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Develop, deploy and optimize models to enable AI capabilities and improve user experience
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Collaborate with a team of Machine learning, software and product experts to bring your model from idea to the product through micro-service-based systems
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Work in an Enterprise SaaS platform in an Agile, cloud-based environment, and follow and ensure best engineering practices
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Utilize and be exposed to wide range of cutting edge technologies:
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Front end: React, Typescripts, Graph QL, JavaScript
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Back End: C#/.NET, Python, Kubernetes, Docker, Apache Kafka
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Cloud: Azure, AWS, Google Cloud, IBM
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DevOps: Terraform, Kubernetes, Ansible, Jenkins, Python
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AI/ML: LLMs (Azure, Google, etc.), Vertext AI, Azure AI, IBM watsonx, huggingface, open source models
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Graduating from a BA/BS/MS program in Machine Learning, AI, Data Science, or Computer Science
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Excellent interpersonal skills, strong partnership and collaboration skills, along with a desire to both learn and teach
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High energy, enthusiasm, and ambition to grow in your career
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Good organizational skills and attention to detail
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Understanding of wide range of technologies in AI, Generative AI, data science, Computer vision, NLP, Python libraries, ML cloud services, and data tools
