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.
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.
Position Overview:
As a Senior Machine Learning Engineer, you will be responsible for Demand Forecasting Engine (DFE) Feature Management and Model Evaluation. You will play a crucial role in designing, implementing, and optimizing machine learning solutions in production.
You will:
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Apply best practices in software design and participate in code reviews.
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Build and maintain a well-tested, well-documented codebase.
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Lead training sessions and present work to technical and non-technical audiences.
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Develop a strong understanding of business priorities and strategic goals, and leverage this knowledge when crafting solutions.
About You:
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Bachelor’s degree in a quantitative field (STEM) or equivalent experience
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6+ years of experience in end-to-end application development, data exploration, data pipelining, API design, and model latency optimization
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2+ years of experience deploying machine learning models to production, including monitoring and troubleshooting
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Proficiency in Java, Scala, and/or Python
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Strong understanding of Big Data technologies, including Hadoop, Kafka, and Spark
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Solid foundation in data analysis: cleaning, preprocessing, and visualization
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Proven ability to collaborate with data scientists, software engineers, and product managers to deliver scalable ML solutions
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Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives
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Self-driven, results-oriented, and able to meet tight deadlines
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Motivated team player who thrives in a collaborative global environment
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Good To have Skills:
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Extensive experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras)
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Expertise in developing highly distributed machine learning systems at scale
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Familiarity with Google Cloud’s Vertex AI and the broader Cloud ML ecosystem
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Experience mentoring junior team members in ML skills and career development
Know More About Us here:
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Life at Target- https://india.target.com/
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Benefits- https://india.target.com/life-at-target/workplace/benefits
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Culture- https://india.target.com/life-at-target/belonging
Top Skills
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more.
Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
