Role Summary:Looking for one data scientist engineer with Strong experience in AI/ML Data collection preprocessing estimation Architecture creation
- Exp- 6 to 10 Years
- Base Location: Noida but flexible to travel coming to office is mandate twice in a week
- 6 Months Contract Extendable.
If Interested can share your resume at
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-Bachelors 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