Key Responsibilities:
- AI Agent Development:Design, develop, and deploy AI-powered agents for various applications, including conversational AI, automation, and decision-making systems.
- Machine Learning Implementation:Build, train, and fine-tune machine learning models using libraries such as TensorFlow, PyTorch, or Scikit-learn.
Optimize model performance and scalability for production. - System Integration:Integrate AI models with existing systems, APIs, and third-party tools to ensure seamless functionality.
- Problem Solving:Collaborate with cross-functional teams to understand project requirements and provide AI-driven solutions.
- Research and Innovation:Stay updated with the latest AI and ML advancements to ensure cutting-edge solutions.
Experiment with new algorithms and techniques to enhance product capabilities. - Code Quality and Documentation:Write clean, efficient, and maintainable Python code.
Document processes, models, and systems for transparency and scalability.
Required Skills and Qualifications:
- Technical Expertise:Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, Pandas, NumPy).
Strong understanding of machine learning concepts, algorithms, and frameworks.
Experience with natural language processing (NLP), computer vision, or other AI domains. - Tools and Platforms:Familiarity with version control tools (e.g., Git).
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
Knowledge of databases (SQL/NoSQL) and RESTful APIs. - Problem-Solving:Proven ability to analyze complex problems and implement AI-based solutions effectively.
- Communication:Strong verbal and written communication skills to collaborate with team members and stakeholders.
Preferred Qualifications:
- Master’s degree in Computer Science, AI, or a related field (or equivalent experience).
- Hands-on experience with conversational AI systems, such as ChatGPT, Rasa, or Dialogflow.
- Familiarity with reinforcement learning or advanced deep learning techniques.
- Experience with deployment frameworks like Docker, Kubernetes, or Flask.
