Machine Learning Engineer
1 month ago
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating Scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
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
- 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)
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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