Lead Engineer - Java & ML

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Job Id: R0000385483

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey.

Roles and responsibilities:

  • Build and maintain Machine learning infrastructure that is scalable, reliable and efficient.
  • Familiar with Google cloud infrastructure and MLOPS
  • 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.

Tech stack: GCP cloud skills, Machine learning engineer skills, Python, Microservices, API development Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, Addon (Java + Spring boot)

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, API development, microservices.
  • Good to have skills in implementing end to end engineering applications using JVM languages. Prefer experience with Java, Spring boot.
  • Expert in building high-performance APIs.
  • Experience with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git.
  • Experience with GCP ML Ops is required.
  • 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

Competitive benefits

We are proud to provide benefits that support you, your family and your future.

Health and well-being

Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support.

Financial well-being

Your financial well-being is bright with TII's comprehensive flexible insurance program, learning assistance program, day care support and much more.

Paid time off

TII encourages work-life balance with paid time off like privilege, bereavement and parental leaves that offer support in all stages of life.

Competitive pay

TII knows our people are everything and proudly provides equitable and competitive pay.

Other benefits

From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks.

Creating a culture of joy

We bring out the best in each other every day.

A group of Target team members giving each other a thumbs up as they huddle in the back of the store.

Inclusivity

We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all.

Connection

We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress.

Drive

We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Grow with Target

We are fully invested in your personal and professional growth because our people are our power. 

Target's leadership truly empowers personal and professional growth, fostering an environment where we care, grow and win together.

Sandeep Sr. Engineering Manager – Target Tech, Corporate

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