Job
Description
Roles and Responsibilities: Translating business requirements into analytical solutions Do hands-on data analysis, using statistical techniques Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize GenAI frameworks like AutoGen, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Leverage Azure cloud services along with event-driven architecture in Python, to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. Collaborates with others inside the project team to accomplish project objectives. Lead a lean team of senior and associate software engineers and data scientists. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: Bachelor’s/Master’s degree in Engineering, Information Systems, Statistics, Math, Computer Science or related field and 6+ years of engineering work experience. 5+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Proficiency in Python (mandatory). Skill Set; NLP, NLU, NLI Experience working with both structured and unstructured data. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLM fine-tuning and OpenAI APIs. Deep understanding of Autogen components and advanced NLP techniques. Familiarity with best practices in system design, including security, performance optimization, and scalability. Show more Show less
