Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
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Required skills include proficiency in Python, extensive experience with ML/DL libraries like TensorFlow, PyTorch, and Scikit-learn, experience with generative AI models, data manipulation using Pandas, NumPy, and Matplotlib, and cloud platforms like AWS. Soft skills needed are excellent problem-solving, analytical, leadership, communication, and collaboration abilities.
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Candidates need a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field, plus 7-9 years of experience in data science, machine learning, or relevant domain, along with the listed technical proficiencies.
Digital solutions for government agencies
Granicus provides digital solutions specifically designed for government agencies and public sector organizations. Their software products help improve the efficiency and transparency of government operations. Granicus offers a variety of tools, including platforms for managing public meetings, live streaming legislative sessions, and facilitating citizen engagement and feedback. These solutions enable government entities to communicate better with citizens and deliver services online more effectively. Unlike many competitors, Granicus focuses exclusively on the GovTech market, catering to a wide range of clients from federal to local government levels. The company's goal is to enhance public engagement and streamline government processes through technology, generating revenue primarily through subscription-based services and professional support.