Data Scientist

4 weeks ago

Hyderabad, Telangana, India Deltacubes Pvt Ltd Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Deltacubes Pvt Ltd. As a key member of our organization, you will be responsible for designing and implementing cloud solutions, building MLOps pipelines on cloud platforms, and taking ownership of data pipeline and engineering infrastructure design to support enterprise machine learning systems at scale.

Key Responsibilities
  • Manage cloud-based infrastructure on AWS and Azure, focusing on scalability and efficiency.
  • Utilize containerization technologies like Docker and Kubernetes for application deployment.
  • Monitor and maintain network infrastructure, ensuring optimal performance and security.
  • Implement load balancing solutions for efficient traffic distribution.
  • Design and implement cloud solutions, including the development of MLOps pipelines.
  • Ensure proper provisioning, resource management, and cost optimization in a cloud environment.
  • Orchestrate CI/CD pipelines using GitLab CI and GitHub Actions for streamlined software delivery.
  • Collaborate with data scientists and engineers to operationalize and optimize data science models.
  • Apply software engineering rigor, including CI/CD and automation, to machine learning projects.
  • Design and develop data pipelines and engineering infrastructure to support enterprise machine learning systems.
  • Transform offline models created by data scientists into production-ready systems.
  • Build scalable tools and services for machine learning training and inference.
  • Identify and evaluate new technologies to enhance the performance, maintainability, and reliability of machine learning systems.
  • Develop custom integrations between cloud-based systems using APIs.
  • Facilitate the development and deployment of proof-of-concept machine learning systems.
Requirements
  • Strong software engineering skills in complex multilanguage systems.
  • Proficiency in Python and comfort with Linux administration.
  • Experience working with cloud computing and database systems.
  • Expertise in building custom integrations between cloud-based systems using APIs.
  • Experience with containerization (Docker) and Kubernetes in cloud computing environments.
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
  • Ability to translate business needs into technical requirements.
  • Strong understanding of software testing, benchmarking, and continuous integration.
  • Exposure to machine learning methodology and best practices.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Keras, etc.).
What We Offer

We offer a collaborative environment where you can contribute to innovative projects and drive technological excellence across our organization.

Remote Work : No

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