Senior Machine Learning Engineer
Softserve
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- Ubicación
- Remoto (países elegibles no informados)
- Modalidad
- Remoto
- Jornada
- Jornada completa
- Publicado
- 21 oct
La fuente no informa: contrato, experiencia, sueldo, cierre.
Resumen
- Design end-to-end machine learning pipelines covering data ingestion, feature engineering, model training, optimization, and production deployment to support reliable AI solutions
- Build and maintain LLMOps pipelines using experiment tracking and observability tools to improve model reproducibility, prompt management, and production visibility across ML systems
- Collaborate with data scientists, engineers, and clients to transform business requirements into production-ready solutions for NLP, retrieval-augmented generation, and multimodal AI applications
- Develop agentic systems and…
Requisitos y detalle del puesto
- Strong experience with building and deploying production-grade machine learning solutions, supported by at least three years of hands-on industry experience
- Advanced knowledge of Python across the machine learning and data science ecosystem, including model development, packaging, and service integration
- Hands-on expertise with LLMOps, AgentOps, and experiment tracking tools such as MLflow, Langfuse, LangSmith, and Weights & Biases
- Solid understanding of CI/CD/CT practices for machine learning systems together with workflow orchestration platforms including Databricks Workflows, Kubeflow, or Airflow
- Proven experience with cloud-based AI and machine learning services on AWS, Azure, or Google Cloud Platform
- Working knowledge of agentic AI frameworks such as LangGraph, CrewAI, or similar technologies for building autonomous and multi-agent systems
- Master’s degree in Computer Science or a related field
- Strong communication skills with Upper-Intermediate or higher English proficiency, enabling effective collaboration with cross-functional teams and clients
Dónde postular
- Get on Board ↗ · visto por primera vez el 31 oct
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