As a Software Engr I here at Honeywell, you will develop and maintain software solutions, working on cutting-edge projects that transform businesses. Your expertise will shape the future of technology and industry solutions. We are seeking a passionate **Software Engineer with experience** in Python-based development, Machine Learning, and Data Science. The ideal candidate should have hands-on experience working with **Python, TensorFlow, Keras, OpenCV**, data preprocessing, model training, and deployment of machine learning solutions. The candidate will work closely with data scientists, software engineers, and business stakeholders to build intelligent applications and data-driven solutions. ### Responsibilities **Key Responsibilities** - Develop, test, and maintain Machine Learning and Data Science solutions using Python. - Build and train machine learning and deep learning models using **TensorFlow** and **Keras**. - Perform data collection, cleaning, preprocessing, and feature engineering. - Implement computer vision solutions using **OpenCV**. - Analyze datasets and generate actionable insights using data science techniques. - Evaluate, fine-tune, and optimize model performance. - Develop and integrate ML models into software applications. - Create reusable code, pipelines, and documentation for ML workflows. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Participate in code reviews, testing, debugging, and deployment activities. ### Qualifications **Required Skills** **Experience:** 1-2 yrs **Programming** - Strong knowledge of **Python**. - Understanding of Object-Oriented Programming (OOP). - Familiarity with data structures and algorithms. **Machine Learning & Deep Learning** - Basic understanding of Machine Learning concepts and algorithms. - Experience with: - TensorFlow - Keras - Model Training and Evaluation - Hyperparameter Tuning - Deep Learning Fundamentals **Data Science** - Data preprocessing and feature engineering. - Exploratory Data Analysis (EDA). - Statistical analysis and data visualization. - Experience with: - NumPy - Pandas - Matplotlib - Seaborn **Computer Vision** - Experience with **OpenCV**. - Image processing and object detection fundamentals. - Image classification and feature extraction concepts. **Database & Tools** - Basic SQL knowledge. - Git/GitHub version control. - Jupyter Notebook. - VS Code or PyCharm. **Preferred Skills** - Exposure to NLP (Natural Language Processing). - Familiarity with cloud platforms such as Azure, AWS, or GCP. - Experience with model deployment frameworks such as Flask or FastAPI. - Understanding of MLOps concepts and CI/CD practices. - Knowledge of Docker and containerization. ### About the Company Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.