
Artificial Intelligence Engineer
2 weeks ago
The ideal candidate should have expertise in data analysis, exploratory data analysis (EDA), and applied statistics. They will work with large datasets to extract insights and build predictive/analytical solutions.
- Design, build, and deploy machine learning models.
- Work with Python, SQL, and key data science libraries for data wrangling, visualization, and model building.
- Apply NLP, LLMs, and GenAI frameworks to real-world use cases.
The Data Scientist will collaborate with cross-functional teams to identify business needs and deliver AI-driven solutions. They will stay updated with the latest advancements in Generative AI and apply them effectively.
Required Skills & Qualifications- Strong background in Python, data science libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Hands-on experience with Generative AI, LLMs, transformers, or diffusion models.
- Experience with NLP techniques, prompt engineering, and model fine-tuning.
- Familiarity with cloud platforms (AWS / Azure / GCP) and MLOps practices.
- Good understanding of data preprocessing, feature engineering, and model evaluation.
- Strong problem-solving and communication skills.
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