• Stay on top of the latest advancements in GenAI, deep learning, and natural language processing (NLP)
• Evaluate the output of GenAI models using appropriate metrics, conducting regular performance reviews and providing recommendations for improvements
• Responsible for writing, testing, and maintaining the code that powers various software applications and systems
• Participate in the design and architecture of software solutions, ensuring that they meet the project requirements and are scalable and maintainable
• Analyze and solve complex technical problems, debug the failures to root cause, ensuring the robustness and scalability of solutions
• Collaborate with cross-functional teams
• Craft and Maintain documentation for code, processes, and system configurations to aid in future development and troubleshooting
• Implement and maintain unit tests and conduct thorough debugging to ensure the highest quality of applications
• Ensure that software systems are secure and implementing security measures to protect against potential vulnerabilities and threats
• Proficient in Software development lifecycles, agile delivery methods and DevOps

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Minimum Qualifications –

A minimum of 15+ years of professional experience delivering enterprise solution applications

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering or similar
• Expertise and hands-on experience with Java, Angular (Full Stack), Mongo, Kafka, Docker, Kubernetes, jboss, Spring, Splunk, REST APIs, Python, TensorFlow, PyTorch, and Keras
• Familiarity with NLP techniques, Gen AI models and large language models (LLMs)
• Knowledge of model evaluation metrics and performance optimization
• Familiarity with AI ethics, responsible AI practices
• Highly skilled in Cloud Native Architecture, Microservices Architecture and Event Driven Architecture
• Experience in automated deployment pipelines
• A team player and work well in small and large group environments
• Excellent written and verbal communication and interpersonal skill

Preferred Qualifications –

• UX/UI experience is a plus
• Experience working in AWS