Flipkart Platform Architect Machine Learning Models
4 weeks ago
As a Platform Architect for Machine Learning Models at Flipkart, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. You will lead a team of technical professionals, providing guidance, mentorship, and support to ensure successful project delivery.
Key Responsibilities- Design and construct platform tools for deploying sophisticated machine learning models.
- Refine and update existing systems to drive greater productivity for Data Scientists at Flipkart.
- Build platform solutions to support adoption and quick productization of Data Science solutions.
- Develop services on top of Computer Vision and Natural Language capabilities developed by Flipkart Data Scientists.
- Develop a self-serve platform to allow Data Scientists to manage training, retraining, deployment, scheduling, monitoring, and improvement of ML models.
- Work on problems such as Data Version Controller, Experiment Tracking, Data Labeling, Active Learning, training large language models, building a cluster of GPUs optimized for inferring and training needs, both.
- Explore and conduct PoC using open source frameworks, AZURE, and GCP offerings on Data Science.
- Technical expertise in software development methodologies, technologies, and best practices.
- Proficiency in programming on either Python or Java.
- Experience developing REST APIs, SDKs using Python or Java.
- Proficiency at developing containerized applications leveraging Docker, Kubernetes, or related container stack.
- Champion of SDLC practices.
- Understanding of application development, infrastructure management, data engineering, and platform constructs.
- Awareness of the Machine Learning/Deep Learning development life cycle covering aspects of EDA, Model development, (re)training, and inference pipelines.
- Experience with Deep Learning tools and libraries such as TensorFlow, Keras, and PyTorch.
- Exposure to Data Preparation needs for different use cases. Data preparation involves tasks such as data cleaning, data transformation, feature engineering, and data integration.
- Knowledge of storage systems and different Database systems.
- Hustler, tinkerer with open source frameworks.
- Bachelors in Computer Science or related field.
- Must have taken up courses on Machine Learning/Deep Learning/MLOps or possess a Masters in Data Science or related field.
- Demonstrable industry or academic experience with Machine Learning/Deep Learning domain. A GitHub repository showcasing portfolio of work on ML/DL Engineering.
At Flipkart, we promise to maximize what you care about the most. You'll get an opportunity to leave a mark and create your own legacy, you'll have freedom to experiment, learn, and grow, you'll get to work with the best in our inclusive teams, and experience our culture of care to ensure that you can focus on doing your best work.
We understand that your own aspirations and journeys are unique. So you choose what you want to maximize, and we provide you the platform for it. Because when you maximize, we maximize.
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