Hello,
Hope all is well,
Kindly find the Job
opening below, let me know if you have any suitable profiles.
Software Engineer - AI/ML/GenAI
Position Summary
This job
is responsible for developing and delivering complex requirements to accomplish
business goals. Key responsibilities of the job include ensuring that software
is developed to meet functional, non-functional and compliance requirements,
and solutions are well designed with maintainability/ease of integration and
testing built-in from the outset. Job expectations include a strong knowledge
of development and testing practices common to the industry and design and
architectural patterns.
Responsibilities:
- Codes solutions and unit test to
deliver a requirement/story per the defined acceptance criteria and
compliance requirements
- Designs, develops, and modifies
architecture components, application interfaces, and solution enablers
while ensuring principal architecture integrity is maintained
- Mentors other software engineers
and coach team on Continuous Integration and Continuous Development
(CI-CD) practices and automating tool stack
- Executes story refinement,
definition of requirements, and estimating work necessary to realize a
story through the delivery lifecycle
- Performs spike/proof of concept as
necessary to mitigate risk or implement new ideas
- Automates manual release activities
- Designs, develops, and maintains
automated test suites (integration, regression, performance)
Required qualifications:
- 5+ years of software development
experience on large, complex systems required .
- Experience in OOP in
Python/Scala/Java programming experience with expert level development
skills
- Hands on experience and knowledge
generative AI RAG process for various use cases, including chunking,
embedding, retrieval, reranking and summarization.
- Hands-on experience in application
development in one or more areas MongoDB, Redis, Angular/React Frameworks,
Containerization, Building API based application leveraging FAST API
services, JWT Integration, API Gateway
- Develop efficient utilities,
automation frameworks, data science platforms that can be utilized across
multiple Data Science teams for AI/ML and GenAI work.
- Experience with AI/ML/GenAI
Lifecycle Management and Development and its Ecosystem. Hands on
experience building frameworks using MLOps, Fine – Tuning techniques,
Inference Frameworks
- Building API based application
leveraging FAST API services, JWT Integration, API Gateway
- Working in large sized teams that
collaboratively develop on a shared multi-repo codebase using IDEs (e.g.
VS Code rather than Jupyter Notebooks), Continuous Integration (CI),
Continuous Deployment (CD) and Continuous Testing
- Hands-on DevOps experience with one
or more of the following enterprise development tools: Version Control
(GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube
and pytest Unit Testing), Artifact Management (Artifactory) and Deployment
(Ansible)
Desired Qualifications:
- Experience developing Gen AI
training and RAG platform with open-source model, inferencing &
servicing capabilities, MCP modules etc..
Skills:
- Application Development
- Automation
- Influence
- Solution Design
- Technical Strategy Development
- Architecture
- Business Acumen
- DevOps Practices
- Result Orientation
- Solution Delivery Process
- Analytical Thinking
- Collaboration
- Data Management
- Risk Management
Test
Engineering
Thanks!!!