Senior Associate, Infrastructure Services Analyst

2 - 4 years

4 - 8 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Architect and deploy cloud infrastructure solutions that are secure, scalable, and optimized for AI and machine learning workloads.
  • Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
  • Building and optimizing distributed training platforms using cutting-edge technologies
  • Implementing and maintaining containerized AI environments using Docker and Kubernetes
  • Optimizing maximum GPU utilization and performance
  • Developing platform software to support AI/ML workflows
  • Collaborating with AI researchers to implement efficient training and inference pipelines
  • Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
  • Design and implement continuous integration and delivery pipelines for AI applications.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks.
To be successful in this role, we re seeking the following:
  • Technical Expertise: Graduate/Masters - Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science
  • Years of Experience 5+ experience of software engineering experience with a focus on infrastructure and systems.
  • Proven expertise in deep learning, with a strong understanding of Generative AI models along with AI Infrastructure components
  • Demonstrate programming skills in Python, C++, and CUDA, with deep learning frameworks (PyTorch, Transformers)
  • Have a deep understanding of neural network architectures and training methodologies
  • Exhibit expertise in GPU programming and optimization
  • Have experience with container technologies (Docker, Kubernetes), distributed systems and cloud computing
  • Have experience building large-scale distributed systems and optimizing neural network performance
  • knowledge of software development methodologies, such as Agile or Scrum.
  • Familiarity with software engineering principles and microservices architecture is highly desirable.
  • Communication Skills: Excellent written and verbal communication for presenting complex technical concepts to both technical and non-technical stakeholders.

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