Software Engr I

Job Description 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 Us 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.