Machine Learning Engineer
Twine, United States
Job Description
About Twine
We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. Twine's experts get to participate in generating quality datasets at an unprecedented scale. With over half a million registered freelancers and a growing roster of 35,000+ companies, we've become the comprehensive solution for freelancing.
Our Mission
At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours.
About the role
We are seeking a Machine Learning Engineer for a IT service management company. The responsibilities of this role include:
- Implementing, refining, and validating machine learning algorithms for products and applications.
- Implementing data pipelines, including data ingestion, validation, cleaning, and monitoring.
- Training machine learning models, validating their accuracy, and deploying them into production.
- Assisting in the development of proof of concept solutions and contributing to studies for future product or application development.
- Researching, writing, and editing technical documentation and requirements.
- Testing and evaluating solutions through case studies, testing, and reporting.
Requirements
- Bachelor’s degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience.
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools, and knowledge of deploying and monitoring machine learning models.
- Strong programming and software development skills, with familiarity in Python, Java, or Scala.
- Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.
- 1-3 years of related experience after obtaining a Bachelor’s degree.