Vacancy: Junior+ ML Engineer, remote Company: MAD DEVS Salary: 1500$ gross

We are currently engaged in a B2B project in which we are actively developing a product with a broad user base. This project is headquartered in Washington, DC. We have the privilege of working closely with a team of highly skilled professionals, including designers, sales managers, and business analysts.

Required Skills:

  • Minimum 1+ year of commercial experience with NLP and LLMs
  • Familiar with technologies: Python, SQL, Pandas, Django, Pydantic, SQLAlchemy, Sklearn, PyTorch, Transformers, Git, BitBucket, CI / CD, Docker, OpenAI API, LangChain, LangGraph, LangSmith, Airflow, BigQuery
  • Knowledge of basic machine learning algorithms and metrics
  • Experience implementing machine learning models in a production environment
  • Familiarity with software development and delivery processes. Understand the key steps involved
  • Can generate clear and achievable goals for machine learning tasks/projects
  • Experience working with big data and systems to process it
  • Know how to use data analysis to identify insights and patterns that can help solve business problems
  • Knowledge of basic machine learning algorithms and metrics
  • Experience implementing machine learning models in a production environment
  • Experience developing agent systems based on popular frameworks
  • B2 English level, fluent Russian

Responsibilities:

  • Develop and implement machine learning algorithms
  • Transfer machine learning models from development to real-world application
  • Compare different approaches to solve complex business problems
  • Collaborate with customers to identify their problems and opportunities for solving them using machine learning tools
  • Develop algorithms for recommendation and ranking systems
  • Develop intelligent assistants
  • Keep models and instructions for language models up to date

It will be a plus:

  • Experience in applying hyperparametric optimization techniques to improve model performance
  • Ability to monitor models in production
  • Experience in the full ML model delivery cycle: from data collection to delivery to production and continuing support; understanding of the technical background of deliveries

Contact us: @recruiter_maddevs

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