The Role
Design, develop, and deploy scalable AI/ML solutions and cloud-native backend services. Build end-to-end ML pipelines, implement microservices and MLOps practices, optimize model performance and inference latency, lead system design, mentor engineers, and collaborate with cross-functional teams on GenAI/LLM initiatives.
Summary Generated by Built In
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
Responsibilities- 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.
Core Technical Skills
About UsHoneywell 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.- 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.
- 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
- Strong understanding of distributed systems and scalable architecture
- Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, etc.)
- 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.
Skills Required
- Strong programming expertise in Python (3.x) with frameworks like Django or FastAPI
- Solid understanding of machine learning and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience in AI/ML model development and deployment in production
- 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
- Knowledge of data engineering pipelines and feature engineering
- Experience with large datasets, distributed training, and scalable inference systems
- Exposure to Generative AI, LLMs, and prompt engineering
- Strong understanding of distributed systems and scalable architecture
- Experience with SQL/NoSQL databases (PostgreSQL, MongoDB)
- 9-12 years of software engineering experience (Python + backend systems)
- Bachelor's or Master's degree in Computer Science, AI, ML, or Engineering
- Proven experience building and deploying AI/ML solutions in production
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
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The Company
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
