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.
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 different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Overview about TII
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different 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.
Pyramid overview
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Team Overview
As
Lead AI Engineer
, you will join a Target Tech team responsible for building and
scaling Pricing solutions.
You will play crucial lead role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, you'll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About You
4-year degree and/or a Masters in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
6-plus years of experience in
end-to-end application development
,
data exploration,
data pipelining, API design, optimization of model latency
Expertise in
MLOps frameworks
and hands on experience in
MLOps platforms
and tools preferably
Google VertexAI, MLFlow
etc.
4-plus years of experience deploying
Machine Learning algorithms
into production environments - including model and system monitoring and troubleshooting
Highly proficient programming in
Scala and/or Python/Pyspark
Good understanding of
Big Data tech
- specifically
Hadoop, Kafka, Spark
Experience in handling streaming data and real-time forecasting solutions deployment
Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization
Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented - able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team
Understanding of retail industry and pricing concepts is added advantage
Bonus Points:
Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras
Masters/PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
Extensive experience developing highly distributed ML systems at scale
Deep expertise with Vertex AI and Cloud ML ecosystem will be desirable
Experience in mentoring the junior team members ML skillset and career development
Target will never ask you to submit personal information via a text message for a position. Target will only ask you to apply for positions through indiajobs.target.com, corporate.target.com/careers, or Workday, our applicant tracking system.
Learn more
Competitive benefits
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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, National Pension System, learning assistance program, day care support and much more.
Paid time off
TII encourages work-life balance with paid time off like privilege, casual, 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.
Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change.
Creating a culture of joy
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We bring out the best in each other every day.
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.
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