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- Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, customer modeling and retention).
- Collaborate with crossfunctional teams to identify new opportunities for applying ML.
- Lead the design, development, and deployment of ML models for core business problems.
- Automate ETL pipelines for efficient data processing.
- Prototype, evaluate, deploy and maintain new models in production
- Design and execute A/B tests to measure the impact of your solutions
- Discover new ways to analyze and interpret the data
- Communicate progress and interpretation of experimental results to technical and business stakeholders
- Lead the determination of next steps for each project.
Lead Machine Learning Engineer/Scientist - Anywhere in India/Multiple Locations/Bangalore - Arting Digital
Description
This is a remote positionTitle:
LEAD - ML ENGINEER / ML SCIENTIST
Experience: 7-12 yrs
Work of Mode:
Remote
Shift Timing : 2 PM - 11 PM (UK Shift)
Primary Skills:
Python, SQL, Machine Learning, data structures and algorithms (Recommender systems), Statistics, A/B testing design
Qualification:
PhD or Masters in Computer Science, Engineering, Statistics, or related field
Good to Have:
Big data technologies (Snowflake/Spark), ETL Pipeline automation
Roles & responsibilities: