We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

Experience: 13+ Years
Hands-on years of professional experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
Strong expertise in client interaction and the ability to understand and address client needs effectively.
Advanced knowledge of cloud architecture, particularly on Azure.
Proficiency in machine learning on Azure, including the use of Azure ML services.
Expertise in NLP concepts and techniques, such as tokenization, word embeddings, sequence modeling, attention mechanisms, and transfer learning.
Strong programming skills in Python and proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX, as well as machine learning libraries like scikit-learn.
Practical experience with Generative AI frameworks, including GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG).
Strong understanding of MLOps principles and tools, with experience in implementing CI/CD pipelines, model monitoring, and automated deployment in production environments.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
Extensive experience with computer vision algorithms and techniques, and familiarity with frameworks such as OpenCV, TensorFlow, or PyTorch for image processing and analysis.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.