Machine Learning Associate

1 week ago

Remote, India Technology Next Full time

**Location**: Remote
**Shift Timing**: 1:30 PM - 10:30 PM IST
**Type**: Contract

**Interview Process**:

- Initial 15-minute HR Screening
- Followed by a Technical Evaluation with 1 or 2 Client Rounds

**Background Verification (During Onboarding)**:

- Employment History Check
- PCC (Police Clearance Certificate / Criminal Record Check)
- Fluent English Communication (mandatory for collaboration with global teams)

**Role Summary**:
We are looking for a highly capable and agile **Machine Learning Associate** with a strong foundation in **Computer Vision** to support a cutting-edge AI initiative in **pharmaceutical manufacturing automation**. This role focuses on developing and integrating machine learning models within an **AWS-native environment**, with an emphasis on real-time anomaly detection using high-definition camera feeds on a drug manufacturing line.

**Project Overview**:

- **Use Case**: AI Computer Vision Model Development for Drug Manufacturing Line Clearance
- **Infrastructure**: Fully AWS-based environment
- **ML Platform**: AWS SageMaker
- **Objective**: Develop and deploy CV models to monitor live HD video feeds, identify anomalies, and compare real-time data against trained models of normal operations
- **Responsibility**: Adapt and align software models with real-world camera hardware using scalable, GPU-accelerated infrastructure

**Technical Skills Required**:
**Core Expertise**:

- **Computer Vision** - Senior/Expert level
- **AWS SageMaker** - Model training, deployment, optimization
- **AWS Greengrass** - Edge computing and device software integration

**Supporting Skills**:

- Experience working with **NVIDIA Triton Inference Server** for GPU-accelerated model inference
- Familiarity with model performance optimization and inference latency tuning

**Key Responsibilities**:

- Develop, train, and fine-tune computer vision models using AWS SageMaker
- Integrate ML models with real-time video processing from HD camera feeds
- Collaborate with engineering teams to align model output with hardware integration using AWS Greengrass
- Monitor model performance and accuracy using edge deployment and feedback loops
- Troubleshoot and resolve complex integration challenges between AI models and physical devices
- Contribute to continuous improvement through agile practices, documentation, and innovation

**Nice to Have**:

- Prior experience in **life sciences**, **pharma**, or **manufacturing AI use cases**:

- Exposure to **MLOps pipelines** and **CI/CD** practices in model deployment
- Background in real-time or edge-based inference systems

**Job Types**: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ₹90,000.00 - ₹100,000.00 per month

Schedule:

- Day shift
- Monday to Friday

**Experience**:

- AWS green house: 3 years (required)
- Machine learning: 7 years (required)

Work Location: Remote

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