**Years of Experience: 6.0-10.0 Years
Job Title: Machine Learning Engineer (Python Coding with ML Experience)
Location: Bangalore
Notice period: Immediate to 30days only
Job Summary:** We are seeking a highly skilled and versatile Machine Learning Engineer who 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 hyperparameters, encapsulate evaluation metrics, and create controlled interfaces for model wrappers. You 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.
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.