Senior Backend Engineer
Posted on :
30-07-2024
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1 Vacancy
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Job Description
Senior Backend Engineer (JD)
About Simplismart
A bit about our product Simplismart is an MLOps platform with 3 major suites:
Training suite: Assemble and train any model including LLMs vision audio tabular and tree models.
Deployment suite: Most companies fail to make models productionready. Our proprietary model deployment suite is 6x faster than HuggingFace s enterprise suite and 12x faster than. Users can easily deploy (autoscale) models trained on Simplismart (more optimised) import any model from HuggingFace or even a Pytorch/Tensorflow artefact: Tensorflow Pytorch ONNX JAX.
Observability suite: Monitor model health including load latency uptime data drift and concept drift.
This is an excellent opportunity for individuals looking to be part of a 0 1 10 in the next 2 years who want to experience what it is to build a product/business from scratch and hopefully start their own venture someday. Not so much for individuals who prefer stability over growth!
Job Description
This role requires a strong background in backend engineering and machine learning proficiency in relevant programming languages and tools a willingness to embrace challenges and a commitment to the best software development and testing practices. Additionally familiarity with cloud platforms and a dedication to staying current with industry trends are essential for success in this role.
Who are we looking for:
Python Experience: 5 years of experience with Python. Experience with Django is an added advantage.
Cloud Experience: You should be familiar with cloud computing platforms with a preference for expertise in AWS and knowledge of platforms like Google Cloud Platform (GCP) or Microsoft Azure.
Experience with Docker and Kubernetes: You should be proficient in Docker and Kubernetes.
TestDriven Development: Belief in and adherence to TestDriven Development practices is essential. This means writing tests before writing code to ensure the quality and correctness of your work.
Generative AI Experience: You must have knowledge of LLMs like Llama and Mistral and other Generative AI models like Whisper and Stable Diffusion.
Miscellaneous: You should also have knowledge of frameworks and tools such as the Django REST Framework FastAPI gRPC Protocol Airflow and Cloud Native Networking.
Good to Have:
Deep understanding of GPU Architecture: You should have a deep knowledge of GPU Architectures like A100 A10G and T4 chips. Experience with CUDA is a plus.
Familiarity with LLM optimization techniques: Good enough idea of optimisation techniques like Quantization speculative decoding continuous batching etc.
Responsibilities:
Design and Develop Scalable Machine Learning Systems: You will be responsible for collaborating with the tech team to design and build machine learning systems that are scalable and ready for production use from the start. This involves the endtoend development of machine learning models and pipelines. You should be able to deploy and benchmark an ML model in under 30 minutes.
Conduct Extensive Research: Youll need to stay current with the latest machine learning technologies and research to identify the best approaches and tools for the job.
Improve Metrics: You will develop strategies for improving metrics using realworld data. This likely involves optimizing and finetuning machine learning models to achieve better results.
Infrastructure Improvements: As part of the engineering team develop application layers on top of infrastructure components. This also includes designing and building server architecture setting up databases and managing server resources efficiently.
Why should you join SimpliSmart
Well lets break away from the conventional perks and instead focus on what you WON T experience here:
Legacy System Headaches: You wont have to endlessly grapple with outdated legacy systems that hinder your productivity and creativity.
Bossy Culture: At SimpliSmart we believe in collaboration and empowerment not hierarchy. You wont have a boss breathing down your neck but instead colleagues who support your growth.
Dark Circles: Late nights and overwork are not the norm here. We prioritize worklife balance ensuring you wont be sporting those tired dark circles under your eyes.
Stagnation: Say goodbye to redundant and stagnant tasks. We thrive on innovation and dynamic challenges that keep you engaged and motivated.
Hiring process:
Introduction call with Team Assignment Assignment discussion with the CTO Interview call with the CTO Introduction call with the CEO Final Offer
aws,django,python
Employment Type
Full Time
Key Skills
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