Sr. Engineering Manager
Sr. Engineering Manager
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Job Description
- Strong programming skills particularly in Python with experience in ML frameworks like TensorFlow or PyTorch.
- Proven expertise in MLOps best practices including model versioning monitoring automated deployment and infrastructure automation.
- In-depth knowledge of Google Cloud Platform services includingData Fusion Dataproc Dataflowfor data processing and pipeline orchestration.
- Experience working withPostgreSQLdatabases and data integration tools likeQlik Replicate.
- Expertise in security and privacy considerations for machine learning systems including data encryption access control and compliance with regulations such as GDPR and HIPAA.
- Strong communication and leadership skills capable of engaging both technical and non-technical stakeholders effectively.
Responsibilities
You will develop and execute a comprehensive technical strategy encompassing architecture design implementation and operation of end-to-end ML lifecycle and experimentation capabilities. Leading a high-performing team you will take ownership of deliverables foster a culture of continuous learning and innovation and participate hands-on in coding code reviews troubleshooting and mentoring. Your role will include creating and maintaining scalable MLOps frameworks and infrastructure to support the full machine learning pipelinefrom data ingestion and processing through model deployment and monitoring.
You will collaborate closely with data scientists data engineers software developers and business stakeholders to ensure robustness scalability and performance in integrating ML models into production. Implementing rigorous security best practices to maintain compliance with industry standards and regulations is essential. Additionally you will maintain thorough technical documentation guidelines and knowledge-sharing resources.
Qualifications
- Bachelors degree in Computer Science Engineering or related field.
- 5 years managing software engineering or MLOps teams.
- 3 years hands-on experience deploying and managing machine learning models in production.
- 14 years overall IT industry experience.
- Relevant certifications in MLOps Cloud platforms (especially GCP Professional Machine Learning Engineer or Data Engineer).
Required Experience:
Manager
Employment Type
Full-Time
