Key Responsibilities :

Develop and maintain backend systems for data processing and analytics
Implement and optimize machine learning models for OCR and NLP applications
Leverage Python and related frameworks to process large datasets efficiently
Work with data engineering teams to integrate data pipelines and data sources into backend systems
Design, implement, and deploy robust, scalable, and secure backend services
Apply Data Science concepts to analyze, interpret, and leverage data for actionable insights
Collaborate with front-end developers to integrate user-facing elements with server-side logic
Stay up-to-date with the latest trends in data science, machine learning, OCR, and NLP technologies
Troubleshoot and resolve issues in data models, pipelines, and production systems
Mentor and guide junior developers and contribute to team knowledge sharing

Required Skills and Qualifications :

4+years of experience as a Data Scientist or Backend Developer
Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
Strong knowledge of Data Science concepts, statistical analysis, and machine learning algorithms
Experience with Optical Character Recognition (OCR) techniques and tools (e.g., Tesseract, OpenCV)
Strong understanding and experience in Natural Language Processing (NLP) concepts (e.g., Named Entity Recognition, Sentiment Analysis, Text Classification)
Experience with backend frameworks and technologies (e.g., Django, Flask, FastAPI)
Familiarity with database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP)
Solid experience with version control (e.g., Git) and agile development processes
Excellent problem-solving and analytical skills
Strong communication skills and the ability to work effectively in a collaborative team environment

Preferred Qualifications :

Immediate Joiners are preferred.

Data Science Engineer