Mid-Senior Python/TensorFlow Developer
DevengineJob description
Remote - US
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Contract An AI-focused startup currently in stealth mode is seeking a Mid–Senior Python / TensorFlow Machine Learning Engineer to help build advanced AI-powered enterprise software solutions. This is a ground-floor opportunity to join a founding team and work on core AI/ML capabilities in real production environments, using modern AI-augmented tools and development practices.
It’s a long-term contract opportunity with no end date. The engagement is fully remote. The candidate can be located anywhere in LatAm. You'll need strong English communication skills (at least B2+ or higher) for this role. There may be very occasional travel to Buenos Aires for team-building events, and there is a slight preference for candidates located in Argentina.
- *Responsibilities
- Develop, train, fine-tune, and deploy machine learning systems using Python and TensorFlow
- Build and optimize AI/ML capabilities within production environments (performance, reliability, scalability)
- Work within an Azure AI partner environment and help manage Azure AI infrastructure as needed
- Use AI coding assistants (e.g., GitHub Copilot, Cursor, Claude) as an active, daily part of your workflow to accelerate delivery while maintaining code quality and architectural standards
- Collaborate closely with the founding team on product architecture and AI/ML development priorities
- Integrate and/or support retrieval and semantic search workflows leveraging Cosmos DB as the vector database
- *Experience & Technical Requirements
- Mid-Senior-level Python development, with a proven track record shipping production ML applications (not only notebook experiments)
- Strong hands-on TensorFlow experience across the ML lifecycle:
- Model development/training
- Deployment to production
- Optimization and performance tuning
- Ability to clearly explain which ML libraries you’ve used in production, and why
- Ability to describe which model types/architectures you’ve built or deployed in TensorFlow (e.g., the kinds of models you’ve trained, served, optimized, monitored)
- *Nice to Have
- Experience working with Azure AI infrastructure
- Background in enterprise SaaS product development
- TensorFlow.js experience
- *Important Notes:
- *Of Note:**
- Completed background checks will be required before the start date if you are selected as a winning candidate.
- You will be required to sign an NDA prior to starting work.
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