Job
Description
About the job: The Red Hat Experience Engineering (XE) team is looking for a skilled and well-rounded Senior Software Engineer with excellent programming skills, DevOps skills, and the ability to partner with internal stakeholders to join our team in Pune. On this team, you will help build, deploy, maintain, and monitor AI and ML application services. This includes managing AI/ML models and assisting data scientists in training new models. To be successful in this role, you should have an established set of foundational skills and the ability to learn new skills quickly as we modernize platforms and tooling. You must also be able to work with minimal supervision in a fast-paced and ambiguous environment. You will be accountable for implementing, deploying, and maintaining services (e.g., microservice APIs) in Red Hat OpenShift. Our ideal candidate has an interest and experience in AI/ML solutions, has experience collaborating across multi-disciplinary teams, and has demonstrated experience partnering with business leaders to deliver impactful, innovative solutions. What will you do? Work closely with team members and stakeholders to turn business problems into analytical projects, translated requirements, and solutions Design, develop, test, debug, deploy and maintain application microservices for AI initiatives Work cross-functionally with teams on API development to support AI based applications Work with data scientists to deploy, train and test AI models Manage deployment of models. Monitor critical back-end services running in the cloud and in OpenShift clusters. Recommend ways to improve system reliability, efficiency, and quality Help create, maintain, and implement tools, libraries, and systems to increase the efficiency and scalability of the team Develop and maintain proper controls and compliance requirements. Develop and maintain documentation. Work with data engineers to assist in model creation data sets and routine model retraining. Consult and assist consumers of XE AI service APIs What will you bring? Proficient Python programming skills with experience creating web-based API endpoints is required. Experience building RESTful APIs or gRPC services for ML model deployment. Ability to critically analyze requirements and designs, leveraging hypothesis testing to validate decisions. Ability to problem solve and to test and implement new technologies and tools Exceptional analytical skills to detect the source and resolution of highly complex problems Experience with API frameworks such as FastAPI is preferred OpenShift application development and administration is required Proficiency in TensorFlow, PyTorch, Scikit-learn, XGBoost or Hugging Face Transformers. Experience with transformer models, BERT, Granite, GPT, T5, or Llama for text processing and generative AI is a plus. Experience with Linux system administration, shell scripting, and virtualization technology (containers) is required Mastery of git (version control) and experience with versioning, merge request, review, etc. processes and techniques is required Experience deploying applications using PaaS technologies (e.g,. OpenShift, Airflow) is a plus Well-versed and a desire to stay on top of the current industry landscape of computer software, programming languages, and technology Bachelor's degree in a related field (e.g., Computer Science or Software Engineering) with 5+ years of relevant working experience.
