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    Lead Machine Learning Engineer - Bengaluru, India - Arintra

    Arintra
    Arintra Bengaluru, India

    Found in: Talent IN 2A C2 - 3 days ago

    Default job background
    Healthcare
    Description

    Arintra is an artificial intelligence-based healthcare backed by YCombinator. We have built a clinically-driven AI-powered technology to autonomously generate accurate medical codes to improve billing for hospital systems in the USA. Through our product, we aim to reduce administrative hassles and maximize revenue for healthcare providers by automating their coding and billing with zero workflow change. Innovation and commitment to our mission are core to our DNA and through our shared values, we foster an environment of inclusion, empowerment, accountability, and fun

    Why Explore a Career at Arintra

    Working with Arintra presents a tremendous opportunity to create a meaningful impact within the intersection of technology and healthcare. It's a chance to work alongside a group of incredibly passionate and driven individuals with diversified skill sets. Our fast-growing, interactive and adaptive work culture complements an individual's professional growth and fosters their sense of personal value as well as ownership. So, if you are culture-driven, performance-oriented and have the right skills, reach out to us

    Responsibilities:

    • Lead a team of NLP engineers in the design, development, and deployment of NLP systems
    • Collaborate with stakeholders to understand their requirements and translate them into technical specifications
    • Ensure that your team is following best practices in software development, such as agile methodologies, code reviews, and testing
    • Ensure that NLP systems are scalable, reliable, and secure (Deploy in real world - large scale - secure and reliable way - very direct impact on hospital systems)

    Requirements:

    • At least 6 years of experience in NLP software development
    • At least 3 years of experience leading a software engineering team
    • Experience with cloud computing platforms, such as AWS or GCP
    • Excellent communication and leadership skills
    • Familiarity with modern software development tools and technologies, such as Git, JIRA, and Python
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