Data Science & ML Engineer

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role:

Experience:

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About the Role:

Data Science & Machine Learning Engineer

Key Responsibilities:

  • Develop and maintain

    machine learning pipelines

    for time series analysis and prediction.
  • Perform

    data cleaning, transformation, and exploratory data analysis (EDA)

    on sensor data from power plant operations.
  • Design and train predictive models to forecast target values or trends (e.g., up, down, steady).
  • Conduct feasibility studies to assess prediction accuracy and performance.
  • Optimize models for

    real-time and near-real-time inference

    .
  • Collaborate with domain experts and software teams to integrate ML solutions into existing systems.
  • Document experiments, results, and performance metrics.
  • Evaluate different approaches (regression, classification, and sequence models like LSTM, Prophet, XGBoost).

Required Skills & Qualifications:

  • 5+ years of experience in

    Data Science, Machine Learning, or Predictive Analytics

    .
  • Strong knowledge of

    Python

    and ML libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
  • Expertise in

    time series forecasting techniques

    (ARIMA, Prophet, LSTM, GRU).
  • Proven experience building and deploying

    end-to-end ML pipelines

    .
  • Experience with

    real-time or near-real-time data

    (e.g., Kafka, Airflow, AWS Sagemaker, or Databricks).
  • Solid understanding of

    statistical modeling

    , data preprocessing, and feature engineering.
  • Strong problem-solving, analytical, and communication skills.

Preferred Skills:

  • Background in

    energy systems, IoT, or industrial data

    .
  • Familiarity with

    cloud platforms

    (AWS, Azure, or GCP).
  • Experience working with

    streaming data

    and

    containerized ML deployments

    (Docker, Kubernetes).

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