Sr Machine Learning Associate

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

Location: Remote (Bengaluru, Hyderabad, Chennai)

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:

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 “normal” 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.

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