Software Engineering Lead

4 weeks ago


Bengaluru, Karnataka, India Watson Search Partner Full time
About the Team

The Watson Search Partner team is responsible for ensuring that Data Scientists can effectively train and deploy classic machine learning models, large language models, and large image models at scale.

This is a rapidly evolving domain within Data Science, and the team has successfully enabled Data Scientists to go live with multiple use cases using in-house open-source fine-tuned models.

About the Role

The Software Architect will drive technology and good practices in engineering within their team.

Key responsibilities include actively participating in development, creating modules and systems that reflect best practices, scaling, performance, and quality, and setting up best practices to achieve these goals.

The Software Architect will also be responsible for experimenting with new and relevant technologies, driving adoption, and measuring impact.

Additionally, the Software Architect will implement long-term technology vision, ensure architecture alignment, and represent the company in internal and external forums.

Requirements

To be successful in this role, the Software Architect should have technical expertise, programming skills in either Python or Java, experience with REST APIs, SDKs, and containerized applications.

They should also be proficient in developing containerized applications, champion SDLC practices, and understand application development, infrastructure management, data engineering, and platform constructs.

Familiarity with machine learning, deep learning, and data preparation needs is also essential.

What You Will Do

As a Software Architect, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.

You will lead a team of technical professionals, provide guidance, mentorship, and support, and design and construct platform tools for deploying sophisticated machine learning models.

Key responsibilities include building platform solutions to drive greater productivity for Data Scientists, building tools to support adoption and quick productization of Data Science solutions, and building on recent advancements in Generative AI, LLMs.

You will also develop services on top of Computer Vision and Natural Language capabilities developed by Data Scientists and work on problems such as Data Version Controller, Experiment Tracking, Data Labeling, and Active Learning.

Lastly, you will explore and conduct POCs using open-source frameworks, AZURE, and GCP offerings on Data Science.



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