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2 months ago
Job Summary
We are accelerating enterprise AI efforts and creating innovative Generative AI platforms and applications. The team is looking for candidates to join our team and help us build and support our web applications. You will be responsible for developing both back-end and front-end features of our products, ensuring high performance, scalability, and security. You will also collaborate with other engineers, designers, and product managers to deliver user-friendly and innovative solutions.
- Minimum Qualification: MBA / MSc
- Experience Level: Entry level
- Experience Length: 8 years
Job Description/Requirements
What You Will Be Doing:
- Work closely with cross-functional teams, including machine learning engineers, to deliver integrated and self-service solutions.
- Collaborate with the cloud team to integrate backend services with cloud platforms (such as AWS, or Azure), optimizing performance, and ensuring scalability and reliability.
- Solving and debugging issues across the full stack.
- Optimizing the performance and usability of the web applications.
- Stay updated with the latest trends and best practices in web development and machine learning
- Develop and maintain machine learning pipelines, from data collection and preprocessing to model training and deployment
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 8+ years of hands-on experience in backend development, web technologies, on-prem & cloud platforms, or data pipeline management.
- 5+ years of experience in full stack web development using HTML, CSS, JavaScript, and one or more of the following frameworks: React, Angular, Vue, or Node.js
- At least 1 year experience in machine learning using Python, TensorFlow, PyTorch, or other libraries and frameworks
- Knowledge of web development concepts such as RESTful APIs, MVC, etc.
- Experience with container platforms, such as Nomad, Kubernetes and Docker.
- Experience with both relational and NoSQL databases.
- Develop and implement observability features, such as monitoring, logging, tracing, and alerting, for applications and ML models
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