Data Scientist - AI/ML Engineer

6+ years of professional experience in AI/ML, Machine Learning Engineering, Data Science, Software Engineering, or a related field.

Strong proficiency in Python and experience writing production-quality code.

Solid understanding of machine learning concepts, including supervised and unsupervised learning.

Hands-on experience with ML frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.

Strong experience working with data using tools such as Pandas and NumPy.

Experience with exploratory data analysis, feature engineering, model evaluation, hyperparameter tuning, and performance optimization.

Understanding of APIs, software development workflows, and integrating ML models into applications.

Experience with Git/version control and basic software engineering best practices.

Strong problem-solving, analytical, and data interpretation skills.

Ability to work independently, manage project deliverables, and meet deadlines within a short project timeline.

Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.