Key Responsibilities:Developing ML/AI Models: Design, implement, and deploy machine learning algorithms and models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.Data Preprocessing and Analysis: Clean, preprocess, and analyze large datasets to derive actionable insights for model development.Building APIs and Integrations: Develop RESTful APIs and integrations for deploying ML models into production environments.Performance Optimization: Optimize algorithms and models for scalability, speed, and accuracy.Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver ML/AI solutions.Model Testing and Validation: Conduct rigorous testing and validation of ML models to ensure robustness and reliability.Documentation: Document code, processes, and experiments to facilitate knowledge sharing and collaboration.Continuous Learning: Stay updated with the latest advancements in ML/AI technologies and frameworks.Required Skills and Qualifications:Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field.Proven experience (minimum 3 years) as a Python Developer with expertise in building and deploying ML/AI solutions.Strong programming skills in Python and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, pandas, NumPy).Solid understanding of machine learning algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning).Experience with data preprocessing, feature engineering, and model evaluation.Proficiency in deploying ML models in cloud environments (e.g., AWS, Azure, Google Cloud).Excellent problem-solving skills and ability to think critically.Strong communication skills and ability to collaborate effectively within a team.Experience with version control systems (e.g., Git) and agile development practices.