Job Title-Senior Software Engineer (AI Engineering)
Posting Title-Senior Software Engineer (Full Stack - AI & Data Engineering)
Job Code/Job Profile/Job Level-172
Preferred Locations-
India (Pune)
Introduction
The future is being built today and Johnson Controls is making that future more productive, more secure and more sustainable. We are harnessing the power of cloud, AI/ML and Data analytics, the Internet of Things (IoT), and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people’s lives and the world better.
As the AI landscape expands to GenAI, we must continuously evolve and pivot to capitalize on these advancements and bring them through the maturity cycle to benefit our teams and our customers.
What you will do
The Johnson Controls Data Strategy & AI’s mission is to infuse AI capabilities into products using a collaborative approach working alongside multiple business units. One of the charters of the hub is to create end-to end enablers to streamline AI/ML operations starting with Data supply strategy to Data discovery to Model training and development to deployment of AI services in the Cloud as well as at the Edge.
The AI Hub team is looking to accelerate the creation of tools, services and workflows to aid in the quick and widespread deployment of AI Services on a global scale. We are looking for a hands-on Senior Software Engineer with industry experience to contribute to foundational AI/ML engineering with repeatability in mind. The Senior Engineer will work with data scientists, platform/data architects and domain experts from teams across JCI and build enablers for help in productizing AI/ML models.
AI Engineering: Use sound and widely accepted software engineering principles to deliver high-quality software that forms the foundation of our end-to-end AI/ML solutions that make the buildings smarter.
Translating requirements: Translate AI/ML customer features to a set of AI Engineering requirements and deliver them in high-quality, well-thought-out, cohesive responses.
Generative AI : Use GenAI frameworks in designing, developing, and implementing LLMOps for cutting-edge generative artificial intelligence models considering cost, latency, multi-cloud support.
How you will do it
- Be part of a highly performant technical team consisting of backend, MLOps, LLMOps, DevOps engineers and architects to bring workflows to life that aid in the development and widespread deployment of AI services in the cloud and at the edge
- Work with Product and Data Science teams, understand and translate requirements to well-designed modular components accounting for the variability in data sources and deployment targets
- Help evaluate vendors, open source and proprietary technologies and present recommendations to onboard potential partners, automate machine learning workflows, model training and versioned experimentation, digital feedback and monitoring
What we look for
Required
- BS in Computer Science/Electrical or Computer Engineering, or has a degree and demonstrated technical abilities in similar areas
- 5+ years of experience as a Software Engineer in any of the following fields: Cloud Services, IoT
- 2 + years of experience in UI, Angular 16+, JavaScript, HTML, CSS
- 3+ years of programming and object-oriented design experience in any of the modern languages such as Python, Nodejs
- 2 + years of experience with TDD (Test Driven Development) methodology, ensuring building high quality software at pace
- Experience with building backend services on AWS, Azure or GCP
- API-first design experience accounting for security, authentication/authorization, logging, and usage patterns
- Experience working with message brokers, caches, queues, pub/sub concepts
- Container experience using technologies such as Kubernetes, Docker, AKS
- Knowledgeable in the SCRUM/Agile development methodology
- Strong spoken and written communication skills
Preferred Qualifications
- MS in Computer Science/Electrical or Computer Engineering
- 5+ years of experience as a Software Engineer in any of the following fields: Finance, Cloud Services, IoT
- 1+ years of experience working alongside Data Scientists to productize AI/ML Models
- Experience working on developing LLMops solution for generative AI by using standard frameworks like LangChain, LlamaIndex etc.
- Experience working on conversational Agents using Azure AI Services or similar services for any cloud provider
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