Role: ML Ops Engineer with statistical modeling and predictive analytics
Location: Remote (USA)
Job type: Contract to hire
Job Description
We are looking for an experienced ML Ops Engineer with 8+ years of experience to design, deploy, and manage scalable machine learning systems. The ideal candidate should have strong expertise in Python and R, along with hands-on experience in statistical modeling, predictive analytics, and open-source AI frameworks.
Key Responsibilities:
- Build, deploy, and maintain end-to-end ML pipelines in production
- Develop and optimize machine learning models for predictive analytics
- Work with large datasets and perform statistical analysis using Python and R
- Implement CI/CD practices for ML model deployment and monitoring
- Collaborate with data scientists and engineering teams to scale AI solutions
- Ensure model performance, reliability, and governance in production environments
Required Skills:
- 8+ years of experience in ML Ops / Data Engineering / Machine Learning
- Strong programming skills in Python and R
- Expertise in statistical modeling and predictive analytics
- Experience with open-source AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with cloud platforms (AWS/Azure/Google Cloud Platform)
- Knowledge of Docker, Kubernetes, and CI/CD pipelines
Regards,
Karthick Ramasamy
Talent Acquisition Manager
Rohnium Inc
MBE, DBE & SBE Certified Company
Direct: +1
India: +91
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