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Engineering Manager Python Machine Learning

9-11 Years
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  • Posted 8 days ago
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Job Description

About Company:

Our client organization's mission is to empower people to participate in global conversations through communities. They are responsible for the consumer-facing application on the Web, Android, and iOS platform. In this role, you'll work with a specific team within this organization to drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

Poster Experience specifically focuses on the user journey, which is the main source of user content for the product. We aim to make it easier, faster, and smarter to create and participate in conversations, and we drive several core product metrics for the entire ecosystem.

This specific role will involve migrating legacy Python microservice code to one or more existing Go microservices. Successful candidates have prior experience in these migrations at large scale (think millions of actions per day) and understand how to instrument and monitor their code for parity and consistency during rollout.

Job Description:

Job Title: Engineering Manager Python Machine Learning

Location: Pan India

Experience: 9+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles and Responsibilities:

  • 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
  • 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments.
  • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
  • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
  • Excellent leadership, communication, and cross-functional collaboration skills.
  • Bachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred).

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Job ID: 144846445