Data Scientist Engineer

About the job

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 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

Requirements

• AI/ML
• Data collection
• preprocessing
• estimation
• Architecture creation

Qualifications

• Bachelor's or master's in computer science
• Machine Learning
• Data Science

Preferred Technologies

• AI/ML
• Data collection
• preprocessing
• estimation
• Architecture creation