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·Minimum bachelor’s degree in technology area of emphasis
Skills:
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The future is what you make it.
For more than 130 years, we’ve solved the toughest customer challenges through a rare combination of our industrial expertise and our innovations in groundbreaking software and technology, and industry-leading automation.
Key ResponsibilitiesBENEFITS OF WORKING FOR HONEYWELL
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Advanced Systems Engineer
Job Description:
Skills/Qualifications:
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1. Web client side developer:
Must Have:
Strong foundation in Angular routing, Guards, Angular Forms (Template driven and Reactive), Custom validation, State Management using Ngx/NgRx, Angular HTTP communication, Angular Services, Directives, Pipes, Components, Modules (with lazy loading) Component lifecycle hooks, Dynamic loading of views, Dependency injection in Angular, RxJS operators, sound knowledge of observable patterns and usage, Optimizing logic for high performance applications, Unit testing
Good to have:
Strong Angular CLI concepts
Must have:
HTML 5, CSS 3 (esp. responsive UI design using Grid layout, flexbox layout), SCSS (variables, mixins, functions etc.)
UI frameworks knowledge: Bootstrap 4/5, Tailwind CSS, Angular Material
Must have:
.NET Core 3.1/.NET 6 with C# (Dependency injection, Understanding of middleware and creating custom middleware, razor pages, HTTP communication between services and client – Push and Pull scenarios, Adding behaviours via attributes)
Good to have:
Referral bonus-50000 INR
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Embedded Engineer II
Bachelor’s/ Master’s degree in Engineering (ECE/CS/EEE)
• 2+ years’ experience in software development/systems/software verification with minimum 1 years’ experience in software verification & validation.
• Strong technical skills with emphasis in the areas of software development and verification processes, TSO certification and DO-178B/C design assurance guidelines.
• Strong understanding of software verification methods and tools currently in use as well as in industry standards and direction.
• The candidate should be highly motivated and have the ability to influence technical decisions.
• The candidate shall have effective communication skills.
• Mindset to contribute to technical initiatives for continuous growth.
• Good understanding of Aero FMS products and product line business.
• Passion to explore opportunities and solutions.
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Key Responsibilities:
· Design, develop, test, deploy, and maintain high-quality, scalable, and secure Python-based RESTful APIs.
· Collaborate closely with Data Scientists, ML Engineers, and Platform Engineers to understand requirements for integrating ML models.
· Develop API endpoints and backend logic to support various ML model lifecycle management tasks, including:
o Model Training orchestration and monitoring.
o Implementing "Bring Your Own Model" (BYOML) capabilities.
o Facilitating Edge deployment workflows for ML models.
o Handling model conversion processes between different formats (e.g., TensorFlow SavedModel, ONNX, PyTorch JIT, TFLite).
· Integrate APIs with existing cloud infrastructure, databases, and messaging systems.
· Write clean, maintainable, well-documented, and testable code following best practices.
· Participate in code reviews, design discussions, and contribute to improving development processes.
· Troubleshoot and resolve issues related to API performance, reliability, and integration points.
· Stay current with emerging trends and technologies in Python development, API design, MLOps, and relevant ML frameworks.
· Contribute to the automation of deployment pipelines (CI/CD).
Basic Qualifications:
· Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
· 3+ years of professional software development experience.
· Minimum 2+ years of hands-on experience developing backend services and APIs using Python.
· Proven experience with Python web frameworks such as Flask, FastAPI, or Django.
· Solid understanding of RESTful API design principles and best practices.
· Good knowledge of Machine Learning concepts and the typical ML model lifecycle (data prep, training, evaluation, deployment, monitoring).
· Familiarity with ML frameworks like TensorFlow/Keras or PyTorch, particularly concerning model saving, loading, and serving.
· Experience with version control systems, preferably Git.
· Strong problem-solving and analytical skills.
· Excellent communication and teamwork abilities.
Preferred Qualifications:
· Master's degree in Computer Science or a related field.
· Experience working with cloud platforms (e.g., Azure, AWS, GCP) and their ML services (e.g., Azure ML, SageMaker, Vertex AI).
· Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
· Experience building and maintaining CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitLab CI, GitHub Actions).
· Hands-on experience specifically implementing solutions for BYOML, Edge deployment, or model conversion.
· Knowledge of MLOps principles and tools (e.g., MLflow, Kubeflow).
· Experience with relational (SQL) and/or NoSQL databases.
· Familiarity with asynchronous programming in Python (e.g., asyncio).
· Experience working in an Agile/Scrum development environment.
· Experience in industrial IoT or related domains.
Additional InformationThese jobs might be a good fit

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These jobs might be a good fit

Key Responsibilities:
·
·Minimum bachelor’s degree in technology area of emphasis
Skills:
These jobs might be a good fit