Consultant at leading Data Consultancy

1 day ago

India Delphi Consulting Middle East Full time

Join Delphi - Where Innovation meets transformation Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About the Role: Lead Consultant LLMOps We are looking for a Lead Consultant – LLMOps to design, implement, and scale our LLM (Large Language Model) operations infrastructure. In this role, you will bring deep expertise in MLOps and cloud-native architectures to ensure that our LLM solutions are deployed, monitored, and continuously improved at enterprise scale. You will partner closely with data science, research, and product teams to streamline the end-to-end lifecycle of LLMs, from training and fine-tuning to inference and responsible AI governance. LLMOps Infrastructure: Lead the design and implementation of scalable infrastructure for training, fine-tuning, deployment, and inference of LLMs. • Establish best practices for model deployment, monitoring, drift detection, and lifecycle management. • Partner with cross-functional teams (data science, research, product, engineering) to streamline LLMOps workflows. • Build automation pipelines for retraining, dataset updates, and version management. • Evaluate tools and frameworks to improve performance, reduce latency, and optimize costs. • Ensure full visibility into deployed models with monitoring and alerting via tools such as Prometheus, Grafana, and OpenTelemetry. • 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). • Solid experience with CI/CD pipelines, Docker, Kubernetes, and microservices. • Deep understanding of model evaluation, drift detection, prompt management, and safety guardrails. • Programming proficiency in Python and Bash scripting. • Familiarity with vector databases and RAG pipelines. • Knowledge of LLM safety, bias mitigation, and regulatory compliance. • Establish a robust LLMOps framework for managing training, deployment, and monitoring. • Deploy at least one large-scale LLM solution into production with guardrails and observability. • Define KPIs for monitoring model performance, safety, and business impact. • 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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