ML Engineer

Key Skills

Apache Airflow, Apache Hadoop, AWS, AWS Sagemaker, Docker, Framework, Keras software library, Kubernetes-K8s, MLflow, Python Programming, Scikit-learn, Spark-SQL, SQL, TensorFlow

Job Description

Kunai is a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015.

We are looking for an experienced ML Engineer who will provide solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions. You will create scalable Machine Learning systems that are highly performant. Furthermore, you will build reusable production data pipelines for implemented machine learning models as well as write production-quality code and libraries that can be packaged as containers, installed and deployed. Finally, you will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

• Bachelor's degree or higher in computer science or related, with 5+ years of work experience
• Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
• Ability to manage the infrastructure and data pipelines needed to bring ML solutions to production
• End-to-end understanding of applications being created
• Ability to maintain scalable machine learning solutions in production
• Ability to abstract the complexity of production for machine learning using containers
• Ability to troubleshoot production machine learning model issues, including recommendations for to retrain and revalidate
• Experience with Big Data Projects using multiple types of structured and unstructured data
• Ability to work with a global team, playing a key role in communicating problem context to the remote teams
• Excellent communication and teamwork skills

Additional Skills Required

• Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
• Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras
• Knowledge of MLflow, Airflow, and Kubernetes
• Experience with Cloud environments and knowledge of offerings such as AWS SageMaker
• Proficiency in statistical tools, relational databases, and expertise in programming languages (Python/SQL)

At Kunai, we have built deep relationships with our clients. Our bar is high, and our mission is to always exceed our client’s expectations. If you are fanatical about customer success and driven to work on and solve tough technical challenges, we would love to chat with you!