Sr Data Scientist

1 week ago

Bengaluru, Karnataka, India Brillio Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Sr Data Scientist

Primary Skills
  • AI/ML Solutions & Models
  • Deep Learning
  • GCP
  • Image Processing
  • SQL
  • Python
  • Experience - 9 to 14yrs
Job requirements
  • We are looking for a highly experienced Senior AI/ML Engineer with 10+ years of proven expertise across classical machine learning and modern AI/deep learning, with strong specialisation in image processing and computer vision.
  • The candidate should have extensive hands-on experience in Google Cloud Platform (GCP) for developing, deploying, and scaling AI/ML solutions.
  • Key Responsibilities
  • Lead the design, development, and deployment of end-to-end AI/ML solutions, including both classical ML models (regression, classification, clustering, time-series) and advanced AI models (deep learning, transformers, GANs).
  • Architect and implement scalable image processing/computer vision systems (OCR, object detection, segmentation, recognition, image enhancement).
  • Drive the adoption of MLOps best practices – model lifecycle management, CI/CD for ML, monitoring, retraining pipelines.
  • Build scalable data and ML workflows on GCP stack – Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage.
  • Collaborate with product, engineering, and research teams to translate business problems into AI-driven solutions.
  • Mentor junior engineers and provide technical leadership on AI/ML projects.
  • Continuously research and evaluate new algorithms, tools, and trends in AI/ML and image processing.

Required Qualifications
  • 10+ years of experience in AI/ML, including classical ML and advanced AI/deep learning.
  • Strong programming skills in Python, with expertise in frameworks like TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn.
  • Proven experience in image processing/computer vision applications.
  • Hands-on expertise in GCP stack (Vertex AI, AI Platform, BigQuery, Dataflow, Cloud Functions, GKE).
  • Strong background in data engineering concepts, feature engineering, and model optimization.
  • Solid understanding of algorithms, statistics, and mathematical foundations of ML/AI.

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