About the Team
The Ingenta team is a group of seasoned professionals from esteemed global enterprises and academic institutions, each with over a decade of expertise in AI, software, hardware, marketing, and business development. Our goal is clear: to implement our cutting-edge AI technology into world-class enterprises and change the society we are living in a positive way. Operating with innovation, flexibility, and a global mindset, our dynamic workspace fosters diverse interactions and an energetic atmosphere, driving exceptional creativity and collaboration.
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Maintain deployed AI/ML models, ensuring their reliability and performance over time.
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Design and develop AI/ML models and algorithms to drive innovative applications and products.
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Perform data mining, data cleaning, and data preprocessing.
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Conduct experiments and prototype new models to evaluate their performance and potential impact.
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Collaborate with cross-functional teams, including AI scientists, product managers, and software engineers, to understand business needs and develop scalable and efficient AI/ML solutions.
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Communicate complex AI/ML concepts and the results of analyses clearly and effectively to stakeholders.
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BS or MS degree in Computer Science or a related field, or equivalent work experience.
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Essential software engineering skills include proficiency in Git and its workflows, along with the capability to develop code that is ready for production use.
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Proficiency in Python, and familiarity with AI/ML frameworks and related tools (e.g., PyTorch, TensorFlow, Keras, Numpy, Pandas, Scikit-Learn).
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Strong understanding of AI/ML basic algorithms, principles, and best practices, especially in Computer Vision.
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Experience with data processing and data analytics tools and techniques.
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Ability to work collaboratively in a team environment and communicate technical concepts to non-technical stakeholders.
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Strong problem-solving skills and the ability to work on complex problems where analyses require in-depth evaluation of various factors.
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Experience in deploying AI/ML models in production environments, and familiarity with MLOps tools.
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Experience in model acceleration and optimization, and familiarity with related tools (e.g., OpenVINO, TensorRT).
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Knowledge of cloud computing services (e.g., AWS, GCP, Azure) and their AI/ML capabilities.
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Strong understanding of the latest AI/ML techniques and technologies in other fields, such as Natural Language Processing, Generative AI, and Graph Deep Learning.
Responsibility
Basic Qualifications
Preferred Qualifications
