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cloudact.ai
Company:
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Industries: Technology, Information and Internet
Job details:
Home/Jobs/AI/ML Engineer
AI/ML Engineer
Shreem Talent Bridge
Gurugram
4-6 years
1 day ago
$18.1K–24.1K/yr
Full-time
Hybrid
Skills Required
LLM
RAG
Agentic AI
Gen AI
LangChain
OpenAI
Hugging Face
RAGAS
Prompt Engineering
LangGraph
Pinecone
FAISS
Embedding Models
Semantic Search
BLEU
Description
GenAI / AI-ML Engineer role focused on building and deploying scalable AI, ML, and Generative AI solutions. The position is based in Gurugram in a hybrid setup.
Role: GenAI / AI-ML Engineer
Location: Gurugram (Hybrid) | Hybrid remote in Gurgaon, Haryana
Experience
- 4–6 years
- 1+ year of hands-on experience in GenAI/LLM projects
Responsibilities
- Design, develop, and deploy scalable AI/ML and Generative AI solutions
- Build and optimize RAG pipelines using modern frameworks and vector databases
- Develop LLM-powered applications using prompt engineering, AI agents, and multi-agent workflows
- Fine-tune, evaluate, and monitor machine learning and deep learning models
- Build REST APIs and backend services for AI applications
- Design data preprocessing, feature engineering, and model evaluation pipelines
- Integrate structured and unstructured data sources for contextual AI solutions
- Collaborate with Data Engineering, DevOps, and Product teams
- Ensure scalability, reliability, and performance of AI applications in production environments
More Skills
Python, SQL, FastAPI, Scikit-learn, TensorFlow, PyTorch, Keras, Large Language Models (LLMs), Multi-Agent Systems, OpenAI APIs, LangSmith, semantic search architectures, RAG evaluation metrics, ROUGE, AWS, EC2, S3, SageMaker, Bedrock, Docker, Git, JIRA, CI/CD, REST APIs, backend services, data preprocessing, feature engineering, model evaluation, software engineering best practices, Agile methodologies
Other
- Employment type: Full-Time
- Budget: 15 LPA to 20 LPA, flexible
- Preference: Noida/NCR local candidates only
- Pay: ₹1,500,000.00 to ₹2,000,000.00 per year
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Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Functions, Tools and Agents with LangChain
Coursera
Advanced LangChain covering function calling, tool use, and conversational agents.
Introduction to Generative AI
Coursera
Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.
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