Gen AI / Machine Learning Engineer

About the job

Job Description: Role: Gen AI / Machine Learning Engineer Exp: 5+ Years Location: Bangalore, Hyderabad We are seeking a skilled Gen AI / Machine Learning Engineer with hands-on experience in Artificial Intelligence, Deep Learning, and Generative AI solutions. The ideal candidate should have at least 2+ years of experience building AI/ML models and working with Large Language Models (LLMs), RAG architectures, and cloud-based AI platforms. You will be responsible for designing, developing, and deploying scalable AI-driven applications, including multimodal and transformer-based systems. Key Responsibilities AI & Machine Learning • Design, develop, and deploy Machine Learning and Deep Learning models. • Work on Computer Vision and NLP-based AI systems. • Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment. • Optimize models for performance, scalability, and accuracy. Generative AI • Implement Generative AI solutions using Large Language Models (LLMs). • Design and develop RAG (Retrieval-Augmented Generation) architectures. • Work with transformer-based and diffuser-based models such as BERT, GPT, T5, LLaMA, and Stable Diffusion. • Develop prompt engineering strategies, including context-based prompts. • Implement multimodal AI use cases (text, image, etc.). • Work with open-source models from Hugging Face and related ecosystems. • Use frameworks such as LangChain and LangGraph for orchestration. • Design and integrate Vector Databases for embedding storage, indexing, and retrieval (e.g., Pinecone, FAISS, Weaviate, Chroma). Cloud & Deployment • Develop and deploy AI solutions on cloud platforms such as AWS SageMaker, Azure OpenAI, Google Cloud Vertex AI, or IBM WatsonX. • Implement CI/CD pipelines for ML deployment. • Ensure scalability, monitoring, and performance tuning of deployed AI systems. Required Skills & Qualifications Technical Skills • 2+ years of experience in AI/ML, Deep Learning, or Computer Vision. • Strong knowledge of Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). • Hands-on experience with LLMs and Generative AI frameworks. • Experience with RAG architecture and embedding-based retrieval systems. • Knowledge of Vector Databases and embedding techniques. • Strong understanding of transformer architectures. • Familiarity with model fine-tuning and inference optimization. Cloud & DevOps • Experience with at least one cloud AI platform (AWS SageMaker / Azure OpenAI / GCP Vertex AI / IBM WatsonX). • Experience in API development and model serving. • Understanding of MLOps concepts and deployment best practices.

Requirements

• AI/ML
• Deep Learning
• Generative AI solutions
• Cloud-based applications

Qualifications

• 5+ years of experience in AI/ML
• 2+ years of experience with LLMs

Preferred Technologies

• AI/ML
• Deep Learning
• Generative AI solutions
• Cloud-based applications