Senior Machine Learning Engineer

2 weeks ago

Bengaluru, India Anzyglobal Full time

Job Description :


We are hiring a Staff Software Engineer to build new products and improve all aspects of the Narvar platform Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users. Machine Learning Engineers at Narvar work across the stack. We are full-stack' ML Engineers. This means that we write production-level code and own machine-learning operations for our teams.


Responsibilities :


- Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products.


- Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc.


- Work with large unstructured data.


- Be at the intersection of mathematics, machine learning, business, and computer science, and impact millions of users through your work.


- Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team uses.


- Provide thought leadership to a team through high-quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view.


Requirements :


- Strong machine learning skills.


- Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages Data Engineering skills and large data experience.


- You should have dealt with large amounts of data (TB) in a production setting and built world-class data pipelines using cutting-edge tools (e. g. Spark).


- 5+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering, etc).


- MS in Computer Science, Statistics, Math, Science (physical or social), Engineering, or similar quantitative and computation field plus.


- 5+ years of industry experience


- Strong software engineering and coding skills with the ability to write production-quality code.


- Strong understanding of probability and statistics, machine learning, and algorithms.


- Experience with SQL and NoSQL databases.


- Experience working with Linux, and shell scripting.


- Previous startup experience is strongly preferred.

(ref:hirist.tech)

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