Software engineer- AI Developer

• Developing AI Models and Algorithms:
• Designing, building, and training machine learning and deep learning models.
• Implementing algorithms for tasks like natural language processing (NLP), computer vision, and predictive analytics.
• Integrating AI into Applications:
• Embedding AI functionalities into existing software systems and applications.
• Developing APIs and interfaces for AI-powered features.
• Data Handling and Processing:
• Working with large datasets, including data cleaning, preprocessing, and feature engineering.
• Ensuring data quality and integrity for AI model training.
• Collaboration and Communication:
• Working closely with data scientists, engineers, and stakeholders.
• Communicating technical concepts to non-technical audiences.
• Optimization and Deployment:
• Optimizing AI models for performance, scalability, and efficiency.
• Deploying AI solutions to production environments.
• Staying Current with AI Trends:
• Continuously learning and researching the latest AI technologies and advancements.
• Experience in Angular, .Net, C#, MySQL, Angular is added advantage

Work Experience

Essential Skills:

• Programming Languages:
• Proficiency in Python, and potentially other languages like Java, or C++.
• Machine Learning and Deep Learning Frameworks:
• Experience with libraries like TensorFlow, PyTorch, and scikit-learn.
• Data Science Skills:
• Knowledge of data analysis, statistical modeling, and data visualization.
• Cloud Computing:
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
• Software Development Skills:
• Understanding of software development principles and practices.