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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.