Application For GCP GenAI Engineer

7 - 12 years

10 - 20 Lacs

Posted:4 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

We are looking for a versatile and experienced in Machine Learning Engineer to support our data engineering and analytics initiatives on Google Cloud Platform (GCP). The ideal candidate will bring expertise in unsupervised machine learning, experimentation, generative AI, and data visualization, and will help build scalable solutions that uncover insights and drive business decisions.

While experience with unsupervised learning (e.g., clustering, anomaly detection, dimensionality reduction) is highly preferred, we welcome candidates with a broader ML background who are passionate about solving complex data problems and visualizing results effectively.

About the Role:

Location: NCR/Bangaluru

Department: Cloud / AI / Engineering

Key Responsibilities:

  • Assist in building and deploying Generative AI solutions on Google Cloud Platform.
  • Support AI/ML model development and experimentation, including LLMs and other generative models.
  • Work with GCP services like Vertex AI, BigQuery, and Cloud Storage to implement AI solutions.
  • Collaborate with senior engineers and data scientists to integrate AI into applications.
  • Monitor basic performance metrics and assist in troubleshooting issues.
  • Keep up-to-date with AI/ML technologies and GCP developments.

Required Qualifications

  • Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Experience in AI/ML or cloud technologies (internship experience not counts).
  • Basic understanding of Generative AI concepts and frameworks (TensorFlow, PyTorch, Hugging Face).
  • Familiarity with Google Cloud Platform services.
  • Programming skills in Python or Java.
  • Willingness to learn, adapt, and take on new challenges.

Preferred Qualifications:

  • Exposure to NLP, computer vision, or conversational AI projects.
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Participation in AI/ML projects, competitions, or open-source contributions.

Key Competencies:

  • Eagerness to learn and develop technical skills
  • Analytical thinking and problem-solving
  • Collaboration and teamwork
  • Adaptability and attention to detail

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