We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Software Engineer - ML Ops
Location
United States
Posted
13 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- 5–7 years of software engineering experience, including production-level system deployment
- Strong Python development experience (2+ years) and familiarity with cloud computing environments (AWS preferred)
- Experience with containerized deployments using Docker and Kubernetes
- Knowledge of software architecture, design patterns, testing, version control, and CI/CD best practices
- Proficiency with infrastructure-as-code tools such as Terraform or AWS CDK
- Experience monitoring and optimizing production systems using tools like Datadog, ELK, Grafana, or Prometheus
- Participation in on-call rotations and handling operational escalations
- Nice-to-have: experience with machine learning frameworks (TensorFlow, PyTorch, XGBoost, Scikit-learn), ML lifecycle tools (MLflow, Kubeflow, Seldon Core), and microservices/API development
Benefits
- Competitive base salary range: $130,000 – $180,000 USD
- Equity opportunities and performance-based incentives
- Unlimited Paid Time Off (PTO) and flexible remote-first culture
- Comprehensive healthcare, vision, and dental plans, including employer contributions to Health Savings Accounts (HSA)
- Paid parental leave and family-focused perks, including diaper delivery for newborns
- Retirement plan with competitive 401(k) match
- Home office allowance and opportunities for professional development
- Wellness programs including Employee Assistance Program and 24/7 telemedicine access
- Regular team activities, social events, and in-person gatherings to foster collaboration and culture
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