Sr Engineer-AI/ML
Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065, India
Target
Shop Target online and in-store for everything from groceries and essentials to clothing and electronics. Choose contactless pickup or delivery today.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 Target In India
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 in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Team Overview
Target Data Sciences is offering an exciting opportunity to solve state of the art problems in Promotions. Promotions are a critical lever in driving price perception and delivering exciting deals to our guests. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with pricing and promotions experience and engineering skills who can solutions at scale. If you are that person, you can expect to be involved in:·
Defining, developing and integrating modules for algorithmic decision making with the pricing systems.
Influencing roadmaps and driving its execution with a team of talented scientists.
Developing and integrating Data science models with Pricing platform and collaborating with engineers and science team to bring it to life.
Position Overview
As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial 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 in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
4 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 tools preferably Google Vertex ai
2 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
PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
Extensive experience developing highly distributed ML systems at scale
Familiarity with Vertex AI and Cloud ML ecosystem will be desirable
Experience in mentoring the junior team members ML skillset and career development
Know More About Us here:
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Big Data Computer Science Data analysis Deep Learning Engineering Hadoop Kafka Keras Machine Learning Mathematics MLOps PhD Physics PySpark Python PyTorch Scala Security Spark Statistics Streaming TensorFlow Vertex AI
Perks/benefits: Career development
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