Machine Learning Engineer

at  Sonia Solutions

Home Office, Nordrhein-Westfalen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate09 Feb, 2025Not Specified16 Nov, 20243 year(s) or abovePython,Publications,Docker,Industrial Research,Research Projects,Computer ScienceNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

We’re looking for a Machine Learning Engineer with research experience to join our AI team. You’ll bridge the gap between research and engineering, implementing and deploying state-of-the-art NLP solutions while maintaining high engineering standards.

Tasks

  • Implement and adapt latest research in NLP for production use
  • Develop and deploy efficient RAG systems and fine-tuning pipelines
  • Design and conduct experiments to validate new approaches
  • Build and maintain ML pipelines and data processing workflows
  • Contribute to MLOps practices and infrastructure improvements

Requirements

REQUIRED QUALIFICATIONS:

  • Master’s degree in Computer Science, Engineering, or related technical field
  • 3+ years of hands-on ML engineering experience
  • Demonstrated research experience (publications, research projects, or industrial research)
  • Strong programming skills in Python and ML frameworks (PyTorch, JAX)
  • Experience with latest transformer based architectures
  • Knowledge of ML deployment and MLOps tools (Docker, MLflow, W&B, DVC)

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities:

  • Implement and adapt latest research in NLP for production use
  • Develop and deploy efficient RAG systems and fine-tuning pipelines
  • Design and conduct experiments to validate new approaches
  • Build and maintain ML pipelines and data processing workflows
  • Contribute to MLOps practices and infrastructure improvement


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Computer Science, Engineering

Proficient

1

Home Office, Germany