Posted:3 days ago|
Platform:
On-site
Full Time
Enhance and develop analytics product offering in Contact center, Marketing, and customer experience analytics domain.
Execute POC/Pilot of analytics projects.
Solution Architect - ability to solution customer analytics solution with strong expertise that spans across customer lifecycle such as customer acquisition, digital marketing, journey analytics, speech/text analytics, AI/ML predictive models such as cross sell/ retention models and Workforce management analytics.
Embedding Customer Analytics solution to CXM (BPO) Operations
To drive the productivity for Operations by reducing cost and increasing customer satisfaction across various domains such as Contact center, collections, Back office, Marketing Operations, Campaign Operations etc.
Role involves working together with enterprise team -Service Line team, Analytics team, Enterprise sales team - responding to RFP and other qualified leads.
Role is to perform consulting assessments through POC, Pilot to demonstrate the value of customer analytics to enable large deals.
Requires knowledge of CC, Marketing technology, Operations, Analytics and Process.
Responsibilities
Design, develop, and implement AI architectures for AIML and Gen AI applications.
Collaborate with AI engineers and data scientists to integrate machine learning models into Gen AI applications.
Develop strategies and roadmaps for AI, focusing on the integration of Gen AI capabilities.
Keep abreast of the latest trends and technologies in AI and Gen AI and explore how they can be applied to the company%27s projects.
Work closely with different teams to understand their requirements and develop adaptable AI solutions.
Maintain, optimize, and ensure the scalability of existing AI systems and architectures, with a particular focus on Gen AI applications.
Provide technical leadership for AI and Gen AI-related issues.
Conduct research and tests to optimize the performance of Gen AI systems and architectures.
Document all AI and Gen AI systems and processes for future reference and troubleshooting.
Qualifications we seek in you!
Minimum Qualifications
Proven experience as an AI Architect, with specific experience in Gen AI applications.
Deep understanding of AI, machine learning algorithms, and Gen AI applications.
Proficient in programming languages like Python or Java.
Must have Machine learning, Deep learning, NLP, Computer Vision.
Experience with machine learning frameworks like TensorFlow or PyTorch.
Experience with deploying the solutions to cloud platforms like AWS, Google Cloud, or Azure.
An understanding of data structures, data modelling, and software architecture.
Preferred Qualifications/ Skills
Strong knowledge of big data platforms like Hadoop and Spark.
Excellent problem-solving skills and the ability to think strategically and analytically.
Strong leadership and communication skills to effectively collaborate with various teams.
Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
Relevant years of experience.
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