What you'd actually do

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.

Skills

Required

Python
TensorFlow
Keras
OpenCV
Model Training
Model Evaluation
Hyperparameter Tuning
Deep Learning Fundamentals
Data preprocessing
Feature engineering
Exploratory Data Analysis (EDA)
Statistical analysis
Data visualization
NumPy
Pandas
Matplotlib
Seaborn
Image processing
Object detection
Image classification
Feature extraction
SQL
Git/GitHub
Jupyter Notebook
VS Code or PyCharm

Nice to have

NLP
Azure
AWS
GCP
Flask
FastAPI
MLOps
CI/CD
Docker
Containerization

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.

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.

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.