Lead Engineer

About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win

Short Summary: 

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 platform

Roles 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.

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion