Description

You will design, implement, and maintain machine learning modules and pipelines on the Google Cloud Platform.

Responsibilities

• Design and implement new machine learning approaches and enhance existing modules using current frameworks.
• Build and manage ML pipelines using Vertex AI, BigQuery, and other GCP services.
• Develop repeatable, reusable code for data preprocessing, feature engineering, and model training.
• Implement MLOps and CI/CD pipelines for model deployment, monitoring, and resource management via infrastructure as code.
• Address ethical implications, fairness, and bias mitigation throughout the model development lifecycle.
• Create technical specifications and documentation for model architectures, code, and processes.

Required Skills

• 7-10 years of professional experience with 5+ years specifically in Deep Learning.
• Hands-on experience with Google Cloud Platform, Vertex AI, Gemini, and BigQuery.
• Proficiency in deep learning techniques, neural network architectures (CNNs, RNNs, Transformers), and NLP.
• Experience with Generative AI concepts, LLM models, and multimodal language modeling.
• Strong knowledge of traditional machine learning algorithms and reinforcement learning.
• Practical experience in model training, fine-tuning, optimization, and deployment using Docker and Kubernetes.
• Skills in data preprocessing, including cleaning, feature engineering, and data augmentation.
• Ability to explain complex AI/ML and GenAI concepts to business leaders.
• Foundational knowledge of AI ethics, bias mitigation, and data privacy.

Preferred Skills

• Experience with Agentspace.
• Google GenAI L400 certification.

Key Skills

Education

Any Graduate