Solution Architect - AI & ML - Consumer Business Group
Role: Solution ArchitectCompany: Tata Consultancy Services
Job description
Role: Solution Architect - Artificial Intelligence & Machine Learning - Consumer Business Group Location: San Francisco, CA (other US Locations can be considered) Responsibilities • Minimum of 8 years of professional experience • Experience with working on projects in the Consumer Business Industry and deep understanding of this industry • Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), computer vision, and related technologies. • Familiarity with major cloud platforms (AWS, Azure, GCP) and their AI services. • Proficiency in programming languages like Python, Java, and experience with software development methodologies. • Ability to analyze large datasets, extract insights, and prepare data for AI modeling. • Understanding of business needs and ability to translate them into impactful AI solutions. Salary Range: $172,380 - $273,585 a year
Requirements
• Minimum of 8 years of professional experience
• Experience with working on projects in the Consumer Business Industry and deep understanding of this industry
• Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), computer vision, and related technologies
• Proficiency in programming languages like Python, Java, and experience with software development methodologies
• Ability to analyze large datasets, extract insights, and prepare data for AI modeling
• Understanding of business needs and ability to translate them into impactful AI solutions
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Job Type
Fulltime role
Skills required
Python, Java
Location
San Francisco, California
Salary
No salary information was found.
Date Posted
April 30, 2025
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Tata Consultancy Services
Tata Consultancy Services is seeking a Solution Architect specializing in AI & ML for their Consumer Business Group in San Francisco. The role requires extensive experience in machine learning and a deep understanding of the consumer business industry.
