails.
- Optimize infrastructure for cost efficiency, scalability, and performance using Docker, Kubernetes, and serverless architectures.
- Automate workflows with Terraform, Bicep, or AWS CDK for cloud infrastructure provisioning.
- Collaborate with stakeholders to translate business needs into AI solutions with measurable impact.
- 5+ years of experience in machine learning, AI application development, or related engineering roles.
- Proven track record of delivering production-grade AI systems in multi-cloud environments.
- Strong programming skills in Python and SQL, with solid software engineering practices (testing, CI/CD, version control).
- Experience with LLMs and Generative AI development, fine-tuning, and deployment.
- Hands-on expertise in multi-cloud ML services (Azure ML, AWS SageMaker, Bedrock) and open-source frameworks.
- Proficiency in designing scalable APIs and integrating AI into enterprise architectures.
- Strong problem-solving skills with the ability to work independently and deliver on deadlines.