Mission:
Develop and optimize predictive models that select the best AI models/platforms/tools for diverse use cases.
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Outcomes:
1. Model Development:
and nbsp; and nbsp; Develop and deploy an initial predictive model within the first 2 months.
and nbsp; and nbsp; Achieve at least 80% accuracy on test datasets.
2. Data Collection and Preparation:
and nbsp; and nbsp; Establish robust data pipelines within 1 month.
and nbsp; and nbsp; Ensure highquality data input for models.
3. Model Evaluation and Iteration:
and nbsp; and nbsp; Implement a system for continuous model evaluation and improvement.
and nbsp; and nbsp; Show a 10% improvement in accuracy each month.
4. Integration:
and nbsp; and nbsp; Successfully integrate the predictive model into the platform within 2 months.
and nbsp; Continuously enhance the model based on user feedback and new data.
5. User Feedback and Improvement:
and nbsp; and nbsp; Incorporate user feedback to refine the model.
and nbsp; and nbsp; Conduct monthly feedback sessions and implement insights.
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Competencies:
1. Technical Skills:
and nbsp; and nbsp; Expertise in machine learning algorithms and model development.
and nbsp; and nbsp; Proficiency in Python R TensorFlow PyTorch and scikitlearn.
2. Analytical Thinking:
and nbsp; and nbsp; Strong ability to analyze complex datasets.
3. Innovation:
and nbsp; and nbsp; Creativity in developing effective models.
4. Programming:
and nbsp; and nbsp; Experience with Pandas and NumPy.
5. Collaboration:
and nbsp; and nbsp; Effective teamwork with crossfunctional teams.
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Whats in it for you:
- Every single day of your work will be immensely valuable and will help many people
- Meet with new people interact and grow your strong network
- Learn new things everyday beyond your position as you experience the thrill of working in a startup
- Get autonomy to make your own decisions grow and become a better leader
- Have loads of fun along the journey
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