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 modern 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/migration, internationalization, and
production support. • Knowledge of data engineering and
transformation tools and patterns such as Databricks, Spark, Azure
Data Factory • Ability to engage other technical experts at all
organizational levels and assess opportunities to apply machine
learning and analytics to improve business workflows and deliver
information and insight to support business decisions. • Ability to
communicate in a transparent, concise, and understandable manner both
orally and in writing.

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