Ai/Ml Architect - Product

Responsibilities:

• Lead architect and technical leader of the AI Analytics team
• Conceptualize and design AI-based solutions that optimize the campaign success and delivery algorithms
• Coordinate requirements, roadmaps, and delivery schedules with product lines
• Collaborate with internal and external suppliers on solution design and technology selection
• Act as AI technology ambassador, continuously improving and innovating the AI value-add in our product portfolio
• Keep pace with AI/ML technology advancements in adjacent areas, and academia; guide your team and peers; run feasibility studies and PoCs; support business analyses

Required Skills: 

• Experience in designing, developing, deploying, and operationalizing AI/ML solutions.
• Experience in GenAI and Conversational AI – LLMs, frameworks like Lang chain, Llama Index etc, Vector DBs like Pinecone, Elasticsearch, etc.
• Deep understanding and experience with popular Deep Learning and Machine Learning techniques and algorithms such as LLMs, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, Transformers, Time Series Forecasting, Segmentation, etc.
• Experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution Architecture.
• Experience with ML Pipelines both On-Prem and Cloud (like SageMaker)
• Expert in Python as well as open-source frameworks such as PyTorch, TensorFlow, NumPy, etc.
• Experience in designing cloud-native solutions using AI and other services from Azure, GCP, AWS, etc.
• Ability to lead Data Engineers and ML engineers to provide guidance on technical architecture and best practices.