Artificial Intelligence Infrastructure Specialist

2 days ago

Hyderabad City Taluka, Pakistan beBeeAIops Full time 900,000 - 1,200,000

Job Title: AI Operations Engineer

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The role focuses on deploying machine learning models, automating CI/CD pipelines, and implementing AIOps solutions.

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This position involves working with data scientists to transition machine learning models from experimentation to production environments.

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You will use tools such as Docker, Kubernetes, MLflow, or Kubeflow to deploy, monitor, and maintain scalable ML systems.

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An important aspect of this job is maintaining reproducibility and traceability of ML experiments and outputs.

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You will design and implement AIOps frameworks to enable predictive monitoring, anomaly detection, and intelligent alerting.

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Leverage observability tools to collect and analyze infrastructure and application metrics.

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Utilize machine learning and statistical methods to identify patterns, automate root cause analysis, and forecast system behavior.

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You will write and maintain automation scripts that support remediation and incident response.

">Required Skills and Qualifications">
  • ">
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related discipline.">
  • Certification in DevOps or MLOps from AWS or GCP is preferred.">
  • Understand Site Reliability Engineering practices and metrics such as Service-Level Agreements (SLAs), Service-Level Indicators (SLIs), and Service-Level Objectives (SLOs).">
  • Demonstrate strong programming proficiency in Python.">
  • Work with ML lifecycle platforms such as MLflow, Kubeflow, TensorFlow Extended (TFX), and Data Version Control (DVC).">
  • Use Docker and Kubernetes for containerization and orchestration.">
  • Employ CI/CD tools including GitHub Actions, Jenkins, and GitLab CI/CD.">
  • Operate monitoring and logging systems like Prometheus, Grafana, ELK, Datadog, and Splunk.">
  • Possess hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).">
  • Apply DevOps principles effectively and use infrastructure-as-code tools like Terraform and Ansible.">
  • Handle projects involving Natural Language Processing, time-series forecasting, or anomaly detection models.">
  • Build and manage large-scale distributed computing environments.">
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Seniority Level: Mid-Senior level

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Employment Type: Full-time

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Job Function: Engineering and Information Technology

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Keywords: AI, Machine Learning, CI/CD, AIOps

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About the Job:

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This is an exciting opportunity for professionals looking to take their career to the next level.

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We are seeking talented individuals who can contribute to our team's success in delivering cutting-edge solutions.

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Your expertise in machine learning, data science, and software development will play a crucial role in shaping our products and services.

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This is a full-time position that requires dedication and commitment to excellence.

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As a member of our team, you will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and develop your skills through continuous learning and growth opportunities.

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If you are passionate about technology and innovation, we encourage you to apply for this position.

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Please note that only shortlisted candidates will be contacted for further evaluation.

"

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