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Lead Engineer Tower 02, Manyata Embassy Business Park India
3 months ago
:The Lead Engineer will be responsible for designing, building, implementing, and maintaining GenAI platform infrastructure, pipelines, workflows and model inferencing APIs for complex GenAI use cases. It encompasses building the RAG, model garden, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. Need to build a highly scalable, event driven framework. Candidates having experience with building GenAI Ops, ML OPs platform is preferable. This role will require a good experience of API development, code management, data management, product development, and cloud computing.Technical skills:
Python, Java or Kotlin, SpringBoot, API development, Micro services, React.JS, Postgres, NoSQL, Kafka, Docker, CICD or similar tech stack to build the platformRoles and responsibilities:Build and maintain GenAI machine learning infrastructure that is scalable, reliable and efficient.
Write highly scalable APIs. Deploy and maintain machine learning models, pipelines and workflows in production environment.
Collaborate with data scientists and software engineers to design and implement machine learning workflows.
Implement monitoring and logging tools to ensure that machine learning models are performing optimally.
Continuously improve the performance, scalability and reliability of machine learning systems.
Work with teams to deploy and manage infrastructure for machine learning services.
Create and maintain technical documentation for machine learning infrastructure and workflows.
Stay up to date with the latest developments in technologies.
Required Skills:Bachelor's or Master's degree in computer science, engineering or related field.
9+ years of experience in software development, machine learning engineering.
Deep experience with Python, Java, Spring boot, microservices.
Experience in implementing end to end engineering applications using JVM languages. Prefer experience with Java or Kotlin or similar technologies..
Expert in building high-performance APIs.
Experience with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git.
Experience with Python.
Experience with GenAI or ML Ops is added advantage.
Experience with Front end applications using React.Js
Good to have some understanding of machine learning concepts and frameworks, deep learning, LLM etc.
Good to have some experience with MLOps platforms such as Kubeflow, MLFlow, Sagemaker etc.
Good to have experience in deploying machine learning models in a production environment.
Good to have experience with data streaming technologies such as Kafka, Kinesis, etc.
Strong analytical and problem-solving skills.
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