Machine Learning Engineer - Technical Lead
bangaloreFull Time
GEN AI + DATA SCIENCE/PYTHON
MACHINE LAEARNING
PYTHON
USABILITY AND USER EXPERIENCE (UX)
Job description
Job
Title: Machine
Learning Engineer (Python Coding with ML Experience)
Location: Bangalore
NO
WFH allowed at the moment.
Key Responsibilities:
Coding: Write
clean, efficient, and well-documented Python code adhering to
OOP principles (encapsulation, inheritance, polymorphism, abstraction).
Experience with Python and related libraries (e.g., TensorFlow, PyTorch,
Scikit-Learn). They are responsible for the entire ML pipeline, from
data ingestion and preprocessing to model training, evaluation, and
deployment
End-to-End
ML Application Development: Design, development, and deployment
of machine learning models and intelligent systems into production
environments, ensuring they are robust, scalable, and performant.
Software
Design & Architecture: Apply strong software engineering
principles to design and build clean, modular, testable, and maintainable
ML pipelines, APIs, and services. Contribute significantly to the
architectural decisions for our ML platform and applications.
Data
Engineering for ML: Design and implement data pipelines for
feature engineering, data transformation, and data versioning to support
ML model training and inference.
MLOps
& Productionization: Establish and implement best practices
for MLOps, including CI/CD for ML, automated testing, model versioning,
monitoring (performance, drift, bias), and alerting systems for production
ML models.
Performance
& Scalability: Identify and resolve performance bottlenecks
in ML systems. Ensure the scalability and reliability of deployed models
under varying load conditions.
Documentation: Create
clear and comprehensive documentation for ML models, pipelines, and
services.
Required Qualifications:
Education: Master’s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.
Experience: 5+
years of professional experience in Machine Learning Engineering, Software
Engineering with a strong ML focus, or a similar role.
Must
have Programming Skills: Expert-level proficiency in Python,
including experience with writing production-grade, clean, efficient, and
well-documented code. Experience with other languages (e.g., Java, Go,
C++) is a plus.
Strong
Software Engineering Fundamentals: Deep understanding of software
design patterns, data structures, algorithms, object-oriented programming,
and distributed systems.
Good
to have Machine Learning Expertise
Solid
theoretical and practical understanding of various machine learning
algorithms
Proficiency
with ML frameworks such as PyTorch, Scikit-learn
Experience
with feature engineering, model evaluation metrics, and hyperparameter
tuning
Data
Handling: Experience with SQL and NoSQL databases, data
warehousing concepts, and processing large datasets.
Problem-Solving: Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.
Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Communication: Strong
verbal and written communication skills, with the ability to explain
complex technical concepts to both technical and non-technical audiences.
Skills Required
Machine Learning Engineer - Technical Lead
IT Software / Software Services
B E, B Tech
Full Time, Permanent
Key Skills
- GEN AI + DATA SCIENCE/PYTHON
- MACHINE LAEARNING
- PYTHON
- USABILITY AND USER EXPERIENCE (UX)
Other Information
GO/JC/1332/2025
Christopher
