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Ekloud Data Labs
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AI/ML Engg

AI/ML Engg

Ekloud Data Labs

6 - 11 years

15 - 25 Lacs

bengaluru

Posted:1 hour ago| Platform:

Apply

Skills Required

ml ops artificial intelligence retrieval augmented generation machine learning python

Work Mode

Remote

Job Type

Full Time

Job Description

Experience 6+ yrs

Core Skills to Target

Python Programming (Advanced)

Expert-level coding skills with strong understanding of algorithms, data structures, and OOP principles.

Ability to write modular, maintainable, and production-ready code for AI/ML pipelines.

LLMs & Generative AI Ecosystem

Hands-on experience with Large Language Models (LLMs), transformer-based architectures, and fine-tuning techniques.

Familiarity with prompt engineering, context optimization, and generative AI workflows.

RAG & AI Orchestration Frameworks

Practical experience in Retrieval-Augmented Generation (RAG) pipelines.

Proficiency with LangChain/LangGraph and integration with vector databases (e.g., Pinecone, FAISS, Chroma) for document ingestion and knowledge base querying.

MLOps & Deployment

Ability to design and deploy end-to-end AI workflows using CI/CD, Docker, and Kubernetes.

Experience deploying models on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and monitoring performance.

Mandatory skills: Gen AI/ ML/ Langchain/ RAG/ Vector DB ETL

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AI/ML Engg

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Experience 6+ yrs

Core Skills to Target

Python Programming (Advanced)

Expert-level coding skills with strong understanding of algorithms, data structures, and OOP principles.

Ability to write modular, maintainable, and production-ready code for AI/ML pipelines.

LLMs & Generative AI Ecosystem

Hands-on experience with Large Language Models (LLMs), transformer-based architectures, and fine-tuning techniques.

Familiarity with prompt engineering, context optimization, and generative AI workflows.

RAG & AI Orchestration Frameworks

Practical experience in Retrieval-Augmented Generation (RAG) pipelines.

Proficiency with LangChain/LangGraph and integration with vector databases (e.g., Pinecone, FAISS, Chroma) for document ingestion and knowledge base querying.

MLOps & Deployment

Ability to design and deploy end-to-end AI workflows using CI/CD, Docker, and Kubernetes.

Experience deploying models on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and monitoring performance.

Mandatory skills: Gen AI/ ML/ Langchain/ RAG/ Vector DB ETL

More Jobs at Ekloud Data Labs

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