
Site Reliability Engineer
4 weeks ago
Required skills and qualifications
Exp- 7-12 Years
· Experience: Proven experience in technical support or engineering, preferably in AI/ML/GenAI environments.
· Technical Proficiency: Expertise in GenAI models (e.g., GPT, Claude, PaLM2, Llama2) and frameworks (e.g., RAG, Agents, COT).
· Cloud Platform and DevOps: Hands-on experience with cloud platforms (Azure, AWS, GCP) and DevOps tools.
· Database knowledge: SQL/Sybase/Mongo DB, any data warehouse (Snowflake, Databricks) experience.
· Scripting and Automation: Strong proficiency in Python, Shell scripting, and other relevant programming and UI languages like Java, Angular, http protocols.
· Monitoring tools knowledge like Splunk, AppDynamics, Autosys, Grafana/ Loki/ Prometheus
· ITIL application support management processes: Incident/Problem/Service/Jira management.
· Kubernetes and Containerization: Familiarity with containerization technologies like Docker, Loki and orchestration tools like Kubernetes (preferably EKS or OpenShift).
· Problem-solving and Analytical Skills: Excellent problem-solving, analytical, and troubleshooting skills with strong attention to detail.
· Communication and Collaboration: Strong command and control with good communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders across global teams.
· Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field.
Preferred qualifications
· Experience with natural language processing (NLP) and machine learning (ML) models.
· Familiarity with large language models (LLMs) such as GPT-3.5 Turbo, GPT-4.0, and GPT-4-O.
· Experience with OpenAI technologies and managing GenAI services in cloud environments.
· Understanding of MLOps practices and model lifecycle management.
· Familiarity with application monitoring solutions like Dynatrace and Splunk.
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