
Data Science and AI Engineer
2 days ago
Key Responsibilities
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- Develop and implement AI-driven solutions across Generative AI, LLMs, Computer Vision, Time-Series forecasting, and Data Analytics.\
- Design system architectures, data pipelines, algorithms, and machine learning models tailored to solve client-specific business challenges.\
- Collaborate with product, data engineering, and software development teams to integrate and deploy AI models into end-to-end solutions.\
- Work on data wrangling, engineering, model deployment, and ongoing model maintenance and performance optimization.\
- Stay actively informed about AI research advancements and emerging technologies.\\-
Requirements and Qualifications
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- 2-3 years of professional experience in Data Science, Machine Learning, and Artificial Intelligence roles.\
- Bachelor's degree (or higher) in Computer Science, Data Science, Software Engineering, AI, Electrical Engineering, or a related discipline.\
- Strong Python programming, problem-solving, and algorithm design skills.\
- In-depth understanding of Machine Learning and Deep Learning theories and practical implementation using frameworks like Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.\
- Proven experience with Generative AI, LLMs, and NLP.\
- Experience with Computer Vision tasks such as Image Classification, Object Detection, and Image Segmentation.\
- Familiarity with additional AI domains like Time-Series Analysis, Recommendation Systems, Speech Recognition, Reinforcement Learning, and Image Generation.\\-
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