Data Science Engineer

3 days ago

Chennai, India Populus Empowerment Network Full time

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 sharingRequired 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 environmentPreferred Qualifications:Immediate Joiners are preferred.- Master’s degree or higher in Computer Science, Data Science, or a related field- Experience with deploying machine learning models in production- Familiarity with containerization technologies (e.g., Docker, Kubernetes)- Experience with big data tools and technologies (e.g., Hadoop, Spark)

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