oracle
Gen AI - Engineering Lead
EXL Talent Acquisition Team
Chennai, IND
Full-time
Senior · 10+ years experience
Hybrid
Discovered 3 weeks ago
PythonLinuxMicrosoft AzureGoogle Cloud Platform (GCP)
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PythonLinuxMicrosoft Azure
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PythonLinuxMicrosoft AzureGoogle Cloud Platform (GCP)
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Responsibilities
- Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
- Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
- Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP .
- Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
- Work with large datasets to build data pipelines and ensure effective model training and evaluation.
- Develop AI solutions using Python and modern ML libraries .
- Manage deployments and infrastructure in Linux-based environments .
- Ensure secure processing and governance of sensitive data , including PII and PHI , adhering to enterprise security and compliance standards.
- Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency .
- Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
- Document model architectures, experiments, deployment pipelines, and operational processes.
- Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices .
Qualifications
- Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field .
- 10+ years of overall professional experience in software engineering, machine learning, or AI engineering.
- Minimum 3+ years of hands-on experience working with Generative AI technologies and LLMs .
- Strong programming experience in Python .
- Proven experience fine-tuning, deploying, and optimizing large language models .
- Experience deploying Generative AI solutions into production environments .
- Hands-on experience working with Linux-based systems .
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