Location
Hyderabad | India
Job description
This is a full-time hybrid role for an ML Engineer located in Hyderabad, with flexibility for remote work. The ML Engineer will be responsible for day-to-day tasks related to pattern recognition, computer science and neural networks, and statistical and algorithmic modeling in the development of predictive analytics and machine learning models to support underwriting decisions and business operations. The ML Engineer will also collaborate with cross-functional teams to develop, test, and deploy models.
Qualifications
- Strong skills in pattern recognition, computer science, and neural networks
- Strong statistical and algorithmic modeling skills
- Experience with predictive analytics and machine learning
- Bachelor's or master's degree in Computer Science or a related field
- Experience with one or more programming languages: Python, Pyspark,SQL
- Experience with machine learning libraries such as MLops
- Experience with big data technologies such as Azure Data bricks,Azure Data lakes
- Excellent problem-solving skills and ability to work in a team environment
- Experience in the insurance industry is a plus
Requirements
This is a full-time hybrid role for an ML Engineer located in Hyderabad, with flexibility for remote work. The ML Engineer will be responsible for day-to-day tasks related to pattern recognition, computer science and neural networks, and statistical and algorithmic modeling in the development of predictive analytics and machine learning models to support underwriting decisions and business operations. The ML Engineer will also collaborate with cross-functional teams to develop, test, and deploy models.
Qualifications
- Strong skills in pattern recognition, computer science, and neural networks
- Strong statistical and algorithmic modeling skills
- Experience with predictive analytics and machine learning
- Bachelor's or master's degree in Computer Science or a related field
- Experience with one or more programming languages: Python, Pyspark,SQL
- Experience with machine learning libraries such as MLops
- Experience with big data technologies such as Azure Data bricks,Azure Data lakes
- Excellent problem-solving skills and ability to work in a team environment
- Experience in the insurance industry is a plus
Job tags
Salary
