Job Description

Role Overview:

We are looking for a dynamic and experienced Full Stack .NET Developer to join our engineering team. This role demands strong technical expertise across the stack--C#, React.js, Python, PostgreSQL--and a deep understanding of microservice architecture and RESTful API design. The ideal candidate will also bring hands-on experience in AI/ML, Generative AI, and containerization technologies, with a passion for research and innovation.

Job Title: Full Stack .NET Developer - AI/ML & GenAI Focus

Location: Bangalore, KA

Job Type: Full-Time

Experience Level: Senior (5-8 years)

Key Responsibilities:

Design, develop, and maintain full-stack applications using .NET (C#), React.js, and Python. Architect and implement microservices-based solutions with PostgreSQL as the backend. Build and consume RESTful APIs for internal and external integrations. Apply AI/ML and GenAI concepts to enhance application intelligence and automation. Research and implement machine learning algorithms and tools aligned with business goals. Manage and direct R&D processes to support the organization's AI strategy. Develop machine learning applications tailored to project requirements. Perform ML tests and statistical analysis to fine-tune systems. Select appropriate datasets and data representation methods. Extend and optimize existing ML libraries and frameworks. Train and retrain ML systems as needed. Collaborate with cross-functional teams to define, design, and ship new features. Use GitHub Copilot to accelerate development and improve code quality. Participate in code reviews, testing, and deployment processes. Ensure performance, scalability, and security of applications.

Required Skills:

Proficiency in

C#/.NET Core

,

React.js

, and

Python

. Experience with

PostgreSQL

and relational database design. Strong understanding of

Microservice Architecture

and

RESTful API

development. Hands-on experience with

Docker

and

Kubernetes

. Familiarity with

GitHub Copilot

and AI-assisted coding tools. Experience with

Keras

,

PyTorch

, and other ML frameworks. Exposure to

AI/ML

and

Generative AI

concepts. Ability to conduct ML research and implement algorithms. Skilled in statistical analysis and model fine-tuning. Knowledge of data selection and representation techniques. Experience in extending ML libraries and retraining models. Solid grasp of software engineering best practices and agile methodologies.

Preferred Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field. Experience with cloud platforms (Azure, AWS, GCP). Contributions to open-source projects or technical blogs.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.