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.
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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Site Reliability Engineer • India
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