- Design and implement robust AI models and Python-based applications that solve critical business challenges and improve operational efficiency for our global client base.
- Engineer and maintain automated CI/CD pipelines to ensure the seamless deployment, monitoring, and scaling of machine learning models in production environments.
- Lead the integration of LLMs and Generative AI frameworks into existing software ecosystems to provide advanced automation and predictive capabilities.
Must-Haves :
- Conversational AI & RAG : Prior hands-on experience working with conversational AI platforms and Retrieval-Augmented Generation (RAG) agents.
- Core Development : Strong proficiency in Python.
- CI/CD & Version Control :
Familiarity with standard CI/CD processes and experience utilizing source code management systems (GitHub, Bitbucket, GitLab, etc.).
- Soft Skills : Strong communication and collaborative skills to work seamlessly across distributed teams.
Major Pluses :
- DevOps Infrastructure : Direct experience building and managing CI/CD pipelines using infrastructure-as-code and automation tools (specifically Terraform and Jenkins).
- Cloud Architecture : Working experience within major cloud environments (GCP, AWS, or Azure).
- Contact Center Tech : Working knowledge of up-to-date IVR and contact center platforms (e.g., Dialogflow, CCAIP, Genesys).
📌 LTM - Generative AI Engineer - Python (India)
🏢 LTIMindtree
📍 India
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