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117 Target Jobs

Sr. Engineer- MLOps

4-9 years

₹ 19.2 - 42L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Sr. Engineer- MLOps

Target

posted 10d ago

Job Description

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
 
About The role
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.

Employment Type: Full Time, Permanent

Read full job description

Target Interview Questions & Tips

Prepare for Target Senior Engineer roles with real interview advice

Top Target Senior Engineer Interview Questions

Q1. What is the role of exception handling in programming, and how is the 'finally' block used in this context, as well as the process of throwi ... read more
Q2. What are the ACID properties implemented in your project, and can you provide a brief overview of the CAP Theorem?
Q3. What is the difference between Comparable and Comparator in Java? And how to Implement in Collections.
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What people at Target are saying

4.5
 Rating based on 29 Senior Engineer reviews

Likes

Good opportunity to work on new technologies, explore options, try out new architectures. Good work life balance.

  • Salary - Excellent
  • +5 more
Dislikes

Growth is super difficult, almost astronomical. Lateral hires can grow but long timers find it difficult.

  • Promotions - Poor
Read 29 Senior Engineer reviews

Senior Engineer salary at Target

reported by 265 employees with 3-13 years exp.
₹17.8 L/yr - ₹45.2 L/yr
285% more than the average Senior Engineer Salary in India
View more details

What Target employees are saying about work life

based on 658 employees
84%
89%
74%
98%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Target Benefits

Submitted by Company
Learning assistance program
Health Insurance
Job Training
Employee engagement
Submitted by Employees
Free Food
Cafeteria
Work From Home
Health Insurance
Team Outings
Free Transport +6 more
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Target Bangalore / Bengaluru Office Locations

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Bengaluru Office
Headquarter
Target Corporation India, Nagavara Bengaluru
Karnataka 560045
Bengaluru Office
Target Corporation India Limited, Embassy Golf Links Business Park, Challaghatta Bengaluru
Karnataka 560071

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