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.
ResponsibilitiesKey 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.
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.
Skills Required
- 1-2 years of experience
- Strong knowledge of Python
- Understanding of Object-Oriented Programming
- Familiarity with data structures and algorithms
- Basic understanding of Machine Learning concepts and algorithms
- Experience with TensorFlow
- Experience with Keras
- Model training and evaluation
- Hyperparameter tuning
- Deep learning fundamentals
- Data preprocessing and feature engineering
- Exploratory Data Analysis (EDA)
- Statistical analysis and data visualization
- Experience with NumPy
- Experience with Pandas
- Experience with Matplotlib
- Experience with Seaborn
- Experience with OpenCV
- Image processing and object detection fundamentals
- Image classification and feature extraction concepts
- Basic SQL knowledge
- Git/GitHub version control
- Jupyter Notebook
- VS Code or PyCharm
- Exposure to NLP
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with model deployment frameworks (Flask or FastAPI)
- Understanding of MLOps concepts and CI/CD practices
- Knowledge of Docker and containerization
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
