Description

You will build and deploy end-to-end machine learning pipelines and data analytics solutions for large-scale datasets.

Responsibilities

• Design and develop machine learning models and algorithms to solve complex business problems.
• Build end-to-end pipelines covering data collection, feature engineering, model training, and deployment.
• Clean, preprocess, and analyze data to ensure suitability for machine learning applications.
• Deploy models into production environments with a focus on scalability and maintainability.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Required Skills

• 5+ years of experience in machine learning engineering or related roles.
• Proficiency in Python or R.
• Hands-on experience with TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of SQL, Hive/Impala, and Hadoop.
• Experience with Spark, Kafka, and Java.
• Practical use of AWS, Azure, or GCP for model deployment.
• Working knowledge of Git and collaborative development practices.
• Solid understanding of statistical modeling and deep learning frameworks.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Key Skills

Education

Bachelor's degree