Senior Machine Learning Engineer
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Direct message the job poster from Elios Talent
Co-Founder of Elios-Relationship Builder and Servant Leader....Romans 10:9 We’re looking for a Senior Machine Learning Engineer to develop and scale data-driven systems that power intelligent products and services. You’ll play a key role in building robust ML infrastructure and delivering production-ready models that drive real business impact.
What You'll Do:
Design and deploy scalable machine learning pipelines for training, evaluation, and inference
Partner with data scientists and engineers to bring ML prototypes into production
Implement MLOps best practices for versioning, testing, and deployment
Optimize models for speed, accuracy, and performance at scale
Build tools for monitoring and maintaining model performance over time
Collaborate across teams to identify ML opportunities and translate business needs into model solutions
What We're Looking For:
5+ years of experience in machine learning or data engineering
Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and ML infrastructure
Strong understanding of data structures, algorithms, and statistical modeling
Familiarity with MLOps tools and frameworks (MLFlow, Airflow, Kubeflow, etc.)
Bonus: Experience with time series, recommendation systems, or deep learning architectures
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering, Information Technology, and Analyst
Industries IT Services and IT Consulting, Software Development, and Financial Services
Referrals increase your chances of interviewing at Elios Talent by 2x
Inferred from the description for this job Medical insurance
Vision insurance
401(k)
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- Location:
- San Francisco, CA, United States
- Salary:
- $200,000 - $250,000
- Job Type:
- FullTime
- Category:
- IT & Technology