This company, founded by freelance engineers, is a data science, machine learning, and data visualization firm that wants to bring an 'engineering-first' approach to the development agency model. They work with businesses to implement data-driven analytic techniques derived from statistical modeling and data science, using the latest technologies. Their headquarters are located in NY and DC. Their team is made of passionate data engineers, PhDs, data scientists, and visualization experts, that work for the same mission: to help their clients identify and apply advanced analytics to improve the quality of decision making.
We are looking for a Machine Learning Engineer to join their awesome multi-disciplinary team. This company works across multiple industries, so this role provides an exciting set of experiences across a wide range of domains. What will you do? Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering. Core Responsibilities & Skills ● Architecting, building and maintaining modern, scalable data architectures on AWS. ● Solving problems using Machine Learning and delivering ML solutions all the way to production. ● Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi. ● Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks. ● Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization. Qualifications: ● BA/BS degree in Computer Science or a related technical field, or equivalent practical experience. ● Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms. ● Experience in Amazon AWS, DevOps and Automation. ● Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow. ● Enjoys collaborating with other engineers on architecture and sharing designs with the team. ● Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment. ●● Please note that you should be available to work 20 hours a week, from Monday through Friday ●●
Only candidates from United States, Canada, Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Mexico, Panama, Peru, Uruguay
Intermediate or advanced spoken English is required for ALL opportunities. If you can't speak English yet, please keep practicing and apply in the future.