Crystal Intelligence

Machine Learning Engineer (Remote)

Job description

Position Summary:

We are looking for a talented Machine Learning Engineer to join our AI team. This is a remote role and we are flexible with considering applications from anywhere in Europe. As part of our AI team, you will play a crucial role in developing and deploying machine learning models, driving our efforts to integrate intelligent solutions into our products and services.

More details: crystalintelligence.com

Duties and responsibilities:

  • Design, develop, and deploy machine learning models and algorithms.
  • Choose and implement technologies for machine learning and AI development.
  • Collaborate with data scientists and engineers to integrate ML models into production systems.
  • Conduct experiments, perform rigorous testing, and ensure model accuracy and performance.
  • Continuously improve models based on user feedback and data analysis.
  • Provide code reviews, assistance, and feedback to other team members.
  • Maintain and refactor existing machine learning codebases.

Requirements:

  • 5+ years of experience in machine learning and AI.
  • Experience with managing entire code sources/projects independently;
  • Experience in a startup environment handling a code base from end to end;
  • Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn, Keras).
  • Proficiency in Python programming and familiarity with data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with model deployment and serving (e.g., Docker, Kubernetes).
  • Solid understanding of machine learning algorithms, statistical models, and deep learning.
  • Experience with version control systems (e.g., Git).
  • Strong problem-solving skills and ability to work independently.
  • Excellent communication and collaboration skills.

Would be a plus:

  • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, AI, or a related field.
  • Experience with big data technologies (e.g., Clickhouse, Snowflake, Bigquery).
  • Contribution to open-source machine learning projects (e.g., Github, Hugging Face, Replicate).
  • Knowledge of AI cloud platforms and services (e.g., AWS, Google Cloud, Together AI, Nebius AI, Cohere).
  • Experience in a startup environment and managing end-to-end machine learning projects.
  • Practical experience with natural language processing (NLP) or computer vision.
  • Passion for blockchain technologies and cryptocurrency.
  • Experience of mentoring a team and leading a project;
  • Contribution to open-source machine learning projects (e.g., Github, Hugging Face, Replicate).

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