Job Opportunity_Data Science_Noida

Job Description

About the Role: We are seeking a highly skilled and innovative AI/ML Engineer with a strong background in Generative AI (LLMs, RAG, Multimodal models, Agentic AI) , core Machine Learning (including Deep Learning, NLP, and Vision), and hands-on experience with Data Visualization tools like Tableau . The ideal candidate should also be familiar with deploying solutions on cloud platforms, particularly AWS . Key Responsibilities: Design, develop, and fine-tune Large Language Models (LLMs) for diverse use cases using prompt engineering, fine-tuning, and embeddings. Implement Retrieval-Augmented Generation (RAG) pipelines with semantic search and vector databases (e.g., FAISS, Pinecone). Work on multimodal AI models involving text, image, and audio data for advanced AI capabilities. Build agentic AI systems using frameworks like LangChain, OpenAgents, or similar libraries. Develop, train, and evaluate Machine Learning /Deep Learning models for NLP and Computer Vision (object detection, OCR, etc.). Create insightful data dashboards and visualizations using Tableau to support business decision-making. Deploy ML pipelines and models on AWS cloud services (e.g., S3, SageMaker, Airflow, Glue). Familiarity with Microsoft Azure especially for OpenAI Collaborate with cross-functional teams to understand business problems and translate them into AI/ML solutions. Keep up-to-date with the latest advancements in Gen-AI, open-source tools, and cloud technologies. Preferred Qualifications: Bachelors or Masters in Computer Science, Data Science, or related field Required Skills: Gen-AI & LLMs: Experience with OpenAI, HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures Experience in LLM evaluation, prompt optimization , fine-tuning/customizing base models Familiarity with agentic workflows , function calling, and orchestration tools Machine Learning: Strong fundamentals in deep learning, NLP, and computer vision Experience with TensorFlow, PyTorch, Scikit-learn Good grasp of model deployment, monitoring, and evaluation metrics Visualization & Storytelling: Proficient in Tableau for data visualization, dashboards, and storytelling with data Cloud & DevOps: Familiarity with AWS services (S3, Lambda, SageMaker, Glue , MWAA) Comfortable with Bitbucket (Git ) and CI/CD pipelines