Description

You will design, build, and deploy machine learning models and applications to meet business requirements. You will own the full lifecycle from data preparation to model deployment.

Responsibilities

• Lead development and deployment of advanced machine learning models using Python.
• Implement algorithms including linear regression, logistic regression, decision trees, and clustering.
• Clean, transform, and normalize data to support model training and analysis.
• Collaborate with cross-functional teams to deliver data-driven solutions aligned with business processes.
• Communicate technical findings to stakeholders using data visualization tools.

Required Skills

• Minimum 3 years of experience in Machine Learning.
• Proficiency in Python, including Pandas, NumPy, and Scikit-learn.
• Strong understanding of statistical analysis and diverse machine learning algorithms.
• Practical knowledge of data munging, including cleaning, transformation, and normalization.
• Experience with data visualization tools such as Tableau or Power BI.
• Any Graduate degree in statistics, mathematics, computer science, or a related field.

Preferred Skills

• Experience with TensorFlow and Natural Language Processing (NLP).
• Knowledge of Big Data technologies.

Key Skills

Education

Any Graduate