Job Role & responsibilities:-
- Research, build, and deploy AI models as part of the broader AI team, leveraging AIops and MLOps practices for effective model management
- Contribute to our DevOps practices using OpenShift or Azure ML DevOps

Technical Skills, Experience & Qualification required:-
- 3-6 years of progressive experience in AI and ML, with a focus on AIOps and MLOps
- Experience in deploying and managing AI models in production environments using Databricks, MLFlow, Azure ML
- Implementation of at least 3-5 AI projects, preferably with experience in AIOps and MLOps
- Experience in MLOps, MLflow and Databricks
- Experience with Azure, OpenShift, Databricks, MLFlow
- DevOps for model deployment, monitoring, and management
- Setting up CI/CD pipelines using Azure DevOps, Jenkins, etc.
- Hands-on experience with Generative AI tech LLMs, RAG, Prompt Engineering
- Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, CNNs) RNNs, transformers, and attention mechanisms

*Immediate Joiners will be preferred only*

📌 MLops Engineer @ Pune (Bengaluru)
🏢 Adecco India
📍 Bengaluru