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Senior Associate - GCP AI

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Onsite

Senior Associate - GCP AI

Symphoni Hr

Senior Associate - GCP AI

Skills

Google Cloud PlatformBig DataDockerPythonData ScienceKerasPyTorchTensorFlowMachine LearningAIAWSKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Senior Associate GCP AI

We are seeking a highly skilled and experienced Senior Associate GCP AI to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying cutting-edge AI/ML solutions on the Google Cloud Platform, contributing significantly to our clients' digital transformation journeys.

Key Responsibilities

  • Design and implement scalable AI/ML solutions on Google Cloud Platform (GCP).
  • Develop and deploy machine learning models using Vertex AI, TensorFlow, and PyTorch.
  • Collaborate with data scientists and engineers to integrate AI solutions into existing systems.
  • Optimize AI/ML model performance and ensure efficient resource utilization on GCP.
  • Provide technical guidance and mentorship to junior team members.
  • Stay updated with the latest advancements in GCP AI services and machine learning.

Required Skills & Experience

  • 5+ years of experience in AI/ML development and deployment.
  • Strong proficiency with Google Cloud Platform (GCP) AI services (Vertex AI, AI Platform, Vision AI, Natural Language AI).
  • Expertise in Python programming and relevant AI/ML libraries (TensorFlow, Keras, PyTorch, scikit-learn).
  • Solid understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.
  • Experience with MLOps practices and tools for model lifecycle management.
  • Familiarity with data warehousing and big data technologies on GCP (BigQuery, Dataflow).

Nice to Have

  • GCP Professional Machine Learning Engineer certification.
  • Experience with other cloud platforms (AWS, Azure).
  • Knowledge of containerization technologies (Docker, Kubernetes).
  • Prior experience in a client-facing consulting role.

Education

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.

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