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Senior Data Scientist

1 month ago

Pune, Maharashtra, India AppZen Full time
Unlock the Power of AI with AppZen

AppZen is revolutionizing the world of autonomous spend-to-pay software with its patented AI technology. Our innovative solutions empower organizations to make smarter business decisions by accurately processing information from thousands of data sources.

As a Senior Data Scientist at AppZen, you will be part of a highly skilled and motivated team working on our growing AI stack. If you're passionate about natural language understanding and machine translation, this is the perfect opportunity to grow your skills and contribute to cutting-edge projects.

Key Responsibilities:
  • Design, develop, and implement state-of-the-art NLP algorithms and models using Transformers and similar architectures.
  • Lead the development of machine learning models and ensure data quality throughout all stages of acquisition and processing.
  • Manage your own process, identifying and executing on high-impact projects, and communicating proposals and results in a clear manner backed by data.
  • Collaborate with a team of data scientists and machine learning engineers to drive business decisions.
Requirements:
  • Strong understanding of machine learning fundamentals and experience with standard algorithms and techniques.
  • Expert knowledge of a statistical computing language such as Python, and knowledge of probability and statistics.
  • Good understanding of MLOps tools and processes, including Elasticsearch, Jenkins, and Docker.
  • Experience with Deep Learning frameworks like PyTorch and TensorFlow.
  • M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field.
  • 4+ years of industry experience.
What We Offer:
  • A dynamic and collaborative work environment.
  • Opportunities for growth and professional development.
  • A competitive salary and benefits package.

We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit, and business need.