Join NeuralPath and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Senior MLOps Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.
What You'll Do:
- Develop ML models and deploy them to production environments
- Create dashboards and reports for business stakeholders
- Collaborate with analysts and engineers to define data models
- Document data assets and maintain data catalog accuracy
- Design and optimize data warehouse schemas for performance
- Monitor data quality and build alerting systems for anomalies
What We're Looking For:
- Excellent communication and stakeholder management skills
- Proven track record of delivering complex, high-impact projects
- Ability to drive technical decisions with long-term impact
- 5+ years of relevant professional experience
- Strong system design and architectural thinking
What We Offer:
- Unlimited PTO and company-wide recharge days
- Annual learning and development budget ($1,500+)
- Fully remote — work from anywhere in the world
- Flexible hours — we trust you to manage your time
- Home office setup stipend ($500-$1,000)
To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.