Software Development Engineer - I

• As a software engineer, you will be responsible for building

machine learning-based solutions to problems of societal
importance. You will participate in problem definitions and the
design and development of solutions to these problems.

• In order to apply machine learning and related technologies

for social good, you will need to understand user challenges and
their context and design and build web and mobile solutions
leveraging state-of-the-art front-end and back-end technology that
will be deployed in the field settings. You will also create
well-documented libraries, APIs, and SDKs that partners and
developers can leverage to solve these user problems.

• In addition, the candidate will be responsible for engineering

secure infrastructure and automation pipelines to host, curate,
and transform data, train models, and deploy solutions. You will
be expected to design and put in place security and software
engineering best practices, automation and testing pipelines, and
develop and review architecture and well-documented code to ensure
maintainable, debuggable, future-proof solutions.

• At Wadhwani AI, excellence as an individual contributor goes

hand-in-hand with good teamwork and collaboration. You will work
in cross-functional teams spanning research, engineering, product
and program management, and designers. You will also be expected
to interact with external partners of Wadhwani AI when required,
and to make periodic visits to the communities from where
challenges are derived and where the solutions will be deployed.

Requirements

• Candidates should care about using their technical skills to

solve large societally important problems.

• The candidate should have broad exposure optimizing and

debugging software solutions for correctness and performance
issues, creating APIs for partners and developers and managing and
automating on-premise and cloud infrastructure.

• Candidate should have strong foundations in data structures,

algorithms and computer systems and good understanding of the
software development and deployment lifecycle including code
versioning, build and test automation frameworks.

• Candidates should be comfortable working with cross-functional