AI Architect

Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience 
Should be from premier institute like IIT, NIT or equal. 
2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT 
Experience with LLMs OpenAI GPT and others 
Exposure to Knowledge Graph 
Experience in latest GenAI application development frameworks. From simple RAG to Agentic and more advance 
Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference. 
Life sciences experience preferred. 
Experience with handling customers at SLT and VP level, and well established centra Data Science team of the organization. 
Knowledgeable on software engineering aspects like SDLC, OOPs etc. 
Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras 
Experience in developing Fast API and documentations 
Experience working with SQL, NoSQL, Elastic, Files etc. 
Strong knowledge of data structures, algorithms, and software engineering principles 
Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure 
8+ years of experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face 
Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly 
Significant experience architecting cutting-edge MLOps systems in enterprise environments 
Knowledge of software development methodologies, such as Agile or Scrum 
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 
Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership.
Responsibilities:
Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT 
Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals 
Conduct research to stay up-to-date with the latest advancements in Generative AI , machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services 
Optimize Generative AI models for improved performance, scalability, and efficiency