
Machine Learning Engineer – LLMOps
2 weeks ago
Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.
At Delphi Consulting Pvt. Ltd., we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization, delivering impactful solutions that drive smarter, efficient futures for our clients.
About the Role:
We are looking for an experienced LLM Ops Lead/Architect to drive the deployment, scaling, and monitoring of large language models (LLMs) in production. This role will focus on building robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs—from training and fine-tuning to inference and continuous improvement.
The ideal candidate will have strong hands-on expertise with MLOps frameworks, cloud-native architectures (Azure preferred), and modern DevOps practices, combined with leadership skills to align cross-functional stakeholders and establish best practices for LLM operations.
What you'll do:
- Lead the design and implementation of LLM Ops infrastructure for training, fine-tuning, and large-scale inference.
- Establish and enforce best practices for model deployment, monitoring, retraining, and continuous improvement.
- Implement security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
- Partner closely with data science, research, and product teams to streamline the LLM lifecycle.
- Build and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluate and implement tools for cost optimization and performance tuning in large-scale environments.
- Provide technical leadership and mentor teams on LLMOps methodologies.
What you'll bring:
- Strong expertise in LLM deployment, scaling, and monitoring.
- Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
- Hands-on with cloud-native architectures (Azure preferred).
- Strong background in CI/CD pipelines, containerization (Docker, Kubernetes), and microservices.
- Solid understanding of observability tools (Prometheus, Grafana, OpenTelemetry).
- Deep knowledge of model evaluation, drift detection, prompt management, and AI safety guardrails.
- Programming expertise in Python and Bash scripting.
- Experience with vector databases and RAG pipelines.
- Strong leadership and stakeholder communication skills.
- Knowledge of LLM safety, bias mitigation, and regulatory compliance.
What We Offer:
At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.
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