The AI/ML Engineer will be responsible for designing, developing, and deploying machine learning models and AI solutions. You will work closely with cross-functional teams to create and implement algorithms and systems that drive our technology forward. The ideal candidate will have a strong background in AI and machine learning, with expertise in Python, SQL, Java, and experience with generative AI and chatbots. Key Responsibilities: Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems. Data Analysis: Utilize SQL to extract, manipulate, and analyze data from various sources to support model training and evaluation. Software Engineering: Develop robust and scalable code in Python and Java to integrate AI/ML solutions into our existing systems and applications. Generative AI: Create and optimize generative AI models to generate content, predictions, or other outputs as required by the business. Chatbot Development: Design and implement conversational AI solutions and chatbots to enhance user interactions and automate processes. Collaboration: Work closely with data scientists, software engineers, and product managers to understand requirements and deliver effective AI solutions. Performance Monitoring: Continuously monitor and improve the performance of deployed models, ensuring they meet the desired accuracy and efficiency. Research & Innovation: Stay up-to-date with the latest advancements in AI/ML and contribute to innovative projects and solutions. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience: Proven experience in AI/ML model development and deployment. Programming Languages: Proficiency in Python and Java. SQL: Strong skills in SQL for data extraction and manipulation. Generative AI: Experience with generative AI techniques and applications. Chatbots: Hands-on experience in developing and deploying chatbots and conversational AI systems. Machine Learning Frameworks: Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Problem-Solving: Excellent analytical and problem-solving skills with the ability to tackle complex challenges.
