- Design, develop, test, deploy and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Develop machine learning models using PySpark and Python libraries like scikit-learn or TensorFlow.
- Troubleshoot issues related to data processing, model deployment, and system performance.
Job Requirements :
- 8-12 years of experience in IT Services & Consulting industry with expertise in ML Engineer role.
- Robust understanding of AWS services including S3, Lambda, Step Functions, REST APIs etc. .
- Proficiency in programming languages such as Python with experience working on projects involving machine learning algorithms (e.g., retrieval augmented generation).
- Experience with containerization using Docker containers.
📌 Databricks + AI ML Ops (Bengaluru)
🏢 Marconix
📍 Bengaluru
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