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6 days ago
The ideal candidate will be responsible for developing and implementing machine learning solutions to drive business growth and innovation. They should have experience in building and deploying large-scale machine learning pipelines, as well as setting up big data processing pipelines.
Proficiency in Python is required, along with familiarity with TensorFlow and Keras frameworks. Experience in vision domain ML models would be an advantage but not mandatory.
Required Skills and QualificationsWe are looking for someone who is skilled in:
- Developing and deploying machine learning models
- Building and setting up big data processing pipelines
- Data analysis and visualization
- Debugging Python compilation and data reading issues
Acknowledging and rectifying errors during testing phases is a must.
BenefitsThis role offers the opportunity to work on cutting-edge projects and collaborate with a talented team of professionals. The ideal candidate should be comfortable generating data as per model format, tfrecords, lmdb or similar format.
OthersOur client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million, marking a 1.4% increase from the previous year.
Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.
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