AI Engineer II
Honeywell
AI Engineer II
Job Description
AI Engineer II
Overview
Join Honeywell's innovative AI team as an AI Engineer II in Atlanta, GA. In this hybrid role, you will develop and implement cutting-edge AI algorithms, models, and systems to tackle complex business challenges across aerospace, building technologies, and performance materials. Reporting directly to our Senior Director of Software Architecture, you'll collaborate with cross-functional teams of data scientists, software engineers, and domain experts to deliver scalable, efficient AI solutions that drive Honeywell's digital transformation. With a hybrid work schedule, enjoy the flexibility of working from our state-of-the-art Atlanta office and remotely.
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 using cloud platforms like AWS or Azure.
- Collaborate with product managers, data engineers, and stakeholders to translate business requirements into robust AI solutions.
- Conduct model evaluation, experimentation, and A/B testing to improve accuracy, precision, and recall metrics.
- Implement MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
- Mentor junior engineers and contribute to code reviews, fostering a culture of technical excellence.
- Stay abreast of emerging AI trends and integrate state-of-the-art techniques into Honeywell's product ecosystem.
What Makes This Role Exciting
Be at the forefront of Honeywell's AI revolution, impacting global industries with solutions that enhance safety, efficiency, and sustainability. Work on high-stakes projects like autonomous systems and intelligent automation, with access to world-class compute resources and collaborative innovation hubs. Enjoy career growth in a Fortune 100 company, competitive compensation, and the chance to shape the future of intelligent technology. If you're passionate about AI and ready to make a real-world difference, this is your opportunity to thrive at Honeywell.
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, R, and SQL for AI developmentintermediate
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras)intermediate
- Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes)intermediate
- Strong knowledge of data structures, algorithms, and distributed computingintermediate
- Familiarity with big data technologies (Spark, Hadoop)intermediate
- Cloud computing skills (AWS, Azure, GCP)intermediate
- Excellent problem-solving and analytical abilitiesintermediate
- Strong communication skills for technical and non-technical audiencesintermediate
- Version control and CI/CD practicesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field (experience)
- 5+ years of professional experience in AI/ML engineering or data science roles (experience)
- Proven track record of deploying production-scale AI models (experience)
- Experience with Python, TensorFlow/PyTorch, and cloud ML platforms (AWS SageMaker, Azure ML) (experience)
- Strong understanding of software engineering principles and version control (Git) (experience)
- Ability to work in a hybrid environment in Atlanta, GA (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related discipline (experience)
- AWS Certified Machine Learning or Google Professional ML Engineer certification (experience)
- Experience in aerospace, manufacturing, or IoT domains (experience)
Responsibilities
- Develop and implement AI algorithms and models to solve complex business problems in real-time data processing and predictive maintenance
- Lead the design of scalable AI systems, integrating with Honeywell's enterprise software stack
- Collaborate cross-functionally to align AI solutions with business objectives and ensure seamless deployment
- Perform data preprocessing, feature engineering, and model training using large-scale datasets
- Optimize and fine-tune models for edge deployment on IoT devices and cloud infrastructures
- Conduct rigorous testing, validation, and performance benchmarking of AI systems
- Document technical specifications and contribute to knowledge sharing within the team
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work schedule with work-life balance initiatives
- general: Paid time off, parental leave, and employee assistance programs
- general: Stock purchase plan and employee discounts
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
Overview
Join Honeywell's innovative AI team as an AI Engineer II in Atlanta, GA. In this hybrid role, you will develop and implement cutting-edge AI algorithms, models, and systems to tackle complex business challenges across aerospace, building technologies, and performance materials. Reporting directly to our Senior Director of Software Architecture, you'll collaborate with cross-functional teams of data scientists, software engineers, and domain experts to deliver scalable, efficient AI solutions that drive Honeywell's digital transformation. With a hybrid work schedule, enjoy the flexibility of working from our state-of-the-art Atlanta office and remotely.
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 using cloud platforms like AWS or Azure.
- Collaborate with product managers, data engineers, and stakeholders to translate business requirements into robust AI solutions.
- Conduct model evaluation, experimentation, and A/B testing to improve accuracy, precision, and recall metrics.
- Implement MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
- Mentor junior engineers and contribute to code reviews, fostering a culture of technical excellence.
- Stay abreast of emerging AI trends and integrate state-of-the-art techniques into Honeywell's product ecosystem.
What Makes This Role Exciting
Be at the forefront of Honeywell's AI revolution, impacting global industries with solutions that enhance safety, efficiency, and sustainability. Work on high-stakes projects like autonomous systems and intelligent automation, with access to world-class compute resources and collaborative innovation hubs. Enjoy career growth in a Fortune 100 company, competitive compensation, and the chance to shape the future of intelligent technology. If you're passionate about AI and ready to make a real-world difference, this is your opportunity to thrive at Honeywell.
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, R, and SQL for AI developmentintermediate
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras)intermediate
- Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes)intermediate
- Strong knowledge of data structures, algorithms, and distributed computingintermediate
- Familiarity with big data technologies (Spark, Hadoop)intermediate
- Cloud computing skills (AWS, Azure, GCP)intermediate
- Excellent problem-solving and analytical abilitiesintermediate
- Strong communication skills for technical and non-technical audiencesintermediate
- Version control and CI/CD practicesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field (experience)
- 5+ years of professional experience in AI/ML engineering or data science roles (experience)
- Proven track record of deploying production-scale AI models (experience)
- Experience with Python, TensorFlow/PyTorch, and cloud ML platforms (AWS SageMaker, Azure ML) (experience)
- Strong understanding of software engineering principles and version control (Git) (experience)
- Ability to work in a hybrid environment in Atlanta, GA (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related discipline (experience)
- AWS Certified Machine Learning or Google Professional ML Engineer certification (experience)
- Experience in aerospace, manufacturing, or IoT domains (experience)
Responsibilities
- Develop and implement AI algorithms and models to solve complex business problems in real-time data processing and predictive maintenance
- Lead the design of scalable AI systems, integrating with Honeywell's enterprise software stack
- Collaborate cross-functionally to align AI solutions with business objectives and ensure seamless deployment
- Perform data preprocessing, feature engineering, and model training using large-scale datasets
- Optimize and fine-tune models for edge deployment on IoT devices and cloud infrastructures
- Conduct rigorous testing, validation, and performance benchmarking of AI systems
- Document technical specifications and contribute to knowledge sharing within the team
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work schedule with work-life balance initiatives
- general: Paid time off, parental leave, and employee assistance programs
- general: Stock purchase plan and employee discounts
Tags & Categories
Answer 10 quick questions to check your fit for AI Engineer II @ Honeywell.
Related Books and Jobs