Senior Data Engineer @ Nutanix

Hungry, Humble, Honest, with Heart.

The Opportunity

Nutanix is a global leader in hybrid multi-cloud computing, enabling enterprises to seamlessly manage and scale applications and data across public and private clouds. We thrive on innovation, simplicity, and customer delight and were pushing boundaries further with AI.

About the Team

We are looking for a passionate AI/ML Engineer with a strong background in Generative AI, NLP, and large-scale data systems. As an individual contributor (IC3/IC4), you ll work at the intersection of research and productization building intelligent, scalable, and secure AI systems that power next-gen enterprise experiences across Nutanix platforms.

This is your opportunity to design and deliver cutting-edge AI capabilities that simplify cloud infrastructure, elevate data insights, and transform user interactions.

Your Role

• such as intelligent assistants, autonomous infrastructure, anomaly detection, recommendation systems, and more.
• Contribute to and/or lead initiatives to fine-tune and optimize LLMs (e.g., LLaMA, Mistral, GPT) using Nutanix-specific datasets.
• Work on RAG pipelines, embeddings, vector DBs, prompt engineering, and responsible AI guardrails.
• Collaborate with product managers, designers, and platform engineers to integrate AI features seamlessly into Nutanix products.
• Own the end-to-end ML lifecycle: from data engineering, experimentation, training, and evaluation to deployment and monitoring.
• Build reusable ML components, services, and APIs with a focus on scalability, observability, and reliability.
• Contribute to internal AI platforms/tools and best practices, including model evaluation frameworks and GPU/accelerator optimization.
• Stay on top of emerging AI/ML research and tools and help drive innovation across the org.
  

What You Will Bring

Basic Requirements (IC3/IC4)

• Bachelors or Master s in Computer Science, Machine Learning, or related field.
• 3-6 years (IC3) or 6-9 years (IC4) of industry experience in AI/ML with at least 1-2 years in Generative AI and LLMs.
• Strong programming skills in Python, familiarity with ML/AI libraries (PyTorch, TensorFlow, Hugging Face, LangChain, etc.).
• Experience with fine-tuning LLMs, prompt engineering, embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate).
• Hands-on experience in ML Ops: data versioning, model serving, and monitoring.
• Solid understanding of NLP techniques, Transformers, and encoder-decoder architectures.
• Familiarity with cloud-native architectures, Kubernetes, and scalable inference platforms (e.g., Triton, vLLM).

• Experience with open-source LLMs (e.g., LLaMA3, Mistral, Mixtral).
• Familiarity with retrieval-augmented generation (RAG) architectures and open-source toolkits like Haystack or LangChain.
• Experience working in a platform team building reusable ML components for wider adoption.
• Exposure to multi-agent systems, autonomous decision-making, or reinforcement learning is a plus.
• Understanding of Responsible AI principles including bias detection, explainability, and hallucination mitigation.

• Hybrid, flexible work culture with a deep engineering-driven mindset.
• Freedom to innovate and work on open-ended AI/ML problems.
• Access to high-performance computing and large-scale enterprise data.
• Work with a diverse and inclusive team that values learning and growth.
• Be part of our journey to transform enterprise IT with intelligent systems.
  

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

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