ML Engineer

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.