Job Location: Chennai
What you ll be doing…
- Optimizing the Machine Learning Models.
- Building the model artifact packages on dockerizing the model.
- Working with stakeholders to understand requirements and effectively prioritizing for implementation.
- Building secure, scalable, and stable Model Inferncing solution using K8S, APIGEE.
- Driving the technical design and implementation of large scale data platforms, reusable data products and business ready data by utilizing modern and open source technologies, in a hybrid cloud environment.
Where youll be working:
In this hybrid role, youll have a defined work location that includes work from home and assigned office days set by your manager.
What we re looking for…
You ll need to have:
- Bachelor s degree or four or more years of work experience.
- Four or more years of relevant work experience.
- Knowledge of Enterprise Cloud platforms.
- Knowledge on Machine Learning Model Development Life cycle.
- Experience on Machine Learning model Development.
- Experience in Python, Flask/Gunicorn/FastAPI, Linux, ESPX Scheduling, Hadoop.
Even better if you have:
- BE, B.Tech, M Sc., ME, M.Tech or any other bachelor degree with good academic performance.
- Experience in Kubernetes, Docker, ELK Stack, or PySpark.
- Excellent oral and written communication skills.
- Analytical and problem-solving skills with strong attention to detail.
- Knowledge of Telecom domain and the whole SME.
- Designed an operating model that fosters reuse and sharing of Reusable assets.
- Experience presenting to and influencing functional leaders and stakeholders.
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