Machine Learning Engineer

Greetings from Maneva!

Job Description

Job Title - Machine Learning Engineer

Location - Bangalore

Experience - 6- 10 years

Notice - 30 days

Requirements:

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 hyper parameters, 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.

Key Responsibilities:

• Coding: Write clean
• End-to-End ML
• Software Design & Architecture:
• Data Engineering for ML:
• MLOps & Productionisation:

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 Skills

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