Lead end-to-end DS/ML projects from understanding to deployment.
Build Generative AI solutions with LLMs, RAG, prompts, and AI services.
Perform EDA and process large structured and unstructured data.
Build, validate, and optimize ML/DL pipelines for scalability and reliability.
Apply MLOps and software engineering practices for quality and CI/CD.
Collaborate with tech and business teams to translate challenges into solutions.

🎯 Requirements

5+ years in Data Science and ML.
Advanced English proficiency (reading, writing, communication).
Strong DS fundamentals: EDA, predictive modeling, metrics.
Python-based ML stack: pandas, scikit-learn, PyTorch, Keras, OpenCV; SQL.
Generative AI: LLMs, RAG, Prompt Engineering; OpenAI and AWS Bedrock.
AWS cloud experience; Git, CI/CD, unit testing.

🎁 Benefits

Meal or food allowance.
Health insurance.
Dental insurance.
Online learning platform access with updated courses.
Mentoring opportunities.
Fully remote work model.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot