Design and Deliver AI-Driven Solutions

4 days ago

Delhi, Delhi, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Machine Learning Infrastructure Specialist

About the Role

This position requires a skilled professional to design, build, and maintain infrastructure and pipelines that power machine learning models and data processing workflows. As a Machine Learning Infrastructure Specialist, you will play a critical role in driving the success of our machine learning initiatives.

The ideal candidate will have expertise in Python, cloud technologies, and associated frameworks. You will be responsible for designing and building robust and efficient code for machine learning models and data pipelines using Python and associated frameworks.

  • Key Responsibilities:
  • Design and build infrastructure as code using tools such as Terraform or equivalent, ensuring scalable and reliable deployment of resources.
  • Implement CI/CD pipelines using technologies like Tekton, Jenkins, GitActions, or GCP Cloud Functions, ensuring smooth and automated software delivery.
  • Develop API services to enable seamless integration of machine learning models and pipelines into various applications and platforms.
  • Elevate MVP/PoC solutions to production-level services and mature products.
  • Conduct end-to-end testing across all stages of development to ensure first-time-right implementations.
  • Manage deployment platforms for various machine learning models, ensuring modularity and efficiency.
  • Integrate machine learning features into large-scale products and platforms, collaborating with cross-functional teams.
  • Create and manage large-scale data transformation pipelines, enabling efficient data processing and analysis.
  • Orchestrate pipelines using tools like Airflow and Kubeflow, both for structured and unstructured data workflows.
  • Develop an EDA (Exploratory Data Analysis) automation framework that can be leveraged at scale for data insights.
Requirements

To be successful in this role, you should have:

  • Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) with expertise in components such as Astronomer, SQL, Pyspark, Scikit, Github, and VertexAI.
  • At least 3+ years of experience in Python programming, with a strong understanding of its libraries and frameworks.
  • Proven ability to convert complex requirements into practical technical solutions.
Benefits

You will have opportunities to grow your skills, collaborate with a dynamic team, and make a meaningful impact on our machine learning initiatives.

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