Job Summary

MLOps Engineer

Experience -7 Years

Location -Bellandur bangalore

Shift-1.30pm- 10.30pm

Key Skills – MLOps, CI/CD, GIT hub, Python, Ansible, Azure DevOps.

Hands on experience in object oriented and/or functional programming using Python

- Proven experience delivering and supporting production scale ML systems
- Hands on exposure to computer vision and/or cognitive services within production AI solutions
- Ability to assess and apply machine learning techniques to solve real business problems
- Experience integrating ML models on unstructured data as part of enterprise AI workflows

MLOps & ML Platform Engineering

- Design, implement, and maintain end to end MLOps frameworks covering:

o Model training o Experiment tracking o Versioning and reproducibility o Deployment and monitoring o Automated retraining workflows

- Implement and operationalize MLflow or equivalent frameworks for experiment tracking and lifecycle management
- Build custom APIs for ML model training and inference, supporting both batch and real time workloads

Cloud Native & Containerized ML Systems

- Develop cloud first solutions using Microsoft Azure, including:

o Azure Machine Learning o Azure Fabric (as applicable)

- Hands on experience building and deploying ML pipelines using Azure Machine Learning SDK




- Design and manage containerized ML workloads using:

o Docker o Kubernetes

- Orchestrate large scale ML/DL workloads, including distributed training and massively parallel model execution on cloud infrastructure

Data, Scale & Performance Engineering

- Proficient in orchestrating large scale ML and DL jobs using big data tooling and modern container orchestration platforms
- Experience with model optimization and hyperparameter tuning at scale for ML/DL models
- Working knowledge of mathematics and algorithms, including:

o Linear algebra o Probability o Statistics

- Solid understanding of data engineering tools and patterns, including:

o Databricks o Apache Spark o Azure Data Factory

Collaboration & Communication

- Ability to engage effectively with technical experts and stakeholders at all organizational levels
- Strong capability to identify opportunities where ML and analytics can:

o Improve business workflows Enable data driven decision making

- Excellent written and verbal communication skills, with the ability to convey complex technical concepts clearly and concisely

Mandatory Skills : MLOps, CI/CD, GIT hub, Python, Ansible, Azure DevOps.

📌 Specialist - Industrial IoT (Bengaluru)
🏢 LTM
📍 Bengaluru