Providence College Of Engineering Hiring Drive 2024: Providence College Of Engineering Hiring Drive 2024 for its Data Annotation Analyst. Providence College Of Engineering Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a graduate in B.E/B.Tech. if you are interested, please apply as soon as possible.
Company Name: Providence College Of Engineering
Role: Data Annotation Analyst
Location: Hyderabad
Experience: 0 – 2 years
Qualification: B.E/B.Tech
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Providence College Of Engineering Hiring Drive 2024
Job Description:
- Best In-class Benefits
- Inclusive Leadership
- Reimagining Healthcare
- Competitive Pay
- Supportive Reporting Relation
- What will you be responsible for
- Data annotation- a critical step in supervised learning-is the process of labelling data to teach the AI and ML models to recognize specific data types to produce relevant output.
Requirements:
- A graduate in B.E/B.Tech (Computer Science/ Data Science /Equivalent Background)
- Prior experience working on Healthcare data labeling, training, and evaluating data for machine learning models.
- Working knowledge of Data annotation tools such as Prodigy
- Good Programming skills in Python with Django Framework; TensorFlow; PyTorch; JSON File Format
- Proficient in SQL
- Familiar with cloud-based technologies like AWS /AZURE etc.
- A go-getter, good in communication, challenge ideas to achieve career aspirations aligned with Providence mission
- A Learning Enthusiast to be passionate about learning, follow trends and publications in the market outlining new solutions
- Good interpersonal and communication skills
Responsibility:
- Contribute to creating a robust vision for data analytics team within Providence India.
- Learning the Data Annotation Tools quickly.
- Owning the development quality of the Data Annotation Tool.
- Help to define data labelling quality metrics, reports analysis of the same.
- Good Team player and should follow agile development methodologies.
- Analysis and resolution of customer and internal reported issues
- Responsible to meet deadlines.
- Highly self-motivated and energetic
- Labelling/Annotation of data
- Audit labelling made by AI Models for quality check
- Prepare objective guidelines for existing and new use cases
- Discuss with different stakeholders for the right annotation requirements .
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