Description
GlobalLogic is looking for a highly skilled and innovative Generative AI Engineer to join our dynamic AI team. In this role, you will be at the forefront of next-generation AI development, designing, building, and deploying cutting-edge Generative AI and Deep Learning solutions. You will work across the full AI lifecycle from LLM training and fine-tuning to building advanced NLP systems and production-grade RAG pipelines. If you are passionate about pushing the boundaries of artificial intelligence and solving real-world problems at scale, we want to hear from you.
Requirements
- 2- 5 years of experience in building and deploying Generative AI and Deep Learning models in production environments.
- Strong understanding of Neural Network fundamentals, including model architectures, optimization techniques, and performance evaluation.
- In-depth knowledge of Large Language Model (LLM) architectures, training methodologies, and fine-tuning techniques such as LoRA and QLoRA.
- Practical experience in Natural Language Processing (NLP) and embedding techniques,
including Word2Vec, GloVe, and Sentence Transformers.
- Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases such as Pinecone and ChromaDB.
- Strong proficiency in Python and core data science libraries/frameworks, including TensorFlow, PyTorch, Hugging Face, and LangChain.
- Experience with MLOps practices and tools such as Docker, Kubernetes, and MLflow for model deployment, monitoring, and lifecycle management.
- Familiarity with cloud platforms including AWS, GCP, and Azure for scalable AI solution deployment.
- Experience integrating APIs from major AI providers such as OpenAI and Google.
- Excellent problem-solving skills with the ability to work both independently and collaboratively in cross-functional teams.
- Contributions to open-source AI/ML projects or a robust project portfolio demonstrating practical expertise.
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