AI Engineer II
Honeywell
AI Engineer II
Job Description
AI Engineer II
Location: Atlanta, GA (Hybrid)
Honeywell Overview: Honeywell is a Fortune 100 company that invents and manufactures technologies to address some of the world’s toughest challenges in energy, safety, security, air and space travel. We are committed to fostering innovation and empowering our teams to drive real-world impact.
Role 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 aerospace, building technologies, and performance materials sectors. Reporting directly to our Engineering Manager, you’ll collaborate with cross-functional teams including data scientists, software engineers, and domain experts to ensure solutions are scalable, efficient, and aligned with business objectives. Working from our state-of-the-art facility in Atlanta, GA on a hybrid schedule, you’ll contribute to transformative projects that enhance operational efficiency and innovation.
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, focusing on scalability, low-latency inference, and integration with cloud platforms like AWS or Azure.
- Collaborate with cross-functional teams to gather requirements, prototype solutions, and iterate based on real-world performance metrics.
- Conduct data preprocessing, feature engineering, and model evaluation using industry-standard metrics such as accuracy, precision, recall, and F1-score.
- Mentor junior engineers and contribute to code reviews, ensuring best practices in AI development and MLOps pipelines.
- Stay abreast of emerging AI trends and technologies, recommending and implementing innovations to maintain Honeywell’s competitive edge.
- Ensure ethical AI practices, including bias detection, explainability, and compliance with regulatory standards.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation in a Fortune 100 company. You’ll work on high-impact projects that influence global industries, with opportunities for career growth, cutting-edge tools, and collaboration with top talent. Enjoy a hybrid work model in vibrant Atlanta, GA, comprehensive benefits, and the chance to make a tangible difference in sustainable technologies and intelligent systems.
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 Engineering Manager 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
- Python, Java, or C++ programmingintermediate
- TensorFlow, PyTorch, Keras, or Hugging Face Transformersintermediate
- Data processing with Pandas, NumPy, and Daskintermediate
- Cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform)intermediate
- Version control (Git) and CI/CD tools (Jenkins, GitHub Actions)intermediate
- SQL and big data technologies (Spark, Hadoop)intermediate
- Strong problem-solving and analytical thinkingintermediate
- Excellent communication and teamwork skillsintermediate
- Familiarity with ethical AI principles and bias mitigation techniquesintermediate
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-grade models (experience)
- Proven track record of building scalable AI solutions for real-world business applications (experience)
- Experience with MLOps practices, including model versioning, CI/CD pipelines, and containerization (Docker/Kubernetes) (experience)
- Strong programming proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn (experience)
- Ability to work collaboratively in cross-functional teams and communicate technical concepts to non-technical stakeholders (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, manufacturing, or IoT domains with AI applications (experience)
Responsibilities
- Design and develop AI/ML models to address complex problems in predictive maintenance, anomaly detection, and optimization
- Implement end-to-end AI pipelines from data ingestion to model deployment and monitoring
- Lead experimentation and A/B testing to validate model performance and business impact
- Collaborate with product managers and engineers to integrate AI solutions into Honeywell’s software platforms
- Perform model tuning, hyperparameter optimization, and scalability assessments for edge and cloud deployments
- Document technical approaches, create reusable code libraries, and contribute to internal AI knowledge base
- Analyze large datasets using SQL, Spark, or similar tools to derive actionable insights
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)
Honeywell Overview: Honeywell is a Fortune 100 company that invents and manufactures technologies to address some of the world’s toughest challenges in energy, safety, security, air and space travel. We are committed to fostering innovation and empowering our teams to drive real-world impact.
Role 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 aerospace, building technologies, and performance materials sectors. Reporting directly to our Engineering Manager, you’ll collaborate with cross-functional teams including data scientists, software engineers, and domain experts to ensure solutions are scalable, efficient, and aligned with business objectives. Working from our state-of-the-art facility in Atlanta, GA on a hybrid schedule, you’ll contribute to transformative projects that enhance operational efficiency and innovation.
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, focusing on scalability, low-latency inference, and integration with cloud platforms like AWS or Azure.
- Collaborate with cross-functional teams to gather requirements, prototype solutions, and iterate based on real-world performance metrics.
- Conduct data preprocessing, feature engineering, and model evaluation using industry-standard metrics such as accuracy, precision, recall, and F1-score.
- Mentor junior engineers and contribute to code reviews, ensuring best practices in AI development and MLOps pipelines.
- Stay abreast of emerging AI trends and technologies, recommending and implementing innovations to maintain Honeywell’s competitive edge.
- Ensure ethical AI practices, including bias detection, explainability, and compliance with regulatory standards.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation in a Fortune 100 company. You’ll work on high-impact projects that influence global industries, with opportunities for career growth, cutting-edge tools, and collaboration with top talent. Enjoy a hybrid work model in vibrant Atlanta, GA, comprehensive benefits, and the chance to make a tangible difference in sustainable technologies and intelligent systems.
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 Engineering Manager 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
- Python, Java, or C++ programmingintermediate
- TensorFlow, PyTorch, Keras, or Hugging Face Transformersintermediate
- Data processing with Pandas, NumPy, and Daskintermediate
- Cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform)intermediate
- Version control (Git) and CI/CD tools (Jenkins, GitHub Actions)intermediate
- SQL and big data technologies (Spark, Hadoop)intermediate
- Strong problem-solving and analytical thinkingintermediate
- Excellent communication and teamwork skillsintermediate
- Familiarity with ethical AI principles and bias mitigation techniquesintermediate
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-grade models (experience)
- Proven track record of building scalable AI solutions for real-world business applications (experience)
- Experience with MLOps practices, including model versioning, CI/CD pipelines, and containerization (Docker/Kubernetes) (experience)
- Strong programming proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn (experience)
- Ability to work collaboratively in cross-functional teams and communicate technical concepts to non-technical stakeholders (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, manufacturing, or IoT domains with AI applications (experience)
Responsibilities
- Design and develop AI/ML models to address complex problems in predictive maintenance, anomaly detection, and optimization
- Implement end-to-end AI pipelines from data ingestion to model deployment and monitoring
- Lead experimentation and A/B testing to validate model performance and business impact
- Collaborate with product managers and engineers to integrate AI solutions into Honeywell’s software platforms
- Perform model tuning, hyperparameter optimization, and scalability assessments for edge and cloud deployments
- Document technical approaches, create reusable code libraries, and contribute to internal AI knowledge base
- Analyze large datasets using SQL, Spark, or similar tools to derive actionable insights
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