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#vacancy #job #MachineLearning #MLEngineer #Python #AI Good day! Junior+ / Middle- ML Engineer. Salary: up to $2500 gross Remote (Russia, Belarus, Ukraine) We have a new position available: Machine Learning Engineer. We are looking for an engineer who will work at the intersection of Machine Learning and Software Engineering: participating in the development of ML pipelines, helping to deploy models to production, working with containerization, integration, monitoring, and support of ML services. This role is ideal for a specialist with a strong foundation in Python and Machine Learning, who has already worked with ML frameworks and wants to further develop in the area of production ML / MLOps. Key responsibilities: * Participate in the development and maintenance of data pipelines for ML models. * Assist with the deployment, containerization, and integration of ML models into a production environment. * Work closely with Senior ML Engineers, Data Scientists, and developers. * Write clean and testable code, participate in code reviews. * Help configure monitoring and logging for ML services and ensure their reliability. * Troubleshoot issues in ML pipelines and deployment infrastructure. * Participate in the development of Proof of Concepts (PoCs) for new ML features. What's important: * At least 2 years of commercial experience as a Software Engineer, ML Engineer, Data Scientist, or Data Engineer. * Good knowledge of Python. * Understanding of basic Machine Learning algorithms and data preprocessing methods. * Practical experience with one or more ML frameworks: PyTorch, TensorFlow, Keras. * Basic hands-on experience with Docker. * Experience or familiarity with cloud environments: AWS, Azure, or GCP. * Understanding of workflow orchestration tools, such as Airflow, Kubeflow, or Argo. * Knowledge of software testing principles, CI/CD, and code quality. * Good English - a mandatory requirement. * Bachelor's or Master's degree in Computer Science or a related field. Nice to have: * Familiarity with LLM frameworks - LangChain, LangGraph, or LlamaIndex. * Understanding of RAG architectures. * Experience or knowledge in the field of NLP. * Understanding of ML monitoring principles and tools such as DataDog or Langfuse. * Cloud certifications from AWS or other providers. We are looking for someone who can quickly get up to speed on new tasks, is comfortable working in a dynamic environment, and wants to develop not only in models but also in their full production lifecycle. Are you interested in talking? Please write in Telegram: [handle] [Would suggest to connect with him with short brief about your work and your resume/portfolio] Follow the ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳 channel on WhatsApp for more such job updates: [link]

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