Experience: 5-8 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. 5 - 10 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/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 clear, concise, and understandable manner both orally and in
writing.

📌 Senior AI Machine Learning Engineer (Karnataka)
🏢 Talent Smart
📍 Karnataka