This role is responsible for leveraging expertise to design, develop, and implement cutting-edge Machine Learning and Data Science models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights.
Responsibilities
Architects, develops and programs integrated solutions, to derive insights in the solutions analytics space.
Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.
Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.
Participates in cutting-edge research in artificial intelligence and machine learning applications.
Stays up-to-date with the latest advancements in machine learning and related technologies.
Education & Experience Recommended
Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, data visualization or a related field.
Ideally should have some amount of past experience on doing analytics on digital products ex: click stream analytics, digital analytics
Knowledge & Skills
Agile Methodology
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Automation
Big Data
Computer Science
Data Science
Deep Learning
Machine Learning
Natural Language Processing
Python (Programming Language)
PyTorch (Machine Learning Library)
Scikit-learn (Machine Learning Library)
Software Engineering
TensorFlow
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
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