AI Engineer

This is a strategic role focused on cutting-edge AI development, data-driven innovation, and scalable machine learning solutions. If you're passionate about building intelligent systems and ready to make an immediate impact, we want to hear from you.
Key Responsibilities

• Design, develop, and deploy machine learning models across classical ML, deep learning, and advanced AI domains.
• Lead end-to-end data workflows using Python and SQL for analysis, modeling, and database management.
• Implement NLP and computer vision solutions using state-of-the-art techniques and tools.
• Collaborate within the Databricks ecosystem to manage ML lifecycle, data pipelines, and model serving.
• Work closely with cross-functional teams to deliver scalable AI solutions aligned with business goals.

Required Skill Set
Programming & Query Languages

• Python, SQL

Machine Learning & AI Models

• Regression, Decision Trees, SVM
• CNNs, RNNs, Transformers
• GNNs, Reinforcement Learning, GANs
• LLMs (GPT-4, Claude, LLaMA)

Natural Language & Vision AI

• NLP: NER, Sentiment Analysis, Summarization
• Computer Vision: YOLO, ResNet, Segmentation, OCR

Frameworks & Libraries

• TensorFlow, PyTorch, Scikit-learn, Keras
• Hugging Face Transformers, Spark MLlib

Databricks Ecosystem

• Notebooks, MLflow, AutoML
• Delta Lake, Unity Catalog, Feature Store
• Model Serving, Lakehouse AI