Data Scientist Engineer

Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation

Responsibility:

1. Model Development: Design and implement ML models to tackle complex business challenges.
2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.
4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
5. Deployment: Deploy ML models in production, monitor performance for reliability.
6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
8. 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