Honeywell

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.

Director Architect role focused on designing and leading the development of embedded AI-first technology solutions within an industrial context. Responsibilities include team leadership, technical product management, and ensuring scalability, security, and compliance of distributed architectures that incorporate AI.

Software Engineer role focused on integrating AI/GenAI capabilities into existing software products and engineering processes, including intelligent automation, anomaly detection, and using GenAI for code generation and debugging. The role involves full software lifecycle management, collaboration with data scientists, and MLOps principles for model integration.

Director of Software Engineering at Honeywell, focusing on leading innovation and idea incubation for industrial, buildings, and security domains. The role involves guiding teams in adopting emerging technologies like AI/ML and GenAI, ensuring solutions are scalable, secure, and production-ready, with a strong emphasis on domain-specific constraints and regulatory compliance. The primary output is the successful transition of incubated ideas into scaled product platforms or enterprise delivery models.

The role involves working on a thesis (Bachelor's or Master's) in the field of Production Intelligence within the Advanced Manufacturing Engineering (AME) department. The focus is on developing modern software and automation solutions for future production, including digitalization, process optimization, MES integration, and scalable test/automation systems. The work will involve modern IIoT technologies, Industry 4.0 concepts, Industrial AI, and industrial communication standards. Specific thesis topics include developing a test stand for smart product parameterization, conceptualizing a new leak testing system, and developing a concept for automated palletization of gas meters. The role requires a background in Computer Science, Electrical Engineering, Mechatronics, Data Science, or Industrial Engineering, with an affinity for digitized production and automation programming. Knowledge of industrial communication protocols, SQL/NoSQL databases, MES systems, or edge/cloud platforms is beneficial. The position is a paid internship for 6-12 months.