Role Summary : Looking for one data scientist engineer with Strong experience in AI / ML, Data collection preprocessing, estimation, Architecture creation
Responsibility :
- Model Development : Design and implement ML models to tackle complex business challenges.
- Data Preprocessing : Clean, preprocess, and analyze large datasets for meaningful insights and model features.
- Model Training : Train and fine-tune ML models using various techniques including deep learning and ensemble methods.
- Evaluation and Optimization : Assess model performance, optimize for accuracy, efficiency, and scalability.
- Deployment : Deploy ML models in production, monitor performance for reliability.
- Collaboration : Work with data scientists, engineers, and stakeholders to integrate ML solutions.
- Research : Stay updated on ML / AI advancements, contribute to internal knowledge.
- Documentation : Maintain comprehensive documentation for all ML models and processes.
Qualification - Bachelor's or masters in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years.
Desirable Skills :
Must Have1. Experience in timeseries forecasting, regression Model, Classification Model2. Python , R, Data analysis3. Large size data handling with Panda , Numpy and Matplot Lib4. Version Control : Git or any other5. ML Framework : Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras6. Good knowledge on Cloud platform and ( AWS / AZure / GCP), Docker kubernetis7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineeringEstimationGood to HaveExperience with Big Data and analytics using technologies like Hadoop, Spark, etc.Additional experience or knowledge in AI / ML technologies beyond the mentioned frameworks.BFSI and banking domainBase Location : Noida, but flexible to travel, coming to office is mandate twice in a week