Senior AI Engineer

Senior AI Engineer

ZS.com

Hybrid

Hexjobs Insights

Role: Senior AI Engineer. Responsibilities include developing AI pipelines, implementing IaC, leading a team, and optimizing models. Requirements: Bachelor's degree, 4+ years experience, proficiency in Python and AI libraries.

Schlüsselwörter

AI pipelines
machine learning
DevOps
Python
SQL
TensorFlow
PyTorch
cloud platforms
Docker
Kubernetes

Technologies we use

Your responsibilities

  • Collaborate with data scientists, machine learning engineers, and DevOps teams to create robust, scalable, and reliable AI pipelines.
  • Design, Develop and maintain automated processes for model training, deployment, and inference, ensuring best practices for model versioning, monitoring, and automated scaling.
  • Implement infrastructure as code (IaC) principles to create reproducible AI environments and integrate AI pipelines into continuous integration and continuous deployment (CI/CD) workflows.
  • Ensure seamless and secure deployment of AI models into production environments.
  • Implement monitoring solutions to track model performance, detect data drift, and maintain data quality.
  • Design and implement deep learning algorithms and neural networks for tasks such as image recognition, natural language processing (NLP), and speech recognition.
  • Troubleshoot and optimize AI pipelines for efficiency, reliability, and compliance with industry standards (e.g., GDPR, HIPAA).
  • Lead and mentor a team of junior AI Ops Engineers, providing technical guidance on AI Ops frameworks, deployment strategies, and observability.
  • Foster a culture of continuous learning and innovation within the team, encouraging the exploration of new technologies and best practices.
  • Collaborate with business stakeholders to understand AI project objectives and communicate progress and performance effectively.

Our requirements

  • A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
  • Minimum of 4 years of professional experience in AI Ops, machine learning, and DevOps.
  • Preferred certifications in AI, machine learning, and cloud platforms (e.g., AWS, Azure, GCP).
  • Proficiency in Python, SQL, and relevant AI libraries (e.g., TensorFlow, PyTorch).
  • Familiarity with cloud platforms (e.g., GCP, AWS) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and ability to work in a collaborative environment.
  • Proven track record of designing, implementing, and optimizing end-to-end AI pipelines.
  • Demonstrated leadership experience, preferably leading small teams of engineers.
  • Strong communications skills.

What we offer

Aufrufe: 8
Veröffentlichtvor 30 Tagen
Läuft abin etwa 7 Stunden
ArbeitsmodusHybrid

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