Posted:1 week ago|
Platform:
Remote
Contractual
๐๐จ๐ ๐๐ข๐ญ๐ฅ๐: ๐๐๐ง๐ข๐จ๐ซ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ฌ๐ฌ๐จ๐๐ข๐๐ญ๐ (๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง) โ ๐๐๐ฆ๐จ๐ญ๐ (๐๐ง๐๐ข๐)
Location: Remote (Bengaluru, Hyderabad, Chennai)
Engagement Type: Long-Term Contract
Start Date: ASAP
Work Hours: Overlap with EST time zone
Dual Employment: Not permitted
๐๐๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐๐จ๐ฅ๐:
KheyDigit Global Solutions Pvt Ltd is seeking a Senior Machine Learning Associate with deep expertise in Computer Vision to support an international pharmaceutical manufacturing project. This role involves building, optimizing, and deploying AI/ML models that enable automated drug manufacturing line clearance using real-time camera feeds and anomaly detection via AWS infrastructure.You will be part of a global team and collaborate directly with international clients. This is a 100% remote opportunity with long-term growth potential.
๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ:
1. Design, develop, and deploy computer vision models using AWS SageMaker.
2. Work on edge computing solutions using AWS Greengrass.
3. Support integration and optimization of models on Nvidia Triton GPU infrastructure.
4. Analyze HD camera feeds to detect anomalies in drug manufacturing line operations.
5. Build and train models to understand โnormalโ production line behavior and identify deviations.
6. Troubleshoot and enhance real-time AI/ML applications in a live production environment.
7. Collaborate with global technical and product teams; communicate fluently in English.
8. Remain adaptable and solution-oriented in a fast-paced, agile setup.
๐๐๐ช๐ฎ๐ข๐ซ๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ & ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐:
*5+ years of experience in Machine Learning, with a strong focus on Computer Vision.
*Expert-level experience in AWS SageMaker and AWS Greengrass.
*Experience in deploying models on GPU-based infrastructures such as Nvidia Triton.
*Strong problem-solving skills with the ability to debug complex model and deployment issues
*Excellent communication skills in English, able to work independently with international stakeholders.
*Prior experience working in regulated or manufacturing environments is a plus.
*Exposure to AI/ML use cases in Pharmaceutical or Manufacturing sectors.
*Familiarity with model versioning, CI/CD pipelines, and MLOps practices.
*Understanding of camera-based systems or computer vision libraries like OpenCV, PyTorch, or TensorFlow.
๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ:
15-minute HR Screening
Technical Interview(s) with 1โ2 client representatives
KHEYDIGIT
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