Job Role & responsibilities:-

- Research, build, and deploy AI models as part of the broader AI team, leveraging AIops and MLOps practices for productive 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 & Bangalore Location (Bengaluru)
🏢 Adecco India
📍 Bengaluru