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Data Science Infrastructure Specialist
5 days ago
We strive to create a work environment that fosters innovation, creativity, and growth. As a Senior MLOps Engineer on our Data Science and Analytics Products team, you will have the opportunity to lead the transformation of our MLOps platform, enabling fast, scalable, and cost-effective machine learning model development and deployment.
Key responsibilities include:
- Designing and building infrastructure for our teams.
- Creating a roadmap with your manager to meet current and future needs.
- Collaborating with developers to make model training, development, and monitoring efficient.
- Staying up-to-date with MLOps, AI, and cloud computing trends, driving innovation throughout Truecaller.
Requirements include:
- 5+ years of experience in building and maintaining tools and platforms for feature engineering, model training, and deployment.
- Strong programming skills in Python and shell scripting.
- Knowledge of CI/CD pipelines, automation tools, and infrastructure as code.
- Expertise in machine learning frameworks, cloud platforms, and cloud-native tools.
- Excellent communication and collaboration skills, working across different teams and disciplines.
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