Description

Build and deploy machine learning models to solve complex business problems.

This role is hybrid.

Responsibilities

• Collect, clean, and preprocess large datasets from multiple sources.
• Build predictive and prescriptive machine learning models using statistical techniques.
• Develop and deploy data models and automation pipelines in production environments.
• Perform exploratory data analysis (EDA) to uncover insights and trends.
• Communicate findings through dashboards, reports, and visualizations.

Required Skills

• 4+ years of experience in data science or analytics.
• Strong proficiency in Python, R, and SQL.
• Experience with Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in data manipulation libraries (Pandas, NumPy).
• Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
• Knowledge of big data technologies (Spark, Hadoop).
• Familiarity with model deployment (Flask, FastAPI) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistics and feature engineering.

Preferred Skills

• Experience with NLP, Computer Vision, or Generative AI projects.
• Familiarity with AutoML tools and advanced statistical modeling.

Key Skills

Education

Any Graduate