Machine Learning Engineer Jobs

About The Position

Requirements

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
• 5 years of experience in applied machine learning on real use cases
• Proficient coding skills and strong software development experience in Spark, Python, or Java
• Familiarity with real-time evaluation of models with low latency constraints
• Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
• Ability to work with large scale computing frameworks, data analysis systems, and modelling environments i.e. Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB

Nice To Haves

• Ad Tech experience is preferred
• Proficient use of AI tools and agentic coding practices

Responsibilities

• Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
• Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
• Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
• Low-level systems debugging, performance measurement, and optimisation on large production clusters
• Partner with product managers, data scientists, and other engineers to deliver impactful solutions
• Continuously learn and adapt to emerging technologies and industry trends

Benefits

• Global access to mental health and financial wellness support and resources
• Healthcare (medical, dental, and vision)
• Life, accident, disability, commuter, and retirement options (401(k)/pension)
• Time off in accordance with local leave policies and other personal needs