Associate Staff Engineer, Machine Learning

1 Month ago • All levels • Mobile Development

About the job

Job Description

This role requires you to be an Associate Staff Engineer with a strong foundation in Machine Learning. You will be responsible for building and deploying ML models for various applications. The role involves collaborating with cross-functional teams to understand business requirements and translating them into technical solutions. You will be working on innovative projects that push the boundaries of what's possible with Machine Learning.
Must have:
  • Strong understanding of Machine Learning concepts and algorithms
  • Experience in building and deploying ML models
  • Proficient in Python and related libraries for ML
  • Good understanding of data structures and algorithms
  • Ability to work independently and as part of a team
  • Excellent communication and problem-solving skills
Good to have:
  • Experience with cloud platforms like AWS or Azure
  • Knowledge of deep learning techniques
  • Experience with data visualization tools
  • Experience in Agile development methodologies
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Company Description

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Additional Information

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About The Company

Manila, Metro Manila, Philippines (On_site)

Mysuru, Karnataka, India (On_site)

Johannesburg, Gauteng, South Africa (On_site)

Atlanta, Georgia, United States (Hybrid)

Atlanta, Georgia, United States (Hybrid)

İstanbul, Türkiye (On_site)

Gurugram, Haryana, India (On-Site)

Gurugram, Haryana, India (On_site)

Gurugram, Haryana, India (On_site)

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