Senior Machine Learning Associate (Computer Vision)

Job Title: Senior Machine Learning Associate (Computer Vision) – Remote (India)

Location: Remote (India)

Engagement Type: Long-Term Contract

Start Date: ASAP

Work Hours: Overlap with EST time zone

Dual Employment: Not permitted

About the Role:

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.

Key Responsibilities:

Design, develop, and deploy computer vision models using AWS SageMaker.

Work on edge computing solutions using AWS Greengrass.

Support integration and optimization of models on Nvidia Triton GPU infrastructure.

Analyze HD camera feeds to detect anomalies in drug manufacturing line operations.

Build and train models to understand “normal” production line behavior and identify deviations.

Troubleshoot and enhance real-time AI/ML applications in a live production environment.

Collaborate with global technical and product teams; communicate fluently in English.

Remain adaptable and solution-oriented in a fast-paced, agile setup.

Required Skills & Experience:

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.

Interview Process:

15-minute HR Screening

Technical Interview(s) with 1–2 client representatives

Why Join Us:

Global exposure and collaboration with international teams

Long-term remote engagement with flexible working

Opportunity to contribute to impactful AI-driven solutions in drug manufacturing

Transparent and professional work culture