
Senior Data AI Engineer
9 hours ago
Key Responsibilities:
- Develop and optimize machine learning and AI models to solve complex business challenges.
- Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
- Work with large-scale datasets in distributed computing environments.
- Apply data-driven insights to drive business outcomes.
- Evaluate the scalability and performance of AI solutions.
- Collaborate with cross-functional teams, including product owners, designers, and developers.
- Solve complex data integration and deployment challenges.
- Communicate results effectively using data visualization.
Required Skills & Experience:
- Strong experience in Machine Learning, Deep Learning, NLP, and AI engineering.
- Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience with Large Language Models (LLMs), model fine-tuning, and prompt engineering.
- Proficiency in Python, R, or Scala for AI development.
- Knowledge of cloud-based AI platforms (AWS, Azure, GCP).
- Experience with big data processing (Spark, Hadoop, or Dask).
- Ability to scale AI models from prototypes to production.
- Strong analytical and problem-solving skills.
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