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docker python kubernetes ai mlops📋 Description
- Assist in developing and training ML, deep learning, and NLP models.
- Support senior engineers in building and maintaining data pipelines.
- Implement basic preprocessing, feature engineering, and data validation tasks.
- Contribute to testing, evaluating, and optimizing model performance.
- Help deploy models into staging or production under guidance.
- Write clean Python code for AI experiments and prototypes.
- Work with APIs, model inference scripts, and small-scale automation tasks.
- Collaborate with cross-functional teams to understand requirements.
- Stay updated with emerging AI tools, frameworks, and techniques.
🎯 Requirements
- 4+ years of professional software engineering experience
- Strong Python development skills; Java/Go/TypeScript a plus
- Deep hands-on experience with LLMs and Generative AI
- Experience with RAG, embeddings, vector search, and prompt engineering
- Experience building Copilot-style or agent-based AI systems
- Strong distributed systems, APIs, and microservices understanding
- Experience deploying/operating systems with Docker/Kubernetes
- Experience with Azure, AWS, or GCP
- Familiarity with LLMOps / MLOps
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