Machine learning Data Science Engineer

We are seeking a highly skilled AI/ML Data Science Engineer with strong expertise in Python and a solid foundation in deep learning, computer vision, and data analysis. The ideal candidate will have hands-on experience working with frameworks such as PyTorch, Keras, OpenCV, and Django. This role demands strong problem-solving abilities and a genuine passion for leveraging AI technologies to drive innovation. The successful candidate will collaborate closely with cross-functional teams to develop and deploy AI-powered applications that address real-world challenges and deliver impactful solutions.

Key Responsibilities
Develop and optimize machine learning models utilizing PyTorch and Keras. Execute computer vision and image processing tasks by leveraging OpenCV. Design and implement efficient data pipelines and preprocessing workflows to support model training and deployment. Conduct exploratory data analysis (EDA) and apply statistical modeling techniques to extract meaningful insights. Build and deploy AI-driven applications using Django and React JS frameworks. Collaborate with team members to create innovative AI solutions tailored to meet specific business requirements. Utilize SQL, Pandas, and NumPy for effective data manipulation and to generate actionable insights. Manage model deployment processes using Git, GitHub, and cloud platforms to ensure scalability, reliability, and maintainability of AI systems.

Required Qualifications
Bachelor’s or Master’s degree in Information Technology, Software Engineering, Computer Science, or a related field. A minimum of one year of professional experience working with cloud technologies. Strong foundation in machine learning, deep learning, and AI algorithms. Proficiency in Python and JavaScript programming languages. Practical experience with TensorFlow, PyTorch, Keras, and OpenCV frameworks. Skilled in data mining, statistical analysis, and feature engineering techniques. Excellent problem-solving skills, adaptability, and the ability to work effectively within a collaborative team environment.

Preferred Qualifications and Benefits
Knowledge of embedded systems and digital logic is considered a plus but is not mandatory. This position offers the opportunity to work in-person, enabling close collaboration and hands-on engagement with projects. It is ideal for professionals passionate about AI, machine learning, and data science who are eager to contribute to cutting-edge innovation through intelligent systems and data-driven insights. This is a full-time role designed for candidates ready to make a significant impact in the AI and data science domain by applying their technical expertise and creativity.

The role provides a dynamic environment where innovation and teamwork are highly valued, offering the chance to grow professionally while working on challenging AI projects that have tangible business outcomes.