
AI Innovator
8 hours ago
Job Overview
We are seeking a highly skilled Data Scientist with strong hands-on experience in Databricks and AWS to drive innovation in our data engineering team.
The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code. Experience with DAB (Data Access Broker) is highly preferred.
- Main Responsibilities:
- Develop and optimize ML/AI models with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs).
- Create and train models using Python, PyTorch, TensorFlow, NumPy, and other relevant libraries.
- Research and implement novel techniques in generative AI, transformers, embeddings, and fine-tuning of LLMs.
- Deploy AI solutions on cloud platforms (AWS, Azure, GCP) ensuring scalability, security, and efficiency.
- Collaborate with data engineers and product teams to integrate ML models into production workflows.
- Evaluate and improve deployed models for accuracy, robustness, and performance.
Key Skills & Qualifications:
- Strong proficiency in Python and experience with PyTorch, TensorFlow, NumPy.
- Hands-on expertise in LLMs, NLP techniques (transformers, BERT, GPT, etc.), and deep learning architectures.
- Solid understanding of data preprocessing, embeddings, and model fine-tuning.
- Experience deploying AI solutions on cloud-based platforms (AWS/GCP/Azure).
- Ability to write clean, efficient, and optimized code for large-scale ML systems.
- Strong problem-solving skills with the ability to translate business challenges into AI solutions.
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