Supports application engineering work at Honeywell Technologies, an automation company serving building, industrial, and process sectors. The provided description contains limited role-specific responsibilities or qualifications.
About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
Similar Jobs
Aerospace
Application Engineer II role at Honeywell Technologies within its global automation business. The provided description contains no specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Develop data science and AI solutions using Python and Django, including data collection, labeling, curation, feature engineering, classical machine learning, and generative AI. Deploy models to production using CI/CD, Airflow, and MLflow; automate modeling pipelines and monitor model drift. Collaborate with stakeholders in Agile Scrum teams, improve testing and automation practices, and analyze business requirements.
Top Skills:
AgileAirflowCi/CdDjangoHadoopMlflowPandasPythonScrumSparkSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Build and industrialize reliable, scalable AI solutions and production ML pipelines. Bridge data science and IT production teams, manage Python environments, data sourcing, MLOps, model deployment, Airflow orchestration, Denodo integration, CI/CD, containerization, monitoring, security, and automation. Collaborate with international teams and promote testing, code quality, and technology improvements.
Top Skills:
AgileAmazon S3Apache AirflowBashDenodo PlatformDjangoDockerElkGitlab Ci/CdGrafanaHadoopJenkinsKafkaKibanaKubeflowKubernetesLinuxMambaMicromambaMlflowMlopsPipPostgresPythonScrumSparkUvVql
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
