Engineering Manager
RemoteStaffNACloud ComputingArtificial IntelligenceEngineering ManagerC#JavaPythonscikit-learnASP.NET
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Requirements
- Backend: .NET / C#, ASP.NET, TypeScript
- Backend:
- Frontend: React (with some Angular), JavaScript, TypeScript,
- Frontend:
- Mobile: Flutter + Dartr
- Mobile:
- Databases: CosmosDB (NoSQL), Postgres, Elasticsearch, Snowflake
- Databases:
- A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 8+ years of experience in software engineering, with at least 3 years focusing on machine learning, AI, and data science.
- Proven track record in developing and deploying ML models and AI solutions at scale.
- Proficiency in one or more programming languages such as Python, C#, or Java, with strong knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (Azure preferred) and deploying AI/ML solutions in a cloud-native environment.
- The Way You Work
- You Own the Outcome: You thrive in an environment of high autonomy. You don’t just hand off code; you take pride in seeing your solutions through from inception to long-term maintenance.
- You Own the Outcome:
- Innovation through Experimentation: You balance practical application with theoretical curiosity, constantly looking for ways to harness AI/ML to solve "unsolvable" logistics problems.
- Innovation through Experimentation:
- Safety First: You thrive in our blameless culture. When a model underperforms or a deployment fails, you focus on the "root cause" rather than the "who," sharing lessons learned to help the whole team grow.
- Safety First:
- Transparency: You operate with trust and fairness. Whether you're discussing model bias or architectural trade-offs, you communicate with clarity and honesty.
- Transparency:
Responsibilities
- Architect, build, and scale ML models and AI-driven solutions using frameworks like TensorFlow or PyTorch, ensuring they are optimized for real-world transportation logistics.
- Lead the full lifecycle of AI features, from initial data engineering and model training to deployment within a cloud-native Azure environment.
- Integrate predictive models and intelligent reporting systems into the core .NET/C# and CosmosDB ecosystem, ensuring seamless communication between the backend and AI services.
- Operational Excellence (MLOps): Implement and maintain robust CI/CD pipelines and monitoring via Azure Monitor to ensure model performance, reliability, and fairness in production.
- Partner with Product Managers to translate complex logistics challenges into technical roadmaps and actionable AI innovations.
Benefits
- Competitive Equity: Become a true owner in Alvys and share in the success as we scale the future of logistics.
- Competitive Equity:
- Medical, Dental, & Vision: Comprehensive coverage to ensure you and your family have access to top-tier healthcare.
- Medical, Dental, & Vision:
- Remote-First Culture: Enjoy the flexibility of working from wherever you are most productive in a culture built for distributed success.
- Remote-First Culture:
- Unlimited PTO: We prioritize results over hours and trust you to take the time you need to recharge.
- Unlimited PTO:
- Parental Leave: Support for your family with leave policies designed for life’s big transitions.
- Parental Leave:
- 401k Retirement Plan: Tools to help you plan for the long term and build your financial future
- 401k Retirement Plan:
- Equal Employment Opportunity
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