
Machine Learning Associate
7 days ago
**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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