Innovative Data Scientist
2 weeks ago
We are driven by innovation and a friendly culture, committed to guiding our customers from what's now to what's next. Our goal is to unlock the value of their data and applications, solving their digital challenges and achieving outcomes that benefit both business and society.
Our key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering, reflecting our strategic commitment to driving innovation and value for clients across industries.
Key Requirements:
- Proficient in Python programming language.
- Familiar with Tensorflow/Keras frameworks.
- Experience in building ML Pipeline and setting up big data processing pipelines.
- Able to evaluate model and benchmark various model versions on different data and report generation.
- Experience in Vision Domain ML models would be an advantage but not mandatory.
- Comfortable generating data in model format, tfrecords, lmdb, or similar formats.
- Proficient in data analysis and visualization.
- Knack for debugging python compilation, data reading issues.
- Proficiency in usage of development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools.
Benefits:
By joining our team, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and grow your skills in a dynamic and supportive environment.
What We Offer:
As a Machine Learning Engineer, you will be part of a collaborative and innovative team, working on challenging projects that make a real impact.
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