Senior AI machine learning / Data sceince developer to $6000

About the role

We’re looking for a Senior Machine Learning / Data Science Engineer to join an international AI-focused team working on real-world, production-level ML solutions.

This is a hands-on role for someone who has built, deployed, and scaled ML models in production, not just experimented in notebooks.

What you’ll be working on

• Designing, building, and improving machine learning models for real-world use cases
• Working with large, complex datasets (structured & unstructured)
• Developing and optimizing data pipelines and feature engineering processes
• Deploying ML models into production environments and maintaining them
• Collaborating with engineers, product, and stakeholders to translate business problems into ML solutions
• Monitoring model performance and continuously improving accuracy and efficiency

What we’re looking for

• 6–10 years of experience in Machine Learning / Data Science roles
• Strong background in Machine Learning algorithms (supervised & unsupervised learning)
• Solid experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
• Experience working with data processing tools (Pandas, NumPy, SQL, Spark — at least some of these)
• Proven experience deploying ML models to production
• Understanding of model evaluation, monitoring, and optimization
• Ability to work independently and take ownership of solutions

Nice to have

• Experience with cloud platforms (AWS, GCP, Azure)
• MLOps experience (CI/CD for ML, model monitoring, pipelines)
• Background in AI-driven products or startups
• Experience working in remote, distributed teams

What we offer

• Salary: $4,000–6,000 USD (depending on experience and skill level)
• Fully remote work
• Opportunity to work on meaningful AI problems, not PoC-only projects
• Flexible working hours
• Long-term collaboration potential

Who this role is for

This role is ideal for a senior-level ML / Data Science engineer who:

• enjoys solving complex problems
• is comfortable owning ML solutions end-to-end
• wants to work on applied AI, not academic research only