AI / ML Scientist

Requirements

• 2–4 years of hands-on experience in data science or applied machine learning.
• Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face.
• Strong skills in data wrangling, feature engineering, and model evaluation.

Experience with generative AI and large language models (e.g., transformers, embedding).

• Ability to build scalable end-to-end AI pipelines.
• Experience with cloud-based ML platforms (AWS, GCP, or Azure).
• Ability to stay current with emerging AI / ML trends and apply new techniques to solve real-world problems

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive insurance plans.
• Collaborative and supportive work environment
• Chance to learn and grow with a talented team.
• A positive and fun work environment.

Skills Required

data wrangling , Tensorflow, Pytorch, Gcp, XGBoost, Azure, Python, Aws