Description

You will build, deploy, and optimize enterprise-scale machine learning and data science solutions.

Responsibilities

• Implement end-to-end data science and machine learning solutions aligned with business objectives.
• Develop predictive models, recommendation engines, and advanced analytics solutions.
• Build and manage scalable ML workloads in cloud environments.
• Collaborate with engineering and business stakeholders to translate requirements into scalable data science solutions.
• Evaluate and adopt new data science and machine learning techniques to drive innovation.

Required Skills

• 10+ years of experience in data science, analytics, or related technical roles.
• Strong programming expertise in Python.
• Hands-on experience with GCP services including BigQuery, Dataflow, Dataproc, or similar cloud platforms.
• Experience deploying machine learning models in scalable production environments.
• Proficiency with big data and orchestration tools such as BigQuery, Dataflow, Dataproc, Ai Platform, and Airflow.
• Proven track record delivering production-grade data science solutions with measurable business impact.
• Master's or PhD in Computer Science, Statistics, Mathematics, or related field.
• Excellent communication and collaboration skills in enterprise environments.

Key Skills

Education

Any Graduate