Data Scientist

Actively Reviewing the Applications

Acviss Technologies Pvt. Ltd.

Bengaluru On-site

Posted 17 hours ago • Apply by June 16, 2026

Job Description

Role Overview:

You'll lead efforts in developing, training, and deploying machine learning models with a focus on data processing and computer vision. Using your expertise in Python, OpenCV, and other advanced tools, you will work on complex data science projects and help us push the boundaries of AI technology.

Team Handling Leading &Mentoring junior data scientists
Data Modelling & Processi Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR.
Model Development: Design, build, and train machine learning models using deep learning frameworks such as TensorFlow, PyTorch, and Keras.
Computer Vision Projects: Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR.
ML Algorithms & Frameworks: Implement ML algorithms and leverage frameworks for NLP, computer vision, and other AI projects.
Testing & Experimentation: Conduct machine learning tests and experiments, refining models based on performance metrics.
API Development: Utilize Flask or Django to create APIs for model integration with applications.
Data Annotation & Augmentation: Apply data augmentation techniques for robust model performance, especially in image-based datasets.
Collaboration & Reporting: Work closely with cross-functional teams and provide detailed insights on model performance and data metrics.

Technical Skills Required:

Programming Languages: Proficiency in Python, with strong skills in C/C++ for performance-based applications.
ML Frameworks: Expertise in TensorFlow, PyTorch, and Keras.
Libraries & Tools: Strong command of OpenCV, Numpy, Scikit-learn, and Matplotlib.
Data Handling & Processing: Hands-on experience with data processing tools such as Pandas and SQL.
Natural Language Processing (NLP): Experience with NLP techniques using libraries like NLTK.
Web Scraping & Automation: Familiarity with Beautiful Soup for data extraction and Selenium for automation.
Software Development Tools: Knowledge of Django, Flask, Jupyter Notebook, and Linux environments.
Analytical Skills: Strong understanding of optimization techniques, regularization methods, and model architecture.

Pay: ₹1,000,000.00 - ₹1,600,000.00 per year

Benefits: