Created about 2 months ago
BlueOrange BlueOrange

Data Scientist (Remote) at BlueOrange

Remote in Americas

  • Pavan sai kumar Nanduri
  • Ricardo Muñoz Bocanegra
  • Diego Graselli
  • Juan David Polo Mendez
  • Mauricio Soto
  • Wayner Barrios
  • Remy Lagrois
45 Applicants


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Job details

These are the details of the job, consider each of them before you apply.

  • Company: BlueOrange
  • Salary: Salary to be Agreed
  • Remote?: Yes

Job Description:

This position is a full-time, fully-remote, long-term contract to hire role available to all Latin American candidates.

Timezone Requirements: (GMT-05:00) Eastern Time +/- 2 hours

Resume must demonstrate fluent English ability


About Blue Orange


Blue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.

Your primary focus will be 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


Hiring policy
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