Developer - Python with AI

Job Description - Key Responsibilities: - AI and Machine Learning Development: - Design, develop, and implement AI solutions using Python to solve complex business problems. - Develop machine learning models using scikit-learn, TensorFlow, PyTorch, or other relevant frameworks. - Work with large datasets and implement data preprocessing and feature engineering for AI model training and validation. - Integrate AI models into production environments, ensuring scalability, performance, and reliability. - Python Development and Automation: - Write efficient, reusable, and modular Python code for AI systems, data pipelines, and automation tasks. - Implement APIs, data ingestion, and data transformation pipelines to integrate AI models into business processes. - Optimize Python-based algorithms for high-performance and scalability, ensuring minimal latency in production environments. - Model Training and Evaluation: - Train, test, and validate machine learning models using appropriate algorithms and frameworks. - Perform model evaluation and optimization, including hyperparameter tuning, model validation, and performance testing. - Continuously improve model accuracy and efficiency by iterating on different algorithms and architectures. - Collaboration and Stakeholder Engagement: - Collaborate with cross-functional teams, including data scientists, business analysts, and product managers, to understand business requirements and deliver AI-driven solutions. - Communicate complex technical concepts to non-technical stakeholders, ensuring alignment with business goals and objectives. - Participate in agile development cycles, providing updates, feedback, and troubleshooting support as needed. - Data Analysis and Insights: - Analyze business and operational data to extract insights and identify trends, providing actionable recommendations to improve decision-making processes. - Develop visualization tools and reports to present the results of AI models and analytics to stakeholders. - Leverage AI to automate data-driven tasks and decision-making processes across the organization. - Model Deployment and Maintenance: - Deploy machine learning models into production environments using containerization (e.g., Docker, Kubernetes) and cloud technologies (e.g., AWS, Azure, Google Cloud). - Monitor and maintain deployed models, addressing performance issues and updating models as needed to ensure continuous optimization. - Ensure data security, privacy, and compliance when deploying AI solutions, particularly for sensitive business data. - Continuous Learning and Improvement: - Stay updated with the latest trends, technologies, and research in the fields of AI, machine learning, and Python development. - Attend training, conferences, or webinars to expand knowledge and skills in AI technologies and Python programming. - Contribute to knowledge sharing within the team by providing technical insights, documentation, and best practices. - Required Qualifications: - Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. - 2-4 years of hands-on experience with Python development in an AI/ML context. - Solid understanding of machine learning algorithms and frameworks such as scikit-learn, TensorFlow, Keras, PyTorch, etc. - Experience in data preprocessing, feature engineering, and working with structured and unstructured data. - Familiarity with cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their AI/ML offerings. - Strong knowledge of data structures and algorithms, with experience writing efficient and scalable Python code. - Experience in model deployment, monitoring, and continuous improvement of AI models. - Ability to work with APIs and integrate AI models into production systems.