Machine Learning Engineer (Python Coding ML Experience)

Greetings from Maneva!

Job Description

Job Title - Machine Learning Engineer (Python Coding - ML Experience)

Location - Bangalore (Kodathi)

Experience - 6 -10 years

Notice - 30 / 60 days

Requirements:

We are seeking a highly skilled and versatile Machine Learning Engineerwho embodies the rare combination of a strong software engineer and ML exposure with experience in designing developing and maintaining robust scalable and efficient software applications using Python with a strong emphasis on Object-Oriented Programming principles to manage hyperparameter encapsulate evaluation metrics and create controlled interfaces for model 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:

• Coding:Write clean efficient and well-documented Pythoncode 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 pre-processing 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: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.
• 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.

Preferred Qualifications:

• Experience with big data technologies (e.g. Spark Hadoop Kafka).
• Contributions to open-source projects or a strong portfolio of personal projects.

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