Software Engineer, Machine Learning

Summary

Lamini AI is seeking exceptionally talented Machine Learning Engineers to join their small team. The role involves end-to-end ownership of scalable Machine Learning systems, designing and training new production-ready models, collecting, processing, and analyzing data, and improving existing models. Candidates should have at least 3 to 5+ years of professional experience in machine learning, a strong computer science foundation, expertise in Python, excellent communication skills, and familiarity with machine learning frameworks and libraries.

Requirements

• At least 3 to 5+ years of professional experience designing, training, and deploying machine learning models
• Strong computer science foundation, including data structures, algorithms, and design patterns
• Expertise in Python demonstrated by implementing multiple medium to large-scale projects
• Proven ability to implement and debug machine learning models
• Excellent communication skills and the ability to have in-depth technical discussions with both the engineering team and business people
• Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Keras, TensorFlow, PyTorch)
• Industry experience with relational databases and SQL-based tools
• BSc in Computer Science, Mathematics or similar field; Master’s or Ph.D. degree is a plus

Responsibilities

• End-to-end ownership of scalable Machine Learning systems
• Design and train new production-ready machine learning models
• Lead the development of new machine learning models and data pipelines
• Apply fundamental machine learning concepts to quickly iterate and debug model related issues
• Develop new techniques to handle unique cases with each customer
• Collect, process and analyze data
• Build pipelines and processes for cleaning and organizing data
• Build tools to help analyze data
• Understand what types of data models are struggling with and use this analysis to propose solutions
• Analyze and improve existing models

Preferred Qualifications

• Experience with big data pipeline technologies such as BigQuery, SnowFlake, Spark, Kafka
• Research experience in machine learning or artificial intelligence related field
• Contributions to open source ML projects
• Experience working on logistics or shipping-related products
• Experience with Agile development