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Consultant- Machine Learning Engineer

  • Full Time
  • On-Site - Mumbai
  • 2 months
  • Project posted on: 8/05/2026
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Consultant- Machine Learning Engineer

  • Data and Analytics
  • Data Science
  • Machine Learning & Predictive Modeling
  • Data Visualization & Reporting/Dashboarding

On-Site - Mumbai

Full Time

2 months

 8/05/2026

Assignment Details

Key Responsibilities

 

  • Develop, train, validate, and deploy machine learning models for predictive analytics and forecasting use cases.
  • Design and implement scalable data pipelines and preprocessing workflows for structured and time-series datasets.
  • Build forecasting models using advanced statistical and machine learning techniques to improve business planning and operational efficiency.
  • Perform exploratory data analysis (EDA), feature engineering, and model optimization to enhance model performance and accuracy.
  • Utilize gradient boosting frameworks such as LightGBM and XGBoost for predictive modeling and performance tuning.
  • Develop and maintain large-scale time-series forecasting solutions using libraries such as Statsforecast and MLforecast.
  • Collaborate with cross-functional teams including business stakeholders, data engineers, and product teams to translate business requirements into ML solutions.
  • Monitor model performance, conduct validation testing, and ensure continuous improvement through retraining and optimization.
  • Create meaningful visualizations and dashboards to communicate insights, model outputs, and business recommendations effectively.
  • Ensure best practices in code quality, documentation, experimentation, version control, and deployment processes.

Skills Required

Skills and Experience

 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 3–7+ years of experience in Machine Learning, Predictive Analytics, or Data Science roles.
  • Strong programming expertise in Python for machine learning and statistical modeling.
  • Hands-on experience with:
    • Pandas and NumPy for data manipulation
    • Scikit-learn for preprocessing, feature engineering, and model evaluation
    • LightGBM and XGBoost for machine learning models
    • Statsforecast and MLforecast for scalable forecasting solutions
    • Matplotlib and Seaborn for data visualization
  • Strong understanding of statistical concepts, machine learning algorithms, and model evaluation techniques.
  • Experience working with time-series forecasting and predictive modeling.
  • Knowledge of model deployment workflows and production ML environments.
  • Strong analytical, problem-solving, and communication skills.

About the Client

A leading firm which deal into automobile industry and finance company

Industry

Professional Services - Data Analytics

Experience Required:

4+ years

Additional Skills:

  • Data mining
  • Numpy
  • Machine Learning
  • Matplotlib
  • MLforecast
  • Artificial Intelligence (AI)
  • Data Visualization
  • LightGBM
  • AI/ML
  • Pandas

No of open positions:

1

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