Visionary Machine Learning Architect
3 days ago
About Anzyglobal
We are a cutting-edge technology company that empowers innovation through data-driven solutions. Our mission is to harness the power of machine learning to drive business growth and customer satisfaction.
Salary Range: $180,000 - $250,000 per year, depending on experience.
Job Description:
Data-Driven Innovation
As a Staff Software Engineer at Anzyglobal, you will play a key role in building new products and improving all aspects of our platform. With a focus on machine learning, you will design and deploy algorithms that drive business impact and customer value.
Key Responsibilities:
- Design and deploy machine learning algorithms for e-commerce, consumer trends, logistics, and new product development.
- Work with large unstructured data sets using natural language processing, image classification, time series analysis, and outlier detection.
- Multiply the effect of your data science team by building frameworks, tools, and methodologies that improve collaboration and efficiency.
- Provide thought leadership through high-quality write-ups, reviews, and vision grounded in practical experience and industry expertise.
Requirements:
- Strong machine learning skills with fluency in Python, PyTorch, TensorFlow, Pandas, and NumPy.
- Data Engineering skills and experience working with large data sets (TB) in production settings.
- 5+ years of hands-on experience shipping models to production, working on various problem spaces (user modeling, spam classification, prediction, clustering, etc).
- MS in Computer Science, Statistics, Math, Science, or similar quantitative fields, plus 5+ years of industry experience.
- Strong software engineering and coding skills with the ability to write production-quality code.
- Experience with SQL and NoSQL databases, as well as Linux and shell scripting.
- Previous startup experience is highly valued.
About You
We are looking for an exceptional individual who shares our passion for machine learning and data-driven innovation. If you have a strong background in machine learning, software engineering, and data engineering, and are excited about working in a dynamic and collaborative environment, we encourage you to apply.
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