Specialist - Industrial IoT

Role overview

Specialist - Industrial IoT at LTIMindtree

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

MLOps Engineer Experience -7 Years Location -Bellandur bangalore Shift-1.30pm- 10.30pm Key Skills – MLOps, CI/CD, GIT hub, Python, Ansible, Azure DevOps.

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

Strong 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 !-- [if !supportLineBreakNewLine]--> !--[endif]-->

Employment details

• Location: Bengaluru [India]