At Instaleap we are seeking a talented Machine Learning (ML) engineer to join our Logistics team. As an ML engineer, you will be responsible for designing, implementing, and maintaining machine learning models and algorithms that drive key business decisions and enhance the impact of our products. You will collaborate closely with cross-functional teams including data engineers, software engineers, and product managers to develop innovative solutions that leverage machine learning techniques. 

The ideal candidate should have a strong background in mathematics, statistics, and computer science, along with extensive experience in machine learning frameworks and tools (Python, TensorFlow, or related).

What would you do?

• Own the entire ML lifecycle (e.g. ML pipeline design, development, maintenance, optimization, troubleshooting, and so forth) while ensuring high adherence to industry's best practices.
  
• Write specifications, documentation, and user guides for developed applications.
  
• Deploy machine learning models to end-users and run experiments.
  
• Mentor developers and contribute to the growth of the team's overall expertise in machine learning and personalization.
  
  

🙌🏼 Your experience has been shaped by

• BSc or MSc in Computer Science, Statistics, Engineering, or a related science/tech field focusing on machine learning.
  
• 2+ years of experience in engineering and ML methods.
  
• Experience with both SQL and NoSQL databases.
  
• Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar technologies.
  
• Proven experience with small/medium-scale systems and the ability to adapt to a fast-paced, rapidly evolving environment.

🚀 Your SuperPowers

• Excellent problem-solving and analytical skills, with a passion for optimizing algorithms and models for high performance.
  
• Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.

🪄 What we bring to the table

• 🌎 Hybrid Work: Work together as a team.
• 👩🏿‍💻 Flexible hours: We trust your work and skills.
• 🏖️ Additional days off to vacations.
• 🎂 Half day off on your birthday.
• 📚 Access to Educational Budget.
• 💻 Workstation Paid BYOD or company-provided machine. Different options to satisfy your palate.
• 🏥Health insurance: Get the attention and care that you deserve. Available in some countries.