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описание
SoftServe is an IT services and consulting company that provides software development, cloud, and AI solutions to global clients. The organization operates a dedicated AI and Data Science Center of Excellence focused on developing advanced NLP, RAG, and multimodal AI projects.
задачи
Implement and maintain end-to-end ML pipelines for data ingestion, feature engineering, model training, and deployment;
Build and support LLMOps pipelines using tools like MLflow, Langfuse, or LangSmith;
Collaborate with Data Scientists and Senior Engineers to develop production-ready ML solutions for NLP, RAG, and multimodal models;
Contribute to the development of agentic systems and multi-agent workflows using frameworks such as LangGraph or CrewAI;
Support and improve ML infrastructure, including CI/CD pipelines, cloud environments, data stores, and monitoring;
Integrate and package ML services into applications while maintaining high code quality standards;
Configure and maintain workflow orchestration pipelines using Kubeflow, Airflow, or Databricks Workflows.
требования
At least 2 years of hands-on experience building and deploying ML solutions in Cloud production environments;
Solid Python proficiency for model development and service integration;
Familiarity with LLMOps and experiment tracking tools like MLflow, Langfuse, or LangSmith;
Understanding of CI/CD practices for ML systems and workflow orchestration tools;
Experience with cloud-based AI/ML services on AWS, Azure, or GCP;
Basic knowledge of agentic AI concepts and frameworks like LangGraph or CrewAI;
Master’s degree in Computer Science or a related field;
English B2 (Upper-intermediate) or higher (spoken and written).