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Machine Learning Engineer

Machine Learning Engineer

Stacklebhopal, madhya pradesh, in
15 hours ago
Job description

Title : Machine Learning Engineer (AWS + MLOps + LLMs)

Location : Remote / Hybrid

About the Role

LowPropTax is looking for a Machine Learning Engineer who can manage the full ML lifecycle — from data preparation and model experimentation to cloud deployment and monitoring. You will build and scale ML systems using AWS tools, with a focus on Lambda, SageMaker, and Databricks.

Responsibilities

  • Design and automate end-to-end ML pipelines using AWS Lambda, SageMaker, and Step Functions.
  • Experiment with models including LLMs, regression, and classification tasks.
  • Use Databricks for feature engineering, model training, and performance tuning.
  • Deploy models to production environments with CI / CD automation.
  • Implement monitoring for accuracy, drift, and cost optimization.
  • Collaborate with data and backend teams to integrate ML systems with core business applications.
  • Document experiments, version models, and manage reproducibility.

Requirements

  • Strong Python programming experience (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow).
  • Proven experience writing and deploying AWS Lambda functions.
  • Experience with SageMaker, EC2, S3, IAM, and CloudWatch.
  • Solid understanding of data workflows using Databricks or Spark.
  • Familiarity with LLMs and prompt-based model fine-tuning.
  • Knowledge of CI / CD, Git, and Docker.
  • Good grasp of statistics, model evaluation, and performance metrics.
  • Preferred Skills

  • Experience building APIs for model inference.
  • Understanding of MLflow, DVC, or similar model tracking tools.
  • Hands-on experience with cost optimization in AWS ML workloads.
  • Familiarity with data governance and versioning best practices.
  • Ideal Profile

    This role blends data science experimentation with MLOps deployment. You’ll work on both — building models and running them in production.

    Compensation : Competitive, based on experience.

    Would you like me to make a shorter LinkedIn version (2-3 lines per section, punchier tone for posts and job boards)?

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    Machine Learning Engineer • bhopal, madhya pradesh, in