- Looking for a data scientist to work in the Global Data Science team. The jobs base location will be Chennai/Bengaluru.
- The candidate should have at least 2-4 years of working experience in the area of AI.
- The candidate should possess good skills in the areas of AI: Machine Learning/Deep Learning/ Reinforcement Learning
- The candidate should have good hands-on coding skills with Python and data science frameworks like TensorFlow/PyTorch.
- The candidate should have data analysis skills and representation of the data for deriving meaningful outcomes from high volumes of data.
- Exposure in the automotive domain is a plus. Experience in the MLOps is a plus.
- The candidate should have good analytical and storytelling skills.
Qualifications
Bachelors or Masters degree in Data Science Computer Science Engineering or related field.
3 years of experience in QA roles preferably with exposure to data science or machine learning projects.
Proficiency in Python SQL and relevant testing frameworks.
Experience with test automation and CI/CD pipelines is a plus.
Strong analytical skills and attention to detail.
Preferred Skills
Understanding of the metrics and quality measures of the data science models (ML DL RL and Gen AI)
Understanding of ethical AI and governance
Exposure to Agile software development processes
Familiarity with enterprise deployment standards and production environments.
Exposure to bug tracking and test management tools (e.g. Jira Azure DevOps).
Exposure to cloud platforms and edge deployments is beneficial.
Looking for a data scientist to work in the Global Data Science team. The jobs base location will be Chennai/Bengaluru. The candidate should have at least 2-4 years of working experience in the area of AI. The candidate should possess good skills in the areas of AI: Machine Learning/Deep Lear...
- Looking for a data scientist to work in the Global Data Science team. The jobs base location will be Chennai/Bengaluru.
- The candidate should have at least 2-4 years of working experience in the area of AI.
- The candidate should possess good skills in the areas of AI: Machine Learning/Deep Learning/ Reinforcement Learning
- The candidate should have good hands-on coding skills with Python and data science frameworks like TensorFlow/PyTorch.
- The candidate should have data analysis skills and representation of the data for deriving meaningful outcomes from high volumes of data.
- Exposure in the automotive domain is a plus. Experience in the MLOps is a plus.
- The candidate should have good analytical and storytelling skills.
Qualifications
Bachelors or Masters degree in Data Science Computer Science Engineering or related field.
3 years of experience in QA roles preferably with exposure to data science or machine learning projects.
Proficiency in Python SQL and relevant testing frameworks.
Experience with test automation and CI/CD pipelines is a plus.
Strong analytical skills and attention to detail.
Preferred Skills
Understanding of the metrics and quality measures of the data science models (ML DL RL and Gen AI)
Understanding of ethical AI and governance
Exposure to Agile software development processes
Familiarity with enterprise deployment standards and production environments.
Exposure to bug tracking and test management tools (e.g. Jira Azure DevOps).
Exposure to cloud platforms and edge deployments is beneficial.
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