Generative AI Engineer (contract)

Responsibilities

• Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions.
• Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives.
• Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies.
• Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud, or hybrid environments.
• Strong hold on tokenization, embeddings, and model evaluation metrics.
• Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives.
• Review and validate models and help improve the performance of the model under the preview of regulatory requirements.
• Work closely with technology teams to deploy the models to production.

Qualifications

• Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace.
• Proficiency in LangChain and LangGraph in building LLM powered applications using LangChain for integrating external data and tools, and LangGraph for designing stateful, workflows (leveraging GraphDB) to automate complex processes.
• Experience in using ML Ops tools for scaling and deploying models in production.
• Experience working with on Google Cloud Platform.
• Experience in Scala for processing large-scale data sets for use cases.
• Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs.
• Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications.
• Required to work on multiple AI and Generative AI projects and work closely with business partners across the organization.
• Experience in building quick prototypes to check feasibility and value to business.
• Expert in developing and maintaining modular codebase for reusability.