Machine Learning Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 13 days ago

Vacancies: 1 Vacancy

Job Summary

Greetings from Maneva!

Job Description

Job Title - Machine Learning Engineer

Experience - 5 -15 days

Location - Bangalore ( Kodathi)

Notice - Immediate to 60 days

Job Summary:

We are seeking a highly skilled and versatileSenior Machine Learning Engineerwho embodies the rare combination of a strong software engineer a pragmatic data scientist and an expert in building robust scalable ML applications. This role is critical to our mission bridging the gap between cutting-edge ML research and robust production-ready systems. Candidate will be instrumental in designing developing deploying and maintaining our core AI-powered products and features. This demands a blend of analytical rigor coding prowess architectural foresight and a deep understanding of the entire machine learning lifecycle from data exploration and model development to deployment monitoring and continuous improvement.

Key Responsibilities:

End-to-End ML Application Development:Lead the 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.
ML Model Development & Optimization:Collaborate with Data Scientists to understand business problems explore data develop train and evaluate machine learning models (e.g. supervised unsupervised deep learning reinforcement learning). Optimize models for performance efficiency and interpretability.
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.
Collaboration & Mentorship:Work closely with cross-functional teams including Data Scientists Software Engineers Product Managers and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.
Research & Innovation:Stay abreast of the latest advancements in machine learning MLOps and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.
Documentation:Create clear and comprehensive documentation for ML models pipelines and services.

Required Qualifications:

Education:Bachelors or Masters 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.
Exceptional 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.
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.

Preferred Qualifications:

Masters or Ph.D. in a relevant field.
Experience with big data technologies (e.g. Spark Hadoop Kafka).
Contributions to open-source projects or a strong portfolio of personal projects.
Experience with A/B testing and experimental design for ML models.
Knowledge of data governance privacy and security best practices in ML.

If you are excited to grab this opportunity please apply directly or share your CV atand

Greetings from Maneva! Job Description Job Title - Machine Learning Engineer Experience - 5 -15 days Location - Bangalore ( Kodathi) Notice - Immediate to 60 days Job Summary: We are seeking a highly skilled and versatileSenior Machine Learning Engineerwho embodies the rare combination of a stron...