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Machine Learning Engineer(Freelance | WFH)

3 years

0 Lacs

india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

learning ml ai design optimization data training evaluation model drift engineering tensorflow pytorch mlflow airflow sagemaker vertex python flexibility saas automation finance

Work Mode

Remote

Job Type

Part Time

Job Description

About BeGig

BeGig connects founders with experienced ML engineers who build production-grade AI models and pipelines.


Your Opportunity

Join BeGig as a Machine Learning Engineer and design, train, deploy, and maintain ML models that solve real business problems.


Role Overview

As a Machine Learning Engineer, you will:

  • Build and deploy ML models for prediction, classification, optimization, or generation.
  • Work on end-to-end ML pipelines: data prep → training → evaluation → deployment.
  • Implement RAG, embeddings, and LLM-powered workflows when required.
  • Monitor model performance, drift, and reliability.
  • Collaborate with data, product, and engineering teams.


Technical Requirements & Skills

  • Experience: 3+ years in ML engineering.
  • Tools: TensorFlow, PyTorch, scikit-learn.
  • Infra: MLflow, DVC, Airflow, SageMaker, Vertex AI.
  • Languages: Python + strong understanding of data structures.
  • Concepts: Deep learning, feature engineering, model optimization.


What We’re Looking For

  • Engineer comfortable taking ML models into production.
  • Strong analytical thinker who understands model limitations.
  • Adaptable to fast-evolving AI tooling.


Why Join Us?

  • Impact: Build AI systems that directly impact business outcomes.
  • Flexibility: ML roles across SaaS, automation, finance, and enterprise systems.


Growth: Work with top-level ML engineers and AI teams.

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