Machine Learning Engineer (Contract, Remote) at Gunio
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

75.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Manipulation, Data Integration, Data Processing, Technology, Talend, Learning Techniques, Programming Languages, Looker, Sql, Flexible Schedule, Java, C, Design Principles, Python

Industry

Information Technology/IT

Description

JOB SUMMARY

We are seeking a skilled Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our data-driven decision-making processes. You will work closely with data scientists and software engineers to implement robust machine learning solutions that leverage big data technologies and advanced analytics.

QUALIFICATIONS

  • Proficiency in programming languages such as Python, Java, C, and R.
  • Strong understanding of machine learning concepts including supervised and unsupervised learning techniques.
  • Experience with big data technologies such as Hadoop and analytics tools like Looker.
  • Familiarity with database design principles and SQL for effective data manipulation.
  • Knowledge of linked data principles and experience with tools like Talend for data integration.
  • Experience in model training, evaluation, and deployment using various machine learning frameworks.
  • Ability to work with Bash (Unix shell) for scripting tasks related to data processing.
  • Excellent problem-solving skills with a strong analytical mindset. Join us in pushing the boundaries of technology through innovative machine learning solutions that drive impactful results.
    Job Type: Contract
    Pay: $75.00 - $150.00 per hour
    Expected hours: 20 – 40 per week

Benefits:

  • Flexible schedule
  • Referral program

Work Location: Remot

How To Apply:

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Responsibilities
  • Develop and implement machine learning algorithms and models using frameworks such as TensorFlow, Spark, and SAS.
  • Conduct data mining and preprocessing to prepare datasets for model training.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Design and optimize ETL processes for efficient data extraction, transformation, and loading.
  • Deploy machine learning models into production environments ensuring scalability and reliability.
  • Utilize AWS services for cloud-based model deployment and management.
  • Engage in continuous learning of new technologies in AI, natural language processing, and quantum engineering.
  • Document processes, methodologies, and results to ensure knowledge sharing within the team.
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