Production Engineer

Fractal Analytics
Applicants0
Postedabout 1 month ago

Job Highlights

Experience0 - 5 Yrs
SalaryUndisclosed
LocationPune
Work ModelOnsite
RoleProduction Engineer
Openings2
EmploymentFull-Time
EducationLLB

Required Skills

PythonSQLCloud Platforms (AWS, Azure, GCP)DockerKubernetesCI/CD Tools (Jenkins, GitLab CI)Monitoring Tools (Prometheus, Grafana)Shell ScriptingData Pipeline Orchestration (Airflow)Problem-SolvingCommunication SkillsTeamworkUnderstanding of ML/AI concepts

Job Description

Role Summary:
Fractal Analytics is seeking a skilled and motivated Production Engineer to join our dynamic team in India. The Production Engineer will be responsible for ensuring the smooth and efficient operation of our data production pipelines and AI/ML models in a live production environment. This role requires a strong understanding of software engineering principles, data management, and a proactive approach to problem-solving.

Key Responsibilities:

  • Monitor and maintain production systems, ensuring high availability and performance.
  • Troubleshoot and resolve issues in production environments, including data pipelines, model deployments, and infrastructure.
  • Implement and manage CI/CD pipelines for model deployment and updates.
  • Collaborate with data scientists, software engineers, and other stakeholders to ensure successful productionization of AI/ML solutions.
  • Develop and maintain documentation for production processes, systems, and troubleshooting guides.
  • Optimize production workflows for efficiency, scalability, and cost-effectiveness.
  • Participate in on-call rotations and respond to production incidents as needed.

About Fractal Analytics

Fractal Analytics is a leading global provider of artificial intelligence and advanced analytics solutions. Founded in 2010, Fractal helps Fortune 500 companies make better decisions by leveraging data and AI. With a strong presence in India and globally, Fractal serves clients across various industries including consumer goods, retail, financial services, and healthcare. They are known for their innovative approach to solving complex business problems through data science, machine learning, and AI.

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