Data Scientist

Job Responsibilities: Languages

• Design, develop, and implement machine learning models for geospatial data analysis and processing.
• Create and maintain data pipelines to process large-scale geospatial data for AI/ML applications.
• Integrate with LLMs and enhance contextual modeling.
• Optimize AI/ML models for performance, accuracy, and efficiency.
• Collaborate with developers, data scientists, and other stakeholders to integrate AI solutions.
• Continuously explore new AI/ML techniques and technologies that can be applied to Location-based applications.

Qualifications & Experience:

• B.Tech / B.E
• 3-5 Years

Required skills

Technical Skills:

• Strong experience with Python programming for AI/ML model development and data analysis.
• Experience with object classification and training deep neural networks using synthetic, artificial and natural data.
• Proficiency with libraries like TensorFlow, PyTorch, and Scikit-learn for developing machine learning models or fine tuning existing models.
• Expertise in optimizing AI/ML algorithms for performance, including hyper parameter tuning and model validation.
• Experienced in managing backend database and UI.
• Experience in code versioning.

Soft Skills:

• Strong analytical skills to tackle complex AI/ML challenges and find effective solutions.
• Ability to work well in cross-functional teams and communicate technical concepts clearly.
• Eagerness to learn and quickly adapt to new AI/ML technologies and methodologies

Preferred Skills:

• Experience in handling large datasets, particularly geospatial data, using tools like Pandas, Numpy, etc.
• Familiarity with handling and analyzing geospatial data using AI/ML techniques.
• Familiarity with libraries such as GeoPandas and Shapely for working with spatial data.
• Experience with applying deep learning, neural networks, or other advanced ML models to geospatial data analysis.