49 Talent Socio Jobs
MLOps Engineer (3-5 yrs)
Talent Socio
posted 4d ago
Flexible timing
Key skills for the job
Responsibilities :
- Develop, productionize, and deploy scalable, resilient software solutions to integrate and operationalize AI and ML capabilities.
- Adhere to software architecture and software design best practices to write scalable, maintainable, well-designed code.
- Develop automated end-to-end ML delivery pipelines; enabling model training, evaluation, tracking, and serving.
- In collaboration with Data Engineering, design and build feature engineering pipelines for extraction, transformation, and loading of data from a variety of data sources for ML models.
- Advocate for AI security and responsibility best practices. Enable monitoring and observability capabilities for the delivery teams.
- Stay current on new developments in ML frameworks, tooling, data modeling, software architecture, and libraries available for solution development.
- Coach data scientists and data engineers on software development best practices.
- Agile Project Work.
- Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions.
- Act as a positive champion for broader organizations to develop a stronger understanding of software design patterns that deliver scalable, maintainable, well-designed analytics solutions.
- Acts as an expert on complex technical topics that require cross-functional consultation.
Requirements :
- Experience applying continuous delivery best practices, including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e. g., Azure DevOps, CircleCI).
- Experience deploying and operating scalable, reliable, and secure software solutions on modern clouds (AWS, Azure, GCP) and container platforms (Docker, Kubernetes, etc. ).
- Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data scientists.
- Familiar with cloud data warehousing solutions such as Snowflake, BigQuery, Fabric, etc.
- Experience with popular MLOps tools (e. g., Kubeflow, MLflow, AzureML, Domino).
Preferred :
- Experience with deep learning platforms and frameworks (e. g. TensorFlow, Keras, etc. ).
- Experience working in Data Architecture, engineering, and ETL teams, managing implementation of projects that utilize big data, advanced analytics, and machine learning technologies.
- Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
- Demonstrated experience in teaching and/or mentoring profile.
Functional Areas: Other
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