Job Responsibilities :

- 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 LLM's 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.

candidates only from : Retail, Logistics, E-commerce Industry only