Software Engineer - Python

Job Responsibilities

• Requirement Analysis - Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI integration in generative chatbot solutions.
• Data Exploration and Analysis - Analyze large datasets to extract meaningful insights, patterns, and trends to drive the development and enhancement of generative AI chatbots.
• Feasibility Assessment - Assess the feasibility of implementing AI models and algorithms to improve chatbot performance, ensuring alignment with business goals.
• Model Selection and Design - Partner with data scientists to select suitable AI models, develop prototypes, and design innovative generative chatbot capabilities.
• Implementation and Deployment - Collaborate with development teams to implement and deploy AI models, ensuring seamless integration into the chatbot platform for optimal performance.
• Performance Monitoring and Optimization - Monitor and evaluate chatbot performance, making data-driven improvements to enhance AI capabilities and user experience.
• Collaboration and Communication - Facilitate collaboration across analytics, data science, and development teams for cohesive AI solution integration.
• Present findings, insights, and recommendations effectively to both technical and non-technical stakeholders.
• Education and Training - Provide training and support to team members on AI technologies, data analysis methods, and generative chatbot best practices.
• Stay Informed on AI Trends - Keep updated on advancements in AI, machine learning, and NLP to identify innovative opportunities for chatbot technology.

Requirements

• Educational Qualification - Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Experience - Proven experience as an AI Analyst or similar role with a focus on data analytics and AI integration.
• Experience in developing and deploying generative AI models is an advantage.
• Good understanding of Prompt writing and evaluation.
• Technical Skills - Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of machine learning algorithms and natural language processing.
• Solid experience with SQL for data manipulation and analysis.
• Analytical Skills - Strong analytical and problem-solving abilities to derive actionable insights from complex datasets.
• Communication Skills - Excellent communication skills to translate technical concepts for varied audiences.
• Collaboration and Teamwork - Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement.
• Adaptability - Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities.