AI Engineer II
Honeywell
AI Engineer II
Job Description
AI Engineer II
Location: Atlanta, GA (Hybrid)
About Honeywell: Honeywell is a Fortune 100 company that invents and commercializes technologies that address some of the world’s toughest challenges in the areas of energy, safety, security, air and space travel. We are leaders in automation controls, aerospace, building technologies, and performance materials.
Job Overview
As an AI Engineer II at Honeywell, you will play a pivotal role in developing and implementing cutting-edge AI algorithms, models, and systems to solve complex business problems across our diverse portfolio. Reporting directly to our Senior Director of Software Architecture, you’ll collaborate with cross-functional teams including data scientists, software engineers, and domain experts to deliver scalable, efficient AI solutions that drive innovation and operational excellence. Working out of our state-of-the-art facility in Atlanta, GA on a hybrid schedule, you’ll contribute to high-impact projects in aerospace, industrial automation, and beyond.
Key Responsibilities
- Design, develop, and deploy advanced machine learning models, including deep learning architectures for computer vision, natural language processing, and predictive analytics.
- Optimize AI systems for production environments, ensuring high performance, scalability, and low latency in cloud and edge computing scenarios.
- Collaborate with cross-functional teams to integrate AI solutions into Honeywell’s software platforms and hardware systems.
- Conduct data analysis, feature engineering, and model evaluation to improve accuracy and reliability of AI-driven applications.
- Lead prototyping and experimentation of new AI technologies, providing technical leadership and mentorship to junior engineers.
- Ensure compliance with industry standards, data privacy regulations (e.g., GDPR, CCPA), and Honeywell’s quality assurance processes.
- Stay abreast of emerging AI trends and contribute to research initiatives that align with business objectives.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation in a Fortune 100 company. You’ll tackle real-world challenges that impact millions, from enhancing aviation safety to optimizing industrial processes. Enjoy hybrid flexibility, cutting-edge tools, and opportunities for growth in a collaborative culture that values creativity and impact. At Honeywell, your work will shape the future of technology and make a tangible difference in the world.
Summary
As an AI Engineer II here at Honeywell, you will develop and implement AI algorithms, models, and systems to solve complex business problems, collaborating with cross-functional teams to ensure scalability and efficiency. You will report directly to our Senior Director SW Architect, and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.
Locations
- 715 Peachtree Street, N.E., , Atlanta, GA, US 30308
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras)intermediate
- Expertise in machine learning algorithms (supervised/unsupervised learning, reinforcement learning)intermediate
- Experience with computer vision, NLP, or time-series forecastingintermediate
- Strong knowledge of data structures, algorithms, and software engineering principlesintermediate
- Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)intermediate
- Cloud computing and DevOps (CI/CD, Docker, Kubernetes)intermediate
- Statistical analysis and experimental designintermediate
- Problem-solving and analytical thinkingintermediate
- Excellent communication and teamwork skillsintermediate
- Agile methodologies and version control (Git)intermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, developing and deploying production-scale models (experience)
- Proven track record of building scalable AI systems using frameworks like TensorFlow, PyTorch, or scikit-learn (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes) (experience)
- Strong programming skills in Python, with familiarity in C++ or Java for performance-critical applications (experience)
- Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop) (experience)
Preferred Qualifications
- Master’s degree or PhD in AI, Machine Learning, or related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
- Experience in aerospace, industrial IoT, or safety-critical systems (experience)
Responsibilities
- Design and implement AI/ML algorithms to address complex business challenges in automation and aerospace domains
- Develop and optimize deep learning models for real-time applications, including edge AI deployments
- Lead end-to-end AI project lifecycles, from data ingestion and model training to deployment and monitoring
- Collaborate with software architects, product managers, and domain experts to define AI requirements and success metrics
- Perform model validation, A/B testing, and continuous improvement to ensure robust performance
- Mentor junior engineers and contribute to code reviews, best practices, and knowledge sharing
- Document technical solutions and present findings to stakeholders and leadership teams
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with generous company matching
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work schedule and generous PTO
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for AI Engineer II @ Honeywell.
Related Books and Jobs
AI Engineer II
Honeywell
AI Engineer II
Job Description
AI Engineer II
Location: Atlanta, GA (Hybrid)
About Honeywell: Honeywell is a Fortune 100 company that invents and commercializes technologies that address some of the world’s toughest challenges in the areas of energy, safety, security, air and space travel. We are leaders in automation controls, aerospace, building technologies, and performance materials.
Job Overview
As an AI Engineer II at Honeywell, you will play a pivotal role in developing and implementing cutting-edge AI algorithms, models, and systems to solve complex business problems across our diverse portfolio. Reporting directly to our Senior Director of Software Architecture, you’ll collaborate with cross-functional teams including data scientists, software engineers, and domain experts to deliver scalable, efficient AI solutions that drive innovation and operational excellence. Working out of our state-of-the-art facility in Atlanta, GA on a hybrid schedule, you’ll contribute to high-impact projects in aerospace, industrial automation, and beyond.
Key Responsibilities
- Design, develop, and deploy advanced machine learning models, including deep learning architectures for computer vision, natural language processing, and predictive analytics.
- Optimize AI systems for production environments, ensuring high performance, scalability, and low latency in cloud and edge computing scenarios.
- Collaborate with cross-functional teams to integrate AI solutions into Honeywell’s software platforms and hardware systems.
- Conduct data analysis, feature engineering, and model evaluation to improve accuracy and reliability of AI-driven applications.
- Lead prototyping and experimentation of new AI technologies, providing technical leadership and mentorship to junior engineers.
- Ensure compliance with industry standards, data privacy regulations (e.g., GDPR, CCPA), and Honeywell’s quality assurance processes.
- Stay abreast of emerging AI trends and contribute to research initiatives that align with business objectives.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation in a Fortune 100 company. You’ll tackle real-world challenges that impact millions, from enhancing aviation safety to optimizing industrial processes. Enjoy hybrid flexibility, cutting-edge tools, and opportunities for growth in a collaborative culture that values creativity and impact. At Honeywell, your work will shape the future of technology and make a tangible difference in the world.
Summary
As an AI Engineer II here at Honeywell, you will develop and implement AI algorithms, models, and systems to solve complex business problems, collaborating with cross-functional teams to ensure scalability and efficiency. You will report directly to our Senior Director SW Architect, and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.
Locations
- 715 Peachtree Street, N.E., , Atlanta, GA, US 30308
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras)intermediate
- Expertise in machine learning algorithms (supervised/unsupervised learning, reinforcement learning)intermediate
- Experience with computer vision, NLP, or time-series forecastingintermediate
- Strong knowledge of data structures, algorithms, and software engineering principlesintermediate
- Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)intermediate
- Cloud computing and DevOps (CI/CD, Docker, Kubernetes)intermediate
- Statistical analysis and experimental designintermediate
- Problem-solving and analytical thinkingintermediate
- Excellent communication and teamwork skillsintermediate
- Agile methodologies and version control (Git)intermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, developing and deploying production-scale models (experience)
- Proven track record of building scalable AI systems using frameworks like TensorFlow, PyTorch, or scikit-learn (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes) (experience)
- Strong programming skills in Python, with familiarity in C++ or Java for performance-critical applications (experience)
- Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop) (experience)
Preferred Qualifications
- Master’s degree or PhD in AI, Machine Learning, or related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
- Experience in aerospace, industrial IoT, or safety-critical systems (experience)
Responsibilities
- Design and implement AI/ML algorithms to address complex business challenges in automation and aerospace domains
- Develop and optimize deep learning models for real-time applications, including edge AI deployments
- Lead end-to-end AI project lifecycles, from data ingestion and model training to deployment and monitoring
- Collaborate with software architects, product managers, and domain experts to define AI requirements and success metrics
- Perform model validation, A/B testing, and continuous improvement to ensure robust performance
- Mentor junior engineers and contribute to code reviews, best practices, and knowledge sharing
- Document technical solutions and present findings to stakeholders and leadership teams
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with generous company matching
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work schedule and generous PTO
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for AI Engineer II @ Honeywell.
Related Books and Jobs