GenAI Architect - Raritan
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 Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Contribute to the establishment of best practices and standards for Generative AI development within the organization