Deep Learning Engineer

Key responsibilities

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Solving complex data problems using deep learning techniques in computer vision OR Natural Language processing.

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Deliver production-ready models to deploy in the production system.

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Meet project requirements and timelines.

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Identify success metrics and monitor them to ensure high-quality output for the client.

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Share ideas and learning with the team.

Key Skills

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2+ years working experience with Python programming(Mandatory)

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Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks etc

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Machine learning expertise with exposure to one or more frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet etc (Mandatory)

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Minimum 2 year’s experience in NLP/Computer vision domain to succeed in this role (Mandatory)

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Exposure to DL Model optimization and transfer learning techniques

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Exposure to SOTA algorithms in computer vision &/or Natural language processing like faster RCNN,YOLO, GPT, BERT etc for respective domain tasks e.g. Object detection, tracking, classification, text summarization etc

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Strong verbal and written communication skills applied in communications with the team and client(s)

Fun Workplace

• Flat Job Hierarchy
• Flexible Work Hours
• Casual Dress Code
• Disciplined Workplace Environment

Learning & Development

• Team Cohesion

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Task Autonomy

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Smooth Reporting

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Extensive Training

HR Policies

• Satisfactory Job Pay
• POSH Act for inclusivity
• Flexible Leave Policy
• Monthly Paid Leaves
• Bonus & Incentives

Motivational

• Team Appreciation
• Individual Awards
• Performance Rewards
• Salary Appraisals