Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
About the role
- Senior Machine Learning Engineer building and scaling machine learning systems for Viu’s OTT platform. Involves end-to-end ML workflows and collaboration with cross-functional teams.
Responsibilities
- Create scalable machine learning models to support a variety of product, user, and business use cases.
- Adapt end-to-end analytics workflows: identify, collect, clean, and process data, build predictive models, and present actionable insights.
- Implement CI/CD practices to ensure model reproducibility, traceability, and scalability.
- Improve ML observability, model evaluations, monitoring, and debugging tools to ensure reliability of deployed models.
- Collaborate with team members and cross-functional partners to operationalize models and integrate them seamlessly into production workflows.
- Translate ambiguous business problems into measurable ML solutions.
- Serve as a key thought partner for stakeholders regarding machine learning algorithms, system architectures, and best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
- 5+ years of full-time work experience in one or more relevant machine-learning roles.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes) and CICD tools.
- Solid understanding of distributed computing, data pipelines, and microservices.
- Proven ability to design, deploy, and maintain production-scale ML systems.
- Experience with large-scale systems, streaming data platforms, and real-time inference.
- Experience with LLMs, foundation models, or retrieval systems.
- Familiarity with data engineering tools (Spark, BigQuery, Snowflake, Databricks).
- Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is preferred.
- Strong ability to communicate complex technical concepts clearly to diverse audiences.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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