Overview

The Machine Learning Engineer is responsible for designing, developing, deploying,

Responsibilities

• Role Purpose
• The Machine Learning Engineer is responsible for designing, developing, deploying,
• and maintaining machine learning models and AI-driven solutions that solve complex
• business problems. The role involves working closely with data scientists, software
• engineers, and business stakeholders to transform data into scalable and productionready intelligent systems.
• Design, build, train, validate, and deploy machine learning models to address
• Collaborate with business stakeholders to understand requirements and translate
• Develop and maintain data pipelines to support machine learning workflows.
• Implement MLOps best practices for model deployment, version control,
• Work closely with engineering teams to integrate ML solutions into production
• Conduct exploratory data analysis and derive meaningful insights from large
• Ensure adherence to security, governance, and compliance standards in AI
• Support production issues and continuously improve deployed machine learning

Qualifications

• 5+ yrs of hands-on experience in developing, training, and deploying Machine
• Learning models in production settings.
• Robust proficiency in Python and Machine Learning frameworks such as Scikitlearn, TensorFlow, PyTorch, or Keras.
• optimization using structured and unstructured datasets.
• Exposure to cloud-based ML solutions (Azure, AWS, or GCP), MLOps practices,
• CI/CD pipelines, and model monitoring.
• Duties and Responsibilities