Description

Lead the design, development, and deployment of end-to-end AI/ML solutions.

This role is hybrid.

Responsibilities

• Design and deploy end-to-end AI/ML solutions, covering classical ML and deep learning architectures.
• Architect and implement scalable image processing and computer vision systems, including OCR, object detection, and segmentation.
• Drive MLOps adoption by managing model lifecycles, CI/CD for ML, and monitoring pipelines.
• Build scalable data and ML workflows using the GCP stack.
• Mentor junior engineers and translate business problems into AI-driven solutions.

Required Skills

• 14+ years of experience in AI/ML, including classical ML (regression, classification, clustering, time-series) and deep learning.
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, Keras, OpenCV, and Scikit-learn.
• Proven expertise in image processing and computer vision applications.
• Hands-on experience with GCP: Vertex AI, AI Platform, BigQuery, Dataflow, Cloud Functions, and GKE.
• Solid understanding of algorithms, statistics, and the mathematical foundations of ML/AI.
• Experience with data engineering concepts, feature engineering, and model optimization.
• Proficiency with Python and SQL.

Key Skills

Education

Any Gradute