01Overview
Role Summary: Looking for one data scientist engineer with Solid 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 Have
- 1. Experience in timeseries forecasting, regression Model, Classification Model
- 2. Python , R, Data analysis
- 3. Large size data handling with Panda , Numpy and Matplot Lib
- 4. Version Control: Git or any other
- 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras
- 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis
- 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering
- Estimation
- Good to Have
- Experience 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 domain
Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week .
