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Junior Machine Learning Engineer (Python & PyTorch) - Fully Remote (India)

cloud202 • India
Remote
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AI Summary

Join Cloud202 as a Junior ML Engineer to develop, train, and deploy ML models using Python and PyTorch. Collaborate with cross-functional teams to build enterprise AI solutions. Enjoy real-world projects and grow in Generative AI and cloud-native ML.

Key Highlights
Develop, train, evaluate, and optimize ML models using Python and PyTorch
Collaborate with experienced AI Engineers and Cloud Architects
Build reusable ML pipelines and experiment with modern AI techniques
Key Responsibilities
Develop, train, evaluate, and optimize machine learning models using Python and PyTorch
Prepare and process datasets, build reusable ML pipelines
Experiment with modern AI techniques and help deploy models on AWS
Contribute to RAG pipelines, LLM-powered applications, and AI features for enterprise customers
Technical Skills Required
Python PyTorch Machine Learning
Benefits & Perks
Fully remote within India with overlap hours for UK team collaboration
Work on real enterprise AI projects using the latest AWS AI technologies
Nice to Have
Experience with AWS AI services (Amazon Bedrock, SageMaker, Lambda, S3)
Docker, Git, REST APIs, vector databases, RAG architectures, prompt engineering, LangChain or similar AI frameworks

Job Description


Cloud202 | Full Remote (India)

Cloud202 is an AWS Advanced Tier Services Partner building engineering-grade agentic AI for enterprise clients across the UK, EU, and GCC. We're hiring a Junior Machine Learning Engineer (Python & PyTorch) to join our AI engineering team and help build production-ready machine learning and Generative AI solutions powering Qubitz, our enterprise agentic AI platform.

What you'll do

You'll develop, train, evaluate, and optimize machine learning models using Python and PyTorch while working alongside experienced AI Engineers and Cloud Architects. You'll prepare and process datasets, build reusable ML pipelines, experiment with modern AI techniques, and help deploy models on AWS. You'll also contribute to RAG pipelines, LLM-powered applications, and AI features used by enterprise customers across regulated industries.

What we're looking for

2-3 years of hands-on experience in Machine Learning or AI with strong Python programming skills and practical experience using PyTorch. Solid understanding of machine learning fundamentals, data preprocessing, feature engineering, model evaluation, and common Python libraries such as Pandas and NumPy. You enjoy solving real-world problems, writing clean production-ready code, and collaborating with cross-functional engineering teams.

Nice to have

Experience with AWS AI services (Amazon Bedrock, SageMaker, Lambda, S3), Docker, Git, REST APIs, vector databases, RAG architectures, prompt engineering, LangChain or similar AI frameworks, and exposure to deploying ML models in production.

Working at Cloud202

Fully remote within India, with overlap hours to collaborate with our UK team. You'll work on real enterprise AI projects—not demos—using the latest AWS AI technologies alongside senior architects and engineers. This is an opportunity to grow rapidly in Generative AI, Agentic AI, and cloud-native machine learning while building products used by customers across the UK, Europe, and GCC.

📩 Apply: hello@cloud202.com


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