AI ML Developer

About the position Wipro is seeking a talented AI/ML Developer to join their team, focusing on developing, deploying, and fine-tuning machine learning models using Google Cloud Platform tools like Vertex AI. This role involves working with advanced Large Language Models (LLMs) and building RAG (Retrieval-Augmented Generation) pipelines, while collaborating with cross-functional teams to create scalable AI solutions that meet business needs. Responsibilities • Develop, deploy, and fine-tune Large Language Models (LLMs) on platforms like Vertex AI and AWS Bedrock. • Build, optimize, and maintain RAG (Retrieval-Augmented Generation) pipelines to support data-driven decision-making and enhance model accuracy. • Perform complex data preprocessing, including cleaning, feature engineering, and transformation, to prepare data for ML pipelines. • Design and implement scalable machine learning models for various business applications, focusing on NLP and generative AI. • Utilize Vertex AI, AWS Bedrock, or similar cloud-based tools to manage the entire ML lifecycle, from model training to deployment. • Collaborate with data engineers, data scientists, and software engineers to integrate AI/ML models into production systems. • Conduct model evaluation, A/B testing, and continuous improvement through hyperparameter tuning and retraining. • Monitor and manage deployed models to ensure their performance, scalability, and reliability over time. • Document technical processes, model architecture, and key decisions for ongoing maintenance and knowledge sharing. Requirements • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. • 3+ years of experience in AI/ML development, with hands-on experience in model training, deployment, and monitoring. • Proficiency with GCP tools such as Vertex AI and familiarity with similar platforms like AWS Bedrock for model deployment and management. • Experience in developing, fine-tuning, and deploying Large Language Models (LLMs). • Strong understanding of NLP, deep learning frameworks (such as TensorFlow or PyTorch), and generative AI techniques. • Solid grasp of data preprocessing techniques for structured and unstructured data. • Proficiency in programming languages such as Python and experience with ML libraries like scikit-learn, Hugging Face Transformers, and TensorFlow. Nice-to-haves • Experience with MLOps practices, including model versioning, CI/CD for ML, and pipeline automation. • Familiarity with Google Cloud Storage, BigQuery, and other GCP services. • Knowledge of vector databases and experience working with semantic search. • Exposure to data labeling and active learning techniques for improving model performance. • Experience in developing scalable AI/ML solutions for NLP tasks such as entity extraction, text summarization, and question answering. Benefits • Competitive pay • Day one benefits • Opportunities for career advancement Apply tot his job