3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging
Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus.
Experience with information storage/retrieval using vector databases like pinecone.
Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings.
Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc)
Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Programming experience in C C++, Java, Python.
Strong knowledge of data structures, algorithms, and software engineering principles.
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
Experience Desired:
Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred.
Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage.
Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred.
