Description

Who are we looking for?

We are looking for a technically savvy and business-minded AI solutions architect to deeply.

partner with our most strategic and high-impact platform customers, guiding them

through application ideation, development, delivery, and scale to accelerate and

maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting-edge technologies, and make a significant impact on our company's success.

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

·

OTHER SKILLS WE'D APPRECIATE

1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc.

EDUCATION QUALIFICATION

· Graduate in Engineering OR master’s in computer applications.

Process Skills:

· General SDLC processes

· Understanding of utilizing Agile and Scrum software development methodologies

· Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills :

· Good Attitude and Quick learner.

· Well-developed design, analytical & problem-solving skills

· Strong oral and written communication skills

· Excellent team player, able to work with virtual teams.

· Self-motivated and capable of working independently with minimal management supervision.

Certification:

· Having Machine Learning or AI certifications would be an added advantage

Key Skills

Education

Any Graduate