We are currently seeking exceptional candidates to join the ranks of a leading MNC company headquartered in Chennai, operating within the dynamic education sector.
Experience: 6 to 12 years
Location: Chennai (Hybrid)
Position: Data Scientist
You’ll spend time on the following:
In this role you will be collaborating with IDP’s Data Engineering and Governance, an enterprise capability team and be responsible for: -
- Design the data pipelines and engineering infrastructure to support our technology enterprise machine learning systems at scale.
- Develop and deploy scalable tools and services for our business to handle machine learning training and inference.
- Maintain the infrastructure and tools that allow us to deploy and monitor our ML algorithms in production.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our business machine learning systems
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development, with an emphasis on auditability, versioning, and data security
- Communicate with business to build requirements and track progress with appropriate tools.
- Set up a robust experiment tracking infrastructure to boost the model ranking.
- Work with Product owners, Data Scientist, Data Engineers, Data Analyst, Software developers incl. Architects to efficiently integrate our ML models into our wider technology stack
- Contribute to keeping Standards and best practices up to date collaborating with the community
- Manage and prioritize multiple initiatives, incidents and service requests while adapting to changing business conditions.
- Prepare and maintain training material and SOPs, knowledge base articles and technical documentation.
- Take responsibility for Outcomes
- You love technology, are continuously learning and extending your knowledge of best practice and the business value of technology innovations.
Here’s what we’re looking for:
- Bachelor’s degree in Computer Science / Statistics
- 4 years+ experience of machine-learning in production with evidence of successful delivery and overall, 6 + years IT experience.
- Hand on experience with Quantitative analysis
- Experience with the full life cycle of ML projects, with a focus on deployment, monitoring and maintaining of ML systems along with quality assurance
- Should be able to validate models via back testing
- Should be able to design and develop time series algorithms and recommendation engines to bolster the product development organisation
- Ability to write robust code using python
- Extensive knowledge on data structures and models
- Hands on experience with machine learning frameworks, libraries, and deep learning
- Knowledge on Continuous integration and deployment
- Expertise in visualizing and manipulating big datasets