AI/ML Model Development: Utilize available models to design, train, and deploy machine learning models. Leverage Cloud / On premise / Hybrid environments platforms like Amazon SageMaker and Azure Machine Learning for end-to-end machine learning lifecycle management.
Data Architecture Design: Architect and manage robust scalable data infrastructures supporting AI/ML project requirements including data ingestion, storage, and processing workflows.
Data Processing: Conduct data cleaning, preprocessing, and analysis, preparing datasets for model training for effective data handling and insights generation.
Automation Services Integration: Automate data pipelines and integrate AI/ML models into production systems. Enhance business processes and decision-making capabilities through cloud-based AI solutions.
Performance Monitoring: Monitor the performance of AI models and the efficiency of data pipelines across cloud platforms, adjusting resources and configurations to ensure optimal operation.
Cross-Functional Collaboration: Collaborate with enterprise architects, data scientists, and business stakeholders to identify and exploit AI-driven automation opportunities on AWS, Azure.
Preferred Skills/Experience:
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
Understanding of machine learning techniques and algorithms
Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
Demonstrated project management skills
Effective interpersonal, verbal and written communication skills
Qualifications:
Bachelors degree in computer science, Information Technology, or a related field.
Certifications in relevant fields is preferred, but it is not mandatory.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time