- Machine learning Engineer who is passionate about analyzing data and create models to determine the insights.
- Ability to understand business problems, collaborate with data scientist, cross functional team members to understand the current business problems.
- Work closely with senior data scientist/Architect to understand the complete solution along with business needs.
Technical Skills Required :
- Deep Knowledge in Descriptive Statistics.
- Understanding of Regression, Classifier Model.
- Deep Knowledge of various algorithms like Logistic Regression, Decision Tree, Random Forest, Bagging, Boosting.
- Working experience on Deep Learning Neural Networks.
- Working experience on Computer Vision based algorithm like CNN.
- Knowledge on working with pre-trained model like REnet, AlexNet,Vgg16, UNET.
- Knowledge in Model Deployment in Production.
- Understanding of Basic Database object and working knowledge of Sql queries.
- REST API Development to productionize the model.
- Developing AI/ML based Chatbot would be a Plus.
Roles & Responsibilities :
- Understanding of the ML architecture.
- Work with data scientist to implement the architecture.
- Study and analyze the insights in the data.
- Analyze descriptive statistics output and interpret meaningful insights.
- Collaborate with cross functional team to understand the business.
- Research and implement appropriate ML algorithms.
- Develop machine learning applications according to requirements.
- Run machine learning tests and experiments.
- Train and retrain systems when necessary.
- Extend existing ML libraries and frameworks.
