Artificial Intelligence Architect

Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. - Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. - Streamlit -- Python - Generative AI - HuggingFace , OpenAi and any Custom Model development experience - Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). - In-depth knowledge of machine learning techniques, algorithms, and model evaluation. - Familiarity with big data technologies, cloud platforms, and distributed computing. - Excellent problem-solving abilities and analytical thinking. - Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. - Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members. Skills: Machine Learning, Artificial Intelligence, Natural Language Processing Experience: 9.00-14.00 Years