About the Job
Key responsibilities:A. Data Collection & Preparation
1. Gather, clean, and preprocess structured and unstructured data from multiple sources.
2. Ensure data quality, integrity, and security for model training and analysis.
B. Model Development & Training
1. Design, train, and fine-tune machine learning (ML) and deep learning (DL) models.
2. Experiment with algorithms to solve problems such as prediction, classification, recommendation, or optimization.
C. AI System Integration
1. Deploy AI models into existing systems, software, or workflows.
2. Collaborate with software engineers to integrate AI components into production environments (APIs, cloud, etc.).
3. Work on LLM models
D. Research & Innovation
1. Stay updated with emerging AI frameworks, technologies, and industry trends.
2. Prototype and test new AI methods to drive innovation within the organization.
E. Collaboration & Communication
1. Work closely with cross-functional teams (data engineers, developers, business managers).
2. Translate technical results into actionable insights for non-technical stakeholders.
Number of Openings
2 openingsPerks of this Jobs
Informal dress code
Skills
Python, Data Structures, Machine Learning, Data Science, Deep Learning, Artificial intelligence, LLMOps
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