Key Responsibilities: 

1. Developing of data ingestion & data preprocessing pipelines for transforming data presented for legal requirements to extract key and actionable insights.  
2. Data cleaning for supplying accurate, consistent & relevant content to ML models. 
3. Exploring and experimenting with different ML models and architectures that can be used with data from the legal industry in a safe and compliant manner. 
4. Developing and deploying ML models that can function in production environments for the use-cases required by the company. 
5. Analyzing key metrics for model performance and devising methods to improve efficiencies of the models. 
6. Document the steps involved in data preprocessing, model development & optimizations undertaken. 
7. Explore techniques for feature extraction, transformation & selection to improve model performance. 
8. Understanding of software development related terminologies to collaborate with the existing team of software engineers within the company. 
9. Devise methods of integration of the ML models within the company’s already developed software solutions and employee workflows.