Senior Machine Learning Engineer

Responsibilities:

Analyze and interpret complex data sets

Build, design, deploy, and maintain machine learning models and pipelines from scratch.

Train and fine-tune ML models using appropriate algorithms, techniques, and tools.

Continuously refine models and algorithms based on user feedback and performance metrics.

Collaborate with cross-functional teams to define ML solutions

Build and implement data visualization of reports and dashboards for management and business users and present insights to support stakeholders decision-making. Create summaries and reports highlighting key findings with a focus on market dynamics and industry trends.

Collaborate across teams to integrate and deploy models effectively.

Conduct evaluations to assess model performance.

Stay updated with the latest ML and AI technologies and best practices.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3-5 years of experience in data analysis and/or ML engineering.

• Strong proficiency in data analysis using Python and R.

• Experience with ML frameworks.

• Familiar with cloud environments (AWS/Azure/GCP).

• Excellent communication skills for presenting technical findings.