Key Responsibilities

• Design and implement machine learning models for classification, regression, clustering, and recommendation systems.
• Build and maintain scalable data pipelines for training and inference.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems.
• Perform data preprocessing, feature engineering, and model evaluation.
• Optimize model performance to ensure robustness and scalability.
• Stay up to date with the latest research and advancements in machine learning and AI.

Candidate Profile

• 3+ years of experience in machine learning or data science roles.
• Strong programming skills in Python and experience with libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, or similar.
• Solid understanding of machine learning algorithms and statistical modeling.
• Experience with data preprocessing, feature selection, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools.
• Experience working with large datasets and distributed computing frameworks is a plus.
• Strong problem-solving skills and ability to work independently and collaboratively in a team.