Description

Develop and deploy machine learning models to drive data-driven decision-making.

Responsibilities

• Clean and process large datasets through exploratory data analysis to identify trends and outliers.
• Design, build, and evaluate supervised and unsupervised machine learning models.
• Perform feature engineering and optimize hyperparameters to improve model accuracy.
• Deploy models into production and monitor performance, scalability, and reliability.
• Collaborate with data engineers and software developers to integrate ML solutions into production systems.

Required Skills

• 5+ years of experience in data science or machine learning roles.
• Proficiency in Python, R, or Java.
• Hands-on experience with TensorFlow, Keras, PyTorch, or Scikit-Learn.
• Strong knowledge of statistical modeling, probability theory, and mathematical optimization.
• Experience querying and handling large datasets using SQL and NoSQL databases.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Competency in classification, regression, clustering, dimensionality reduction, and time-series analysis.

Preferred Skills

• Familiarity with big data tools like Hadoop, Spark, or Kafka.
• Experience with deep learning, neural networks, or advanced NLP techniques.
• Knowledge of reinforcement learning and graph algorithms.

Key Skills

Education

Bachelor's degree in Computer Science