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As an AI Engineer, you will build end-to-end ML/AI features to solve real problems, from training predictive models that detect car faults to prototyping LLM-powered tools for summarizing business data or automating various processes, for different teams.
What You'll Do
- Develop, train, and deploy ML models
- Build and deploy various AI-driven solutions
- Collaborate with product teams to turn AI/ML ideas into features for users
- Help the organization adopt AI tools and automate internal processes
- Monitor and ensure the performance and quality of AI/ML solutions
- Maintain reproducible code, testing and documentation standards
- Hands‑on experience developing and deploying ML models or AI solutions to production
- Proficiency in Python and core ML libraries (Pandas, PyTorch, etc.)
- Strong understanding of statistics, probability, A/B testing, feature engineering, and validation
- Experience deploying AI features using Docker and API‑based microservices
- Ability to juggle smooth communication and project execution
- Knowledge of IoT / connected device data flows
- Knowledge of experiment design and A/B testing
- General understanding of CI/CD concepts
- Fair pay for bold work: We reward your expertise with competitive pay that grows as you do. Plus, you get a yearly, company goal-based bonus.
- Hybrid Work Flexibility: Work 3 days in the office and 2 days from home or wherever suits you best. Also, feel free to work remotely from abroad for up to 183 days a year
- Focus on your well-being: Choose your comprehensive health plan, get paid days off to care for yourself and your family, and enjoy flexible working hours.
- Real learning opportunities: Grow your skills with a 2% gross salary learning budget. Take your monthly paid self-learning day and improve stress-free.
- Culture that connects: Enjoy Friday lunches on us, team buildings, company parties, and all the usual office perks like snacks, a cozy lounge, Xbox, and more.
- Environment for real impact: Got an idea that'll make OBDeleven better? Share it, get feedback, fine-tune, and take action. We trust expertise and value ownership.
Key Skills
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