Machine Learning Intern

2 days ago

Remote, India School Talkz Full time

**About Us**

We're developing an innovative Cricket Batting Analysis System that uses AI and computer vision to analyze batting techniques and provide feedback to players. Our technology stack includes Azure Machine Learning, YOLOv7-pose, MoveNet, and a modern React/Node.js frontend.

**Position Overview**

We're seeking two talented interns to support our AI model development and data annotation efforts. These roles offer hands-on experience with cutting-edge computer vision technology in sports analytics.

**Key ResponsibilitiesAzure ML Responsibilities**:

- Configure and maintain Azure ML workspaces and compute resources
- Assist in implementing YOLOv7-pose and MoveNet models in Azure ML
- Help optimize model training and inference pipelines
- Support deployment of trained models as Azure ML endpoints
- Contribute to API development for inference requests
- Assist with performance benchmarking and testing
- Help integrate Azure Blob Storage with Azure ML pipelines

**Data Annotation Responsibilities**:

- Annotate cricket batting videos with precise keypoints and labels
- Mark cricket equipment (bat, ball, stumps) in video frames
- Annotate bat keypoints (3-5 points) for path and angle analysis
- Classify cricket shots and mark shot phases
- Maintain consistent annotation quality across diverse cricket videos
- Document annotation patterns and edge cases

QualificationsRequired:

- Currently pursuing a degree in Computer Science, Data Science, or related field
- Basic understanding of machine learning concepts
- Strong attention to detail
- Ability to work independently and as part of a team
- Interest in sports technology and analytics

Preferred:

- Experience with Azure services, particularly Azure ML
- Prior work with annotation tools
- Knowledge of cricket or sports analytics
- Programming experience in Python

What You'll Gain
- Hands-on experience with cutting-edge AI/ML technologies
- Practical knowledge of the complete ML lifecycle using Azure ML
- Skills in creating high-quality training data for sports-specific models
- Exposure to a real-world AI product development environment
- Understanding of how computer vision is transforming sports analytics

Duration

2-month internship with possibility of extension based on performance and project needs.

Location

[Remote/On-site as applicable]

How to Apply

Please submit your resume, a brief cover letter explaining your interest in sports technology, and any relevant examples of your work with ML, annotation, or Azure technologies.

**Job Types**: Full-time, Part-time, Fresher, Internship
Contract length: 1 month

Pay: ₹6,000.00 - ₹12,000.00 per month

Expected hours: 30 per week

Schedule:

- Day shift

Work Location: Remote

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