Generative AI Engineer Job in Gurgaon at GlobalLogic

GlobalLogic is hiring for the role of Generative AI Engineer!

Responsibilities of the Candidate:

• Design develop and implement advanced Generative AI solutions using state of the art models and techniques
• Train fine tune and evaluate large language models for specific use cases ensuring optimal performance and accuracy
• Develop and integrate retrieval augmented generation systems to enhance model responses with external knowledge bases
• Apply expertise in deep learning and neural networks to build robust and scalable AI systems
• Utilize natural language processing techniques for tasks such as text classification sentiment analysis and named entity recognition
• Manage the full lifecycle of AI models including embedding preparation data preprocessing model deployment and monitoring
• Write clean efficient and well documented code primarily in Python
• Collaborate with cross functional teams including product managers data scientists and software engineers to deliver high impact AI features
• Stay current with the latest advancements in the field including new models from major AI research institutions.

Requirements:

• Bachelors or Masters degree in Computer Science AI Machine Learning or a related field
• Proven hands on experience in building and deploying Gen AI and Deep Learning models
• Strong proficiency in Python and its core data science libraries such as TensorFlow PyTorch Hugging Face LangChain
• In depth knowledge of LLM architecture LLM training methodologies and fine tuning techniques such as LoRA QLoRA
• Solid understanding of Neural Network fundamentals
• Experience with NLP including text processing and embedding preparation such as Word2Vec GloVe sentence transformers
• Practical experience implementing RAG pipelines and vector databases such as Pinecone ChromaDB
• Familiarity with APIs from major AI providers like OpenAI and Google
• Strong problem solving skills and the ability to work independently and in a team environment
• Experience with MLOps practices and tools such as Docker Kubernetes MLflow
• Familiarity with cloud computing platforms such as AWS GCP Azure
• Contributions to open source AI ML projects or a portfolio of relevant work
• Published research in the field of AI NLP or Machine Learning