Capgemini
Machine Learning | 5 to 11 Years | and
₹ Check with seller / month
✓ Actively Hiring
📍 Hyderabad
💼 Full Time
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Job at a Glance
- Category
- IT Engineer & Developer
- Location
- Hyderabad, Andhra Pradesh, India
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- Capgemini
- Status
- Open & Active
Job Description
Job Description Identify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decision-making.Design end-to-end AI architectures that align with business objectives, considering data integration, model selection, and system scalability.Lead discussions on AI solution design, providing technical leadership and insights to drive decision-making.Lead the evaluation and selection of AI technologies, frameworks, and tools to support solution development.Experience with business process analysis, process automation, and operational efficiency improvement is an advantageExcellent communication skills and the ability to work collaboratively with cross-functional teams.Stay at the forefront of AI advancements, researching and evaluating emerging technologies to ensure our solutions remain cutting-edge and competitive.Document architectural decisions, technical documentation that aids in solution understandingIdentify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decision-making.Design end-to-end AI architectures that align with business objectives, considering data integration, model selection, and system scalability.QualificationAny Technical Graduate Primary SkillsOverall 12+ years of experience in leveraging artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations.Minimum of 5 years of experience in designing and architecting AI solutions, with a strong focus on end-to-end automation Secondary SkillsProven expertise in machine learning techniques, deep learning frameworks, image processing and AI-related technologies including Generative AI Experience with one of the cloud platforms (e.g., AWS, Azure, Google Cloud)
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