We are looking for a seasoned Senior Data Scientist & Python Engineer with deep expertise in data science Python programming and a specialization in image classification. This role demands advanced data science capabilities and engineering experience to drive the development and deployment of computer vision solutions.
Key Responsibilities
- Image Classification & Computer Vision: Design train and deploy image classification models using stateoftheart machine learning techniques.
- Data Science & Machine Learning: Apply advanced data science methods to build and optimize models addressing complex challenges in computer vision predictive analytics and datadriven decisionmaking.
- Python Engineering: Develop and maintain Pythonbased applications focusing on the robustness and efficiency of model pipelines for image classification tasks.
- Data Engineering: Ensure data quality and accessibility by building and maintaining scalable pipelines especially for handling large volumes of image data.
- Data Analysis and Visualization: Conduct analyses and create visualizations to convey findings and support decisionmaking related to image classification and broader data projects.
- Collaboration & Mentorship: Collaborate with crossfunctional teams and mentor junior data scientists and engineers to advance their skills particularly in computer vision.
- Continuous Learning: Stay updated on industry trends in machine learning deep learning and image processing to bring innovative solutions to our team.
Requirements
- Education: Bachelors or Masters degree in Computer Science Data Science Statistics Engineering or a related field.
- Experience:
- 10 years of handson experience in Python development.
- 5 years of experience as a Data Scientist with a focus on computer vision and image classification.
- Technical Skills:
- Proficiency in Python including libraries like Pandas NumPy Scikitlearn TensorFlow Keras and OpenCV.
- Extensive experience in machine learning and deep learning with a strong focus on image classification techniques such as CNNs transfer learning and object detection.
- Knowledge of data visualization tools (e.g. Matplotlib Seaborn Plotly) and familiarity with big data frameworks (Spark Hadoop).
- Databases: postgreSQL Pinecone / Milvus (vetor database)
- Expertise in data pipeline development especially for image and video processing.
- Soft Skills:
- Strong analytical and problemsolving skills.
- Excellent communication skills able to explain complex concepts to both technical and nontechnical audiences.
- Experience leading and mentoring team members.
- Preferred Qualifications:
- Experience with cloud platforms (AWS preferred) and containerization (Docker).
- Background in natural language processing or other areas of computer vision is a plus.