Experience: 10-15 Years Mode: WFO ( 5 Days ) Job
Location: Bangalore Job Type: Full Time • Minimum 5 years’
experience in Object Oriented Design and/or Functional Programming
in Python. 10 - 15 years of experience • Mature software
engineering skills, such as source control versioning, requirement
spec, architecture, and design review, testing methodologies,
CI/CD, etc. • Must have a disciplined, methodical, minimalist
approach to designing and constructing layered software components
that can be embedded within larger frameworks or applications. •
Experience implementing machine learning frameworks and libraries
such as MLflow • Experience with containers and container
managements (docker, Kubernetes) • Experience developing cloud
first solutions using Microsoft Azure Services including building
machine learning pipelines in Azure Machine Learning and/or Fabric,
Hands-on experience in deploying machine learning pipelines with
Azure Machine Learning SDK • Working knowledge of mathematics
(primarily linear algebra, probability, statistics), and
algorithms.



• Proficient at orchestrating large-scale ML/DL jobs,
leveraging big data tooling and up-to-date container orchestration
infrastructure, to tackle distributed training and massive parallel
model executions on cloud infrastructure. • Experience designing
custom APIs for machine learning models for training and inference
processes and designing, implementing, and delivering frameworks
for MLOps. • Experience with model lifecycle management and
automation to support retraining and model monitoring • Experience
implementing and incorporating ML models on unstructured data using
cognitive services and/or computer vision as part of AI solutions
and workflows. • History of working with large scale model
optimization and hyperparameter tuning, applied to ML/DL models. •
Knowledge of enterprise SaaS complexities including security/access
control, scalability, high availability, concurrency, online
diagnoses, deployment, upgrade

📌 Lead Machine Learning Engineer (Bengaluru)
🏢 Talent Smart
📍 Bengaluru