Machine Learning Engineer

3 days ago

San Jose, California, United States Quantum Technologies. LLC Full time
Job Overview

Specialized Area: Machine Learning

Job Title: Machine Learning Engineer

Location: Remote

Duration: 8 Months

Domain Exposure:

Work Authorization:

Client: Confidential

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

We are seeking a highly skilled Machine Learning Engineer to join our team at Quantum Technologies, LLC. As a key member of our data science team, you will be responsible for developing scalable data processing pipelines for analytical and predictive platform services.

Key Responsibilities:

  • Collaborate with other data scientists and engineers to find effective solutions to technical challenges
  • Provide recommendations, guidance and options to support our product development road map
  • Work closely with engineers to build, test, deploy and troubleshoot machine learning / algorithm based software

Requirements:

  • MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field
  • 5+ years of industry experience in engineering, data science or related areas
  • Demonstrated mastery in communication of technical ideas to non-technical audiences
  • Ability to translate customer goals into practical engineering solutions
  • Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.
  • Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++
  • Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniques
  • Familiarity with libraries such as Spark ML, TensorFlow, scikit-learn, MLib, DLib, Pandas or others like H2O, Databricks

Equal Opportunity Employer:

Quantum Technologies, LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.

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