AI Architect (MSFT Azure, Wealth Management)

Job Specifications

Role: AI Architect
Location: London, UK (2-3days/week On-Site)
Job Type: Contract

Responsibilities:
Lead development of and provide hands-on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers.
Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems
Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
Contribute to open-source developer and enterprise resources.
Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

Technical Skills – Must have:
AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions.
A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
Comfortable working with Python and Jupyter Notebooks
Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Technical Skills – Good to have:
Expertise in any one framework (TensorFlow, Pytorch, Keras)
Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.)
Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML
Expertise in optimizing AI solutions for runtime cost.
Expertise in conversational system architecture
Extensive knowledge on API’s & Integrations, Patterns.
Extensive knowledge of big data technologies
Knowledge on Statistical Methods

About the Company

We provide Software Development, Maintenance and Other Related IT Services, across spectrum, depending on individual client’s needs and dependability on us. Being a young and vibrant software solution company, we believe in harnessing the talent and experience of each member of our team to provide a unique flavor to our offerings within practical considerations and as per need and flexibility as expressed by our clients. We believe in working as a true partner and demonstrate transparency in all our dealings and conduct wi... Know more

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