Hi,

PFB Job description, kindly connect and let me know if interested or Share your CV on [email protected] or if you have any references it will be helpful.

Responsibilities:
- Collaborate with business stakeholders to understand problem statements and translate them into analytical solutions.
- Design, develop, and deploy predictive models including classification, regression, clustering, and time-series forecasting models.
- Perform exploratory data analysis (EDA), data cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
- Apply statistical techniques including hypothesis testing and experimental design to validate insights and model performance.
- Work closely with data engineers to build and maintain scalable data pipelines and ensure effective data processing.
- Deploy machine learning models into production environments using APIs and containerization technologies.
- Implement MLOps best practices including model versioning, monitoring, CI/CD integration, and model registries.
- Utilize cloud platforms such as Azure, AWS,



or GCP for model training, deployment, and scaling.
- Develop interactive dashboards and visualizations using tools such as Power BI, Tableau, Matplotlib
- Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data storytelling.
- Stay updated with the latest advancements in machine learning, AI, and data science methodologies to drive innovation.

Requirements:
- Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 4–6+ years of relevant experience in data science, machine learning, or applied statistics.
- Strong programming proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) and/or R.
- Experience building and validating predictive models (classification, regression, clustering, time-series).
- Strong understanding of statistics, hypothesis testing, and e

📌 Ai Ml Engineer (Delhi)
🏢 PwC
📍 Delhi