Data Science and AI/ML Engineers

Other Portfolio


We are seeking a highly skilled and motivated Data Science and AI/ML Engineers. The ideal candidate will be proficient in using cutting-edge technologies such as Google Earth Engine, TensorFlow, and Tableau to extract valuable insights from complex datasets. If you have a passion for solving real-world problems through advanced analytics and machine learning, we invite you to join our dynamic team.




  1. Data Exploration and Pre-processing:

   - Collect, clean, and pre-process large datasets from various sources.

   - Implement data wrangling techniques to ensure data quality and integrity.


  1. Machine Learning and AI Development:

   - Develop and implement machine learning models to solve business problems.

   - Utilize TensorFlow and other AI/ML frameworks to build scalable and efficient solutions.

   - Stay updated on the latest advancements in machine learning and AI technologies.


  1. Data Visualization:

   - Create visually compelling and interactive dashboards using Tableau, Matplotlib, and Seaborn.

   - Employ Matplotlib and Seaborn for static visualizations, providing additional flexibility and      customization.

   - Communicate complex data findings through intuitive and effective visualizations.

   - Collaborate with cross-functional teams to understand visualization requirements and provide actionable insights.


  1. Good to have Geospatial Analysis with Google Earth Engine:

   - Leverage Google Earth Engine for geospatial data analysis and visualization.

   - Implement Geospatial Algorithms and Machine Learning Techniques to Extract Meaningful Patterns and Trends from Satellite Imagery.


  1. Collaboration and Communication:

   - Collaborate with data scientists, engineers, and domain experts to understand project requirements.

   - Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.


Skill Requirements:


- Bachelor's or advanced degree in Computer Science, Data Science, or a related field.

- Proven experience in developing and deploying machine learning models.

- Proficiency in TensorFlow, Python, and other relevant programming languages.

- Expertise in data visualization tools, especially Tableau.

- Good to Have Experience with Google Earth Engine for geospatial analysis.

- Solid understanding of statistical concepts and methodologies.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.


Preferred Qualifications:


- Advanced degree (Master's or Ph.D.) in a related field.

- Experience in deploying machine learning models in real-world applications.

- Familiarity with cloud platforms such as AWS or Google Cloud.