Turnberry Solutions
Posted 68 days agoVerified live 1d ago
Machine Learning Engineer
Brief overview
Remote
UndergradOr in progress
$95k–$135k/yrStated range
1+ yrsMinimum
42 H-1B approvalsDept. of Labor
10 green cardsCertified filings
Machine learningDeep learningData miningStatistical analysisMachine learning model deploymentMachine learning model monitoringPythonJavaScalaKafkaSparkDocker
About the company
Turnberry Solutionsthreebridge.com
Turnberry Solutions is a business and technology consulting and implementation firm that believes brilliant strategy only matters when paired with excellent execution.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.42H-1B approved
93%approval rate
17new H-1B hires
10PERM certified
$100,006median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202316
202417
20258
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20235
20242
20253
20263
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20233
20243
20254
Top sponsored roles
Data Analysis, Sr. AssociatePrincipal ConsultantSalesforce Developer - Managed ServicesSenior Data ScientistNetwork Operations Consultant
Sponsored employees from
IndiaUnited States Of America
Job description
Summary
Turnberry Solutions is a consulting firm focused on digital modernization. As a Machine Learning Engineer, you will implement and validate machine learning algorithms, develop data pipelines, and contribute to proof of concept solutions to enhance digital experiences for clients.
Responsibilities
- Implement, refine, and validate machine learning algorithms for products and applications
- Implement data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring
- Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production
- Assist in development of proof of concept solutions and contribute to studies to support future product or application development
- Research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports
- Test and evaluate solutions
- Complete case studies, testing, and reporting
Skills
- Bachelor's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
- 1-3 years related experience after Bachelors
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models
- Strong programming and software development skills and familiarity with Python, Java or Scala
- Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker
Qualifications
Must Haves
- Bachelor's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
- 1-3 years related experience after Bachelors
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models
- Strong programming and software development skills and familiarity with Python, Java or Scala
- Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker
Benefits
- Comprehensive healthcare package (medical, dental, vision)
- Disability and group term life insurance
- Health and flexible spending accounts
- Utilization bonus
- 401(k) with match
- Flexible time off for salaried employees
- Parental leave for salaried employees
- Flexible work arrangements (all benefits are subject to eligibility requirements)
