Job Opportunity_Data Science_Noida

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