Honeywell

Senior Advanced Software Engineer at Honeywell with expertise in computer vision, deep learning, and GenAI, focusing on end-to-end ML pipeline ownership from research to production deployment and scaling. Requires strong skills in ML deployment, MLOps, cloud platforms, and Python/C++/Java.

Senior Advanced AI Engineer at Honeywell's Buildings Automation team, focusing on end-to-end development of complex ML and Gen AI solutions for the Smart Communities domain. The role involves innovating, designing, prototyping, and deploying solutions for incident management and customizable dashboards, working with diverse data types (HVAC, fire, security, etc.). Responsibilities include architecting AI/ML/Gen AI solutions, developing agentic AI systems, providing technical leadership, and owning the technology solution lifecycle.

Senior Advanced AI Engineer at Honeywell responsible for designing, developing, and deploying end-to-end cloud and AI/ML solutions for autonomous capabilities. This role involves hands-on technical leadership across the full ML lifecycle, from data pipelines to model optimization and drift detection, with a focus on MLOps and integrating AI into existing products. The engineer will also mentor junior team members.

Full Stack AI Platform Engineer responsible for designing, building, and scaling enterprise AI/ML platforms, focusing on IoT data pipelines, LLM orchestration, RAG services, and deploying models to edge devices. The role involves developing Python APIs for inference, managing ML platform services, building CI/CD for edge deployments, implementing ML orchestration workflows, and integrating AI workloads.

AI Technical Program Manager for GBS Finance at Honeywell, leading the development and scaling of autonomous and agentic AI systems for business workflows. The role requires a hybrid mindset of senior program leadership and technical depth, focusing on governance, metrics, architecture, and continuous improvement within a regulated finance environment.

Lead AI Engineer at Honeywell responsible for developing and implementing AI solutions, leading a team of AI engineers, and providing technical leadership. Requires strong expertise in machine learning and deep learning.

Senior Software Engineer focused on building and deploying scalable backend services and APIs, with a strong emphasis on MLOps pipelines, observability, and CI/CD within an industrial and safety-critical aerospace context.

Lead Software Architect role at Honeywell focusing on designing and developing scalable software architectures for process and DCS solutions, incorporating AI/ML and Azure. The role involves researching emerging technologies, architecting microservices, and ensuring system integration and scalability within the industrial domain.

This role focuses on assessing the security of GenAI/LLM-enabled systems, including RAG and agentic workflows. Responsibilities include identifying vulnerabilities like prompt injection, data exfiltration, and tool abuse, evaluating guardrails, and reporting findings to engineering teams for remediation. The role requires hands-on penetration testing experience across various domains, with a specific emphasis on GenAI security.

This role involves developing and delivering static/rotating asset fault models and predictive maintenance solutions for industrial customers, primarily in the Oil & Gas and Petrochemical sectors. The engineer will act as a Configuration/Monitoring engineer, design FMEA blueprints, and develop models using Machine Learning, Prediction, Fault Tree Analysis, and Root-Cause Failure Analysis to identify and prevent asset failures. The role also includes evaluating the benefits of these solutions and defining methodologies to measure customer KPIs.

Honeywell is seeking an Advanced Data Scientist to own end-to-end data science and machine learning solutions, from problem formulation to production deployment. This role requires expertise in machine learning, data engineering, MLOps, cloud platforms, and technical leadership, working with stakeholders to design scalable data and ML systems. Responsibilities include building NLP and GenAI applications, implementing RAG pipelines, prompt engineering, and evaluating LLM systems, alongside developing classical ML and deep learning models. The role also involves MLOps for the full ML lifecycle, deployment using APIs, and monitoring production models on cloud platforms (AWS/Azure/GCP).

Senior Advanced Data Engineer with 9+ years of experience to architect, build, and scale cloud-native data and AI platforms on Azure using Databricks. This role requires deep expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to enable advanced analytics, machine learning, and business intelligence use cases. The candidate will lead enterprise-scale data initiatives, collaborate with data scientists and ML engineers, and contribute to the data and AI strategy.

Senior Data Engineer to design, build, and scale cloud-native data and AI platforms on Azure using Databricks, focusing on data engineering, lakehouse architecture, and AI/ML data pipelines to support advanced analytics and ML use cases. The role involves leading data initiatives, collaborating with data scientists and ML engineers, and contributing to the data and AI strategy.

Seeking an ML Engineer to design, implement, and operate scalable ML platforms on Databricks, focusing on reliable model development, deployment, monitoring, and lifecycle management for large-scale AI workloads. Responsibilities include end-to-end ML lifecycle management, automation frameworks, governed experiment tracking, model serving, monitoring, feature management, and optimization.

Data Scientist II role focused on leveraging Generative AI, OCR, and Computer Vision to build and deploy models and end-to-end pipelines, with an emphasis on cloud platforms and MLOps within the life sciences domain.

Develops and implements AI algorithms, models, and systems for industrial applications, collaborating with cross-functional teams to integrate solutions and drive technical excellence. Requires a technical bachelor's degree and 2+ years of AI project experience with Python, TensorFlow, and PyTorch.

Advanced Software Engineer at Honeywell in Bengaluru, India, focusing on Data Engineering and ML Operations for production-grade AI solutions. The role involves leading the development of AI systems using various learning techniques, optimizing model performance, and integrating third-party AI services. Requires strong Python, ML libraries, MLOps tools, cloud platforms, and big data experience, with exposure to LLMs, vector databases, and edge AI.

Manager for an industrial AI/ML engineering team, focusing on building and deploying intelligent solutions for predictive maintenance, process optimization, and smart automation. Requires strong leadership, AI/ML strategy, production deployment experience, and industrial systems integration.

Advanced AI Engineer at Honeywell, leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. This role requires expert-level technical leadership, end-to-end project lifecycle management, and collaboration with cross-functional teams and business leaders to ensure AI initiatives align with business objectives. The position emphasizes driving technical excellence and fostering a culture of innovation.

Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems, acting as a subject matter expert, and driving technical excellence in critical AI initiatives within the industrial domain. The role involves end-to-end AI development lifecycle management and collaboration with cross-functional teams and product managers.

Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems for industrial applications. Requires 3+ years of experience managing AI technology projects and mastery in machine learning.

Senior Advanced AI Engineer at Honeywell, focused on leading the design and development of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, subject matter expertise, and collaboration with cross-functional teams to integrate AI solutions and drive technical excellence.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. The role involves managing end-to-end data science projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team within the industrial domain.

Senior Advanced AI Engineer at Honeywell, focusing on leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, project management, and mentorship within the AI development lifecycle, aiming to address business needs and drive technical excellence.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. The role involves managing end-to-end data science projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team within the industrial domain.

Advanced Data Scientist role at Honeywell focusing on leading the development and implementation of advanced analytics models and algorithms, translating business needs into data science solutions, and managing end-to-end data science projects within the industrial domain. The role involves mentoring junior data scientists and driving innovation.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on machine learning, statistical modeling, and data analysis. The role involves leading complex projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team, translating business needs into data science solutions.

This role is for a Sr. Software Engineering Manager at Honeywell, focusing on leading engineering teams to build and scale reliable, secure, and resilient cloud-native systems on Azure, GCP, and AWS. The manager will be responsible for driving engineering strategy, integrating AI/ML practices into engineering processes and product capabilities, operationalizing ML models, building MLOps pipelines, and leading the delivery of AI-enabled features. The role also involves people leadership, advancing platform engineering, strengthening quality engineering with AI-driven insights, and managing budgets for AI-driven initiatives. Experience with SRE, Data and AI platforms, and integrating ML models into production systems is required.