Sr Advanced Software Engr

We are seeking a highly skilled Senior Advanced Software Engineer with strong expertise in Python and AI/ML technologies . The candidate will be responsible for designing, developing, and deploying scalable AI-driven applications and machine learning pipelines , contributing to Honeywell’s next-generation intelligent solutions

Core Technical Skills

Strong programming expertise in Python (3.x) with frameworks like Django/FastAPI.

Solid understanding of machine learning and deep learning frameworks (TensorFlow / PyTorch / Scikit-learn).

Hands-on experience in AI/ML model development and deployment .

Experience with microservices architecture and REST APIs .

Strong knowledge of cloud platforms (AWS, Azure, or GCP) .

Familiarity with containerization and orchestration (Docker, Kubernetes) .

Experience with CI/CD pipelines and DevOps practices .

✅ AI/ML & Data Skills

Knowledge of data engineering pipelines and feature engineering

Experience with large datasets, distributed training, and scalable inference systems

Exposure to GenAI, LLMs, and prompt engineering (preferred)

Familiarity with MLOps tools and workflows

✅ Architecture & Backend

Strong understanding of distributed systems and scalable architecture

Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, etc.)

Experience & Education

9–12 years of software engineering experience (Python + backend systems).

Bachelor’s or Master’s degree in Computer Science / AI / ML / Engineering .

Proven experience in building and deploying AI/ML solutions in production .

Architect and develop end-to-end AI/ML pipelines including data ingestion, preprocessing, training, evaluation, and deployment.

Design and build scalable, cloud-native backend services using Python (Django, FastAPI, etc.).

Develop and deploy machine learning models (NLP, computer vision, predictive analytics, or GenAI use cases).

Implement microservices-based architecture and define APIs for AI-enabled products.

Drive MLOps practices including CI/CD pipelines, model versioning, monitoring, and retraining.

Collaborate with data scientists, product managers, and DevOps teams to deliver end-to-end solutions.

Optimize model performance, inference latency, and scalability for production systems.

Lead system design discussions and ensure best practices in coding, testing, and documentation.

Mentor junior engineers and contribute to technical leadership within the team.

Stay updated with emerging technologies such as Generative AI, LLMs, and Agentic AI frameworks .

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.