Freelance Data Scientist & AI Engineer | DS Agency

• 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.

• 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

Expertia AI Technologies