Machine Learning Engineer.

Vuegen Technologies Inc
Hoffman Estates, IL, United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$130,707.0 - $132,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Machine Learning Google Cloud

Job description

Assist in developing and implementing machine learning models for image-based solutions under established guidelines.

Assist in researching and benchmarking state-of-the-art machine learning techniques by developing proof-of-concept implementations, evaluating performance, and producing clear technical documentation of results.

Assist in deploying machine learning models on cloud platforms such as Google Cloud Platform (GCP) to support scalability, performance, and reliability requirements under the guidance of the team lead.

Perform data collection, validation, and basic analysis to support model performance monitoring and improvement efforts.

Collaborate with cross-functional teams to gather requirements and support the implementation of technical solutions.

Stay informed about emerging AI and Machine Learning technologies and apply relevant concepts to assigned project tasks.

Requirements

Qualification: Master’s degree in CS, IT, Engg or related., Requirements: Master’s degree in CS, IT, Engg or related. Salary ranges between $130,707.00 to $132,000.00/year. Send resume to: hr@vuegen.com including the JOB ID. Travel and relocation to various unanticipated client locations throughout the United States may be required. Equal Opportunity Employer.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:33 min

Summary of machine learning capabilities and engineering opportunities

Jan Zawadzki · LIVE

2:21 min

Introduction to machine learning in the automotive industry

Jan Zawadzki · LIVE

4:42 min

Container hosting options available on Google Cloud Platform

Federico Fregosi · World Congress 2022

Videos

See all

Related articles

See all