AI/ML Practice Leader

2 weeks ago

Pune, Maharashtra, India beBeeLeadership Full time ₹ 1,84,32,000 - ₹ 2,59,20,000
Google Cloud AI Practice Lead Job Summary

We are seeking an experienced and skilled professional to drive the AI/ML practice, lead solution design, and ensure successful delivery of AI-driven projects on Google Cloud Platform (GCP).

This role involves leading the AI/ML practice, defining the roadmap for AI initiatives on Google Cloud, and architecting and designing AI/ML solutions leveraging GCP services.

The ideal candidate will have strong expertise in AI/ML algorithms, neural networks, pattern recognition, and statistical modeling, with proven experience in building and deploying AI/ML solutions on Google Cloud Platform.

Key Responsibilities:

  • Lead the AI/ML practice and define the roadmap for AI initiatives on Google Cloud.
  • Architect and design AI/ML solutions leveraging GCP services.
  • Drive end-to-end project execution from requirement gathering, model development, deployment, and monitoring.
  • Collaborate with cross-functional teams to identify business problems and convert them into AI/ML use cases.
  • Engage in pre-sales activities, proposal building, and solution demonstrations for prospective clients.

Requirements:

  • Strong expertise in AI/ML algorithms, neural networks, pattern recognition, and statistical modeling.
  • Proven experience in building and deploying AI/ML solutions on Google Cloud Platform.
  • Proficiency in Python and Java for AI/ML development.
  • Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Strong understanding of cloud-native architectures, microservices, and APIs.
  • Expertise in data preprocessing, feature engineering, and pipeline automation.
  • Knowledge of GCP AI/ML services: Vertex AI, AutoML, BigQuery ML, AI Platform.
  • Experience in MLOps practices including CI/CD for ML, model monitoring, and retraining strategies.
  • Excellent problem-solving, analytical, and decision-making skills.
  • Strong leadership and mentoring capabilities with experience managing technical teams.

Benefits:

We offer a dynamic work environment, competitive compensation package, and opportunities for growth and professional development.

About Us:

We are a forward-thinking organization committed to innovation and excellence in the field of AI and machine learning.

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