Primary Responsibilities
Good applied statistical skills including knowledge of statistical tests distributions regression maximum likelihood estimators etc.
Extensive experience in implementing AI based solutions around Predictive Maintenance Vision based Quality/Safety systems Gen AI NLP Identity Matching etc.
Strong knowledge of machine learning methods like Regression Time Series SVM Clustering Resampling and Decision Forests.
Expertise in data structures distributed computing manipulating and analysing complex highvolume data from variety of internal and external sources
Strong experience in designing data storage (relational vector data lake) and data architecture guidelines.
Strong working experience in SQL NoSQL Python PyTorch Tenser flow Keras and deep learning frameworks.
Understand and translate data analytic requirements and functional needs into technical requirements.
Knowledge in latest cloud tools such as ADF/Glue/Dataflow Azure AI Databrics Open AI
Critical thinker and problemsolving skills.
Great interpersonal and communication skills.
Additional Responsibilities
Ensure alignment with data strategy and standards of data processing
Collaborate with business and IT stakeholders to understand and fulfil the AI needs of the client.
Create architectural approaches for AI software and hardware integration.
Monitor AI industry trends and maintain stateoftheart industry knowledge.
Implement best practices for AI testing deployment and maintenance.
Should be able to travel abroad based on requirements
Summary: Data Scientist having strong experience in Designing Data Models Statistics & Machine
Learning Spark SQL Databricks Azure Synopsys Performance Optimization data structures
distributed computing manipulating and analysing complex highvolume data from variety of
internal and external sources
machine learning,data structures,computing,azure,skills,sql,learning,maintenance,structures,aiml,python,data lakes