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Overview
We are looking for a Junior+ / Middle ML Engineer to work on ML pipelines, deployment, and support of ML services. Strong Python and ML framework experience required.
Responsibilities
- •Participate in the development and support of data pipelines for ML models.
- •Assist with deployment, containerization, and integration of ML models into production.
- •Collaborate with Senior ML Engineers, Data Scientists, and developers.
- •Write clean and testable code, participate in code reviews.
- •Help set up monitoring and logging for ML services and maintain their reliability.
- •Troubleshoot issues in ML pipelines and deployment infrastructure.
- •Participate in the development of PoC for new ML features.
Conditions
- •Familiarity with LLM frameworks — LangChain, LangGraph, or LlamaIndex is a plus.
- •Understanding of RAG architectures.
- •Experience or knowledge in NLP.
- •Understanding of ML monitoring principles and tools like DataDog or Langfuse.
- •Cloud certifications from AWS or other providers.
Requirements
- •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 — e.g., Airflow, Kubeflow, or Argo.
- •Knowledge of software testing principles, CI/CD, and code quality.
- •Good English is a mandatory requirement.
- •Bachelor’s or Master’s degree in Computer Science or a related field.
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