Senior Software Engineer

4 weeks ago


Bangalore, India Zyoin group Full time

We are seeking a highly experienced Senior Software Engineer with expertise in Machine Learning (ML) Infrastructure to join our team.

- The ideal candidate will have a strong background in designing large-scale and production ML infrastructure systems or distributed systems.

- This role requires deep knowledge of building distributed systems or recommendation infrastructure, proficiency in at least one programming language (Java, C++, Python), and a good understanding of system architecture.

- The Senior Software Engineer will contribute to the design and development of ML infrastructure, big data technologies, streaming architecture, data pipelines, and more.

- Experience with Kubernetes, ML offerings from AWS and GCP, and ML model serving complexities are preferred.

- A BS degree (or higher) in Computer Science or a related field is required.

Key Responsibilities:

Design and Develop ML Infrastructure:

- Design, architect, and develop large-scale ML infrastructure systems for production environments.

- Contribute to the development of distributed systems or recommendation infrastructure.

System Architecture:

- Apply a deep understanding of system architecture principles to design robust and scalable ML infrastructure solutions.

- Collaborate with cross-functional teams to ensure alignment with overall system architecture goals.

Big Data Technologies and Streaming Architecture:

- Leverage expertise in big data technologies and streaming architecture to build efficient data pipelines and processing systems.

- Optimize data ingestion, storage, and processing mechanisms for performance and scalability.

Cloud Platform Experience:

- Work with Kubernetes for container orchestration and deployment.

- Utilize ML offerings from AWS and GCP to leverage cloud-based ML capabilities.

ML Model Serving:

- Handle complexities of ML model serving using frameworks such as TorchServe, TensorFlow Serving, NVIDIA Triton Inference Server, etc.

- Optimize model serving performance and efficiency through hardware accelerator libraries like Cuda and Quantization.

Research and Development:

- Stay updated with the latest advancements in ML infrastructure technologies and contribute to research and development efforts within the team.

Required Skills and Qualifications:

- 5+ years of relevant industry experience in designing large-scale and production ML infrastructure systems or distributed systems.

- Deep knowledge of building distributed systems or recommendation infrastructure.

- Proficiency in at least one programming language: Java, C++, Python.

- Strong understanding of system architecture principles.

- Experience with big data technologies, streaming architecture, and data pipelines.

- Working experience with Kubernetes and ML offerings from AWS and GCP is preferred.

- Experience in complexities of ML model serving and hands-on experience with model/hardware accelerator libraries is preferred.

- Bachelor's degree (or higher) in Computer Science or a related field.

(ref:hirist.tech)

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