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Ascendion Engineering

Data/ETL Engineer

Ascendion Engineering

Hyderabad, Telangana, India · Jornada completa

Sé el primero en postularte

Experiencia
3+ años
Salario
Vacantes
1
Al corriente
Hace 2 horas
Modo de trabajo
En la oficina
Educación
Cualquier graduado
Elegibilidad
Any graduate degree holders are eligible to apply.
Reanudar
Se requiere solicitud

Dónde trabajarás

Descripción del trabajo

Role Overview

Ascendion Engineering Private Limited is seeking an experienced Data Scientist skilled in deep learning and cloud AI platforms to develop scalable, intelligent models. This role requires experience in healthcare or insurance sectors and practical knowledge of GCP tools such as Vertex AI and BigQuery.

Responsibilities

  • Develop and deploy deep learning models to address practical business challenges.
  • Perform thorough analysis of complex data sets and preemptively highlight potential issues.
  • Architect scalable data science solutions following Python and Object-Oriented Programming (OOP) standards.
  • Work collaboratively with multidisciplinary teams to implement AI-powered applications.
  • Utilize Google Cloud Platform services, focusing on Vertex AI and BigQuery.
  • Create and maintain data pipelines, optimize models, and oversee performance monitoring.

Qualifications

  • At least 3 years of direct experience in data science roles.
  • Expertise in deep learning techniques and neural network architectures.
  • Advanced proficiency with Python programming incorporating OOP concepts.
  • Strong analytical capabilities combined with effective problem-solving skills.
  • Practical experience managing and analyzing large-scale data sets.

Eligibility

Applicants must hold a graduate degree.

Work Environment

Location: Hyderabad, India. This is an onsite position.

About Ascendion Engineering

Ascendion Engineering Private Limited operates in India, delivering technology-led engineering services designed to meet business and industry demands. The company fosters a collaborative, professional setting that promotes learning and career advancement.

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