Machine Learning and Data Science Professional with AI Expertise
2 days ago
About Us
">Tangram is a leading innovator in the field of artificial intelligence and data science, and we are committed to creating cutting-edge technologies that drive business growth. We are seeking a talented AI developer with a strong background in data science to join our team.
">Job Summary
">We are looking for an exceptional AI developer who can design, develop, and implement advanced AI models and data-driven solutions that enhance our products and contribute to our overall business strategy. The ideal candidate will have a strong foundation in programming languages such as Python, Java, or R, and demonstrated expertise in AI and machine learning frameworks.
">Key Responsibilities:
">- Develop, test, and deploy machine learning models and algorithms to solve complex business problems.
- Analyze and interpret complex datasets to extract meaningful insights that inform strategic decision-making.
- Collaborate with cross-functional teams to define and develop data-driven features and tools.
- Design and implement data pipelines and frameworks for data collection, processing, and analysis.
- Continuously monitor, optimize, and validate AI models to ensure accuracy and reliability.
- Stay updated with the latest advancements in AI, machine learning, and data science to apply best practices and innovative solutions.
- Create clear and comprehensive documentation for data models, algorithms, and processes.
Requirements:
">- Proven experience as a software developer with a strong foundation in programming languages.
- Demonstrated expertise in AI and machine learning frameworks.
- Solid understanding of statistical analysis, data mining techniques, and predictive modeling.
- Experience with data visualization tools and data manipulation.
- Excellent problem-solving skills with the ability to think critically and analytically.
- Strong collaboration and communication skills.
Benefits:
">Tangram offers a competitive salary, opportunities for professional development and continuous learning, flexible working hours, and a collaborative and inclusive work environment.
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