RequirementsCore Responsibilities:Design, develop, and deploy machine learning models for production use.Collaborate with cross-functional teams (Data Engineering, Product, and Software Development) to understand and solve complex business problems using AI/ML solutions.Conduct data preprocessing, feature engineering, model selection, training, evaluation, and optimization.Implement scalable ML pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn.Monitor and maintain ML models post-deployment, ensuring performance and relevance.Stay updated with the latest trends and research in artificial intelligence and machine learning, and integrate best practices into ongoing projects.Qualification:Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.2–5 years of hands-on experience in AI/ML development.Demonstrated experience in delivering production-grade machine learning solutions.Required Skills:Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).Strong understanding of data structures, algorithms, and model evaluation metrics.Experience with NLP, computer vision, or recommendation systems is a plus.Familiarity with data handling tools (Pandas, NumPy), databases (SQL/NoSQL), and cloud services (AWS, GCP, Azure).Understanding of MLOps concepts and tools (e.g., MLflow, Docker, Kubernetes, CI/CD pipelines).Excellent problem-solving, communication, and collaboration skills.
