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Member of Technical Staff - AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neura...
 
                        Posted today
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Job Description
**The Opportunity**
At Nutanix, we're redefining intelligent observability with Panacea.ai - an AI/ML-powered platform that automatically detects, explains and correlates anomalies across logs and metrics.
In version 1.0, we used regex-based filters along with historical data to identify anomalies. In version 2.0, we advanced to **AI/ML** and capabilities that deliver deeper, context-rich anomaly detection and are working on building an **enterprise-grade automated RCA (Root Cause Analysis) engine** - powered by an **agentic platform** that integrates **MCP servers** as tools, and a conversational interface that enables users to query, explore and discuss issues as naturally as a chat.
We're seeking a passionate and driven Engineer to work on this mission-critical initiative. This is a hands-on, high-impact role where you will work on this AI/ML innovation, and shape Nutanix's central AI charter. You'll be at the forefront of building enterprise-scale, AI-first observability solutions.
**About the Team**
The **Panacea** team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver **AI/ML-powered developer productivity tools** that solve real engineering and support pain points at scale.
Why Join Us
+ Work along with **high-impact team** delivering AI-first observability tools that directly improve engineering velocity and product quality.
+ Tackle **challenging technical and product problems** at scale and speed.
+ Shape the **foundational AI platform and practices** across Nutanix.
+ Enjoy the **flexibility of hybrid work** , with a culture that values deep work, collaboration, and ownership.
+ Be part of a **startup-style team** backed by the scale, reach, and stability of a global cloud leader.
**Your Role**
+ **Auto RCA Engine:** Deliver an AI-driven engine that correlates logs and metrics across distributed services, automatically surfacing explanations for incidents. This includes an **agentic platform** that integrates **MCP servers** as tools, alongside a **chat-like conversational interface** that enables engineers to query issues, run diagnostics, and collaborate on RCA in natural language. Here, LLMs will power interactive diagnostics and human-like discussions around problem-solving.
+ **AI-Powered Observability Platform:** Own the vision, architecture, and delivery of Panacea's ML-based log and metrics analyzer that reduces triage time and improves engineering efficiency. This includes leveraging LLMs for anomaly explanation, RCA summaries, and contextual recommendations to engineers and support teams.
+ **Knowledge Base Creation:** Build a robust **company-wide knowledge base** that consolidates product, observability, and system data into structured formats. This knowledge base will serve as a foundation for LLMs, enhancing their ability to reason, answer queries, and provide deeper insights into system anomalies.
+ **Metrics Anomaly Detection:** Development of models that detect anomalies in **CPU, memory, disk I/O, network traffic, and service health** , enabling proactive identification of performance regressions. LLMs will assist in summarizing anomalies and providing contextual recommendations for remediation.
+ **Feedback Loop & Continuous Learning:** Build infrastructure that captures user interactions and feedback, using LLMs and ML pipelines to retrain and improve anomaly detection and RCA accuracy over time.
+ **Central AI Charter:** Collaborate with product and support teams to define foundational AI infrastructure, shared ML components, governance practices, and standards that scale across Nutanix's product ecosystem.
Responsibilities
+ Apply expertise in **LangGraph, LangChain, agentic AI architectures, and multi-agent orchestration** to build intelligent, scalable workflows.
+ Design and develop **conversational AI systems** (chatbots, copilots, or support assistants) for incident triage and RCA.
+ Implement correlation models to connect anomalies across logs and metrics, forming a cohesive **RCA narrative** .
+ **End-to-end ML lifecycle** : data ingestion, feature extraction, model training, evaluation, deployment, and monitoring.
+ Build **explainable AI systems** that increase adoption and trust within engineering, QA, and support teams.
+ Collaborate with cross-functional stakeholders (SRE, QA, Dev) to deeply understand pain points and translate them into intelligent tooling.
**What You Will Bring**
+ **Educational Background** : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or a related field.
+ **Experience** : 6+ years in software engineering, with a track record of designing, developing, and deploying AI/ML systems at scale,
+ **AI/ML Expertise** :
+ Strong in time-series anomaly detection, statistical modeling, supervised/unsupervised learning.
+ Experience building ML models for metrics data (CPU, memory, IOPS, network, etc.) using models like Isolation Forest, Prophet, LSTM, or deep autoencoders.
+ Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A.
+ Preferred experience in designing and deploying agentic workflows.
+ **Engineering Skills:** Strong Python programming skills with proficiency in ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Experience building and operating robust data pipelines and serving models at scale.Observability Knowledge: Familiarity with logs, metrics, and traces, along with monitoring tools such as Prometheus, Grafana, and ELK
**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 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.
We're an Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting
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                    Lead AI Research Scientist - Deep Learning Models
Posted 3 days ago
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Job Description
Responsibilities:
- Lead research initiatives in advanced deep learning techniques, including but not limited to, neural networks, natural language processing, computer vision, and reinforcement learning.
- Conceptualize, design, and implement novel AI algorithms and models to solve challenging real-world problems.
- Conduct rigorous experimentation, validation, and benchmarking of AI models to assess performance and identify areas for improvement.
- Collaborate with a world-class team of researchers and engineers to integrate research findings into production-ready systems.
- Publish research findings in top-tier conferences and journals, and contribute to the advancement of the AI field.
- Mentor and guide junior research scientists and engineers, fostering a culture of scientific inquiry and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and related fields, and identify opportunities for novel research.
- Develop and maintain robust research infrastructure, including data pipelines, training frameworks, and evaluation metrics.
- Effectively communicate complex research concepts and results to both technical and non-technical audiences through presentations and documentation.
- Contribute to the strategic roadmap for AI research and development within the organization.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI and deep learning, with a strong publication record in leading venues.
- Demonstrated experience leading research projects from inception to completion.
- Expertise in one or more core areas of deep learning (e.g., CNNs, RNNs, Transformers, GANs).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch.
- Strong understanding of machine learning theory, statistical modeling, and data analysis techniques.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication, presentation, and interpersonal skills, with a proven ability to collaborate effectively in a remote research setting.
- Ability to work independently, manage research priorities, and drive innovation.
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                    Lead AI Researcher - Generative Models
Posted 6 days ago
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Job Description
Responsibilities:
- Lead the research and development of advanced generative AI models.
- Design and implement novel AI algorithms and architectures.
- Mentor and guide a team of AI researchers and engineers.
- Define research strategy and roadmap for generative AI initiatives.
- Collaborate with product and engineering teams to integrate AI models into production systems.
- Publish research findings in leading academic venues.
- Stay current with state-of-the-art research in AI and machine learning.
- Evaluate and benchmark new AI technologies and methodologies.
- Contribute to the intellectual property portfolio of the company.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of research experience in AI/ML, with a focus on generative models.
- Proven track record of publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed systems.
- Excellent leadership and communication skills.
- Ability to work independently and collaboratively in a remote setting.
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                    Lead AI Engineer - Generative Models
Posted 13 days ago
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Job Description
- Leading the research and development of novel generative AI architectures and algorithms.
- Architecting and implementing scalable ML pipelines for training and inference.
- Collaborating with product managers and cross-functional teams to define AI strategies and roadmaps.
- Mentoring and guiding a team of talented AI engineers and researchers.
- Staying abreast of the latest advancements in AI and exploring their potential applications.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Optimizing model performance for efficiency and accuracy in production environments.
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                    Lead AI Engineer - Generative Models
Posted 16 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and deployment of advanced AI models, with a focus on generative techniques.
- Mentor and manage a team of AI engineers and researchers.
- Conduct research into new AI algorithms and methodologies.
- Implement and optimize deep learning models for scalability and performance.
- Collaborate with cross-functional teams to define AI strategy and product roadmaps.
- Ensure the ethical and responsible development of AI systems.
- Stay current with the latest advancements in AI and machine learning.
- Contribute to technical documentation and knowledge sharing.
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in AI/ML development, with a strong focus on generative models.
- Proven experience in leading technical teams and projects.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with cloud computing platforms and MLOps.
- Excellent problem-solving and analytical skills.
- Strong communication skills suitable for a remote-first environment.
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                    Principal AI Engineer, Generative Models
Posted 16 days ago
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                    Principal AI Researcher - Generative Models
Posted 18 days ago
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Job Description
Key Responsibilities:
- Lead research initiatives in generative AI, focusing on novel architectures, training methodologies, and applications.
- Develop and implement state-of-the-art algorithms for large language models, text-to-image generation, and other generative tasks.
- Design and conduct rigorous experiments to evaluate model performance and validate research hypotheses.
- Analyze large datasets and extract meaningful insights to inform research directions.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning, particularly in generative models.
- Publish research findings in leading academic conferences (e.g., NeurIPS, ICML, ICLR) and journals.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research culture.
- Contribute to the strategic direction of AI research within the organization.
- Develop prototypes and proofs-of-concept to demonstrate the feasibility of new AI technologies.
- Collaborate effectively with engineering teams for the deployment of research models into production environments.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of research experience in AI/ML, with a significant focus on generative models.
- Demonstrated track record of impactful research, evidenced by publications in top-tier venues.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong theoretical understanding of neural networks, probability, and statistics.
- Proficiency in programming languages like Python.
- Experience with distributed training and high-performance computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Proven ability to lead research projects and mentor team members in a remote setting.
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Lead AI Engineer, Generative Models
Posted 18 days ago
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Job Description
Responsibilities include leading a talented team of AI engineers and researchers, defining technical strategy, and ensuring the successful execution of AI projects from conception to production. You will be responsible for extensive experimentation, model fine-tuning, and optimization to achieve state-of-the-art performance. The ideal candidate will have a profound understanding of the latest research in generative AI, coupled with practical experience in deploying these models at scale. You will foster a collaborative and innovative environment, encouraging knowledge sharing and continuous learning within the team. This role demands exceptional leadership, technical depth, and the ability to translate complex AI concepts into tangible business value.
Key Duties:
- Lead the design and implementation of advanced generative AI models and systems.
- Mentor and guide a team of AI engineers and research scientists.
- Oversee the end-to-end lifecycle of AI model development, from prototyping to production deployment.
- Conduct rigorous research and experimentation to identify novel approaches and optimize model performance.
- Collaborate with product managers and other stakeholders to define AI-driven features and solutions.
- Stay at the forefront of AI research, identifying and integrating emerging technologies.
- Ensure the ethical development and deployment of AI systems.
- Contribute to internal knowledge sharing and best practices in AI engineering.
Required Qualifications:
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI/ML engineering, with a strong focus on deep learning and generative models.
- Proven experience with LLMs, transformers, GANs, VAEs, or diffusion models.
- Expertise in Python and deep learning frameworks like PyTorch or TensorFlow.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools.
- Demonstrated ability to lead technical teams and manage complex projects.
- Excellent communication and interpersonal skills.
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                    Principal AI Engineer - Generative Models
Posted 22 days ago
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Job Description
Key Responsibilities:
- Lead research and development efforts in generative AI, focusing on areas such as natural language generation, image synthesis, and reinforcement learning.
- Design, implement, and evaluate state-of-the-art deep learning models, including transformers, GANs, VAEs, and diffusion models.
- Develop and maintain robust pipelines for data preprocessing, model training, and hyperparameter tuning.
- Optimize model performance for scalability, efficiency, and accuracy on large datasets.
- Collaborate with product managers and software engineers to integrate AI capabilities into new and existing products.
- Stay at the forefront of AI research, identifying emerging trends and technologies to drive innovation.
- Mentor junior AI engineers and contribute to the growth of the AI team.
- Publish research findings in top-tier AI conferences and journals.
- Develop strategies for responsible AI development, including fairness, accountability, and transparency.
- Design and conduct experiments to validate model hypotheses and measure impact.
- Contribute to the architectural design of AI systems and platforms.
- Engage with the broader AI community through talks, workshops, and open-source contributions.
- Translate complex research concepts into practical, implementable solutions.
- Ensure the ethical considerations of AI are integrated into the development lifecycle.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML research and development, with a significant focus on generative models.
- Demonstrated expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proven track record of developing and deploying production-level AI models.
- Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning.
- Experience with large-scale data processing and distributed training environments.
- Excellent programming skills in Python and proficiency with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Exceptional analytical, problem-solving, and algorithmic thinking abilities.
- Strong leadership and mentorship capabilities.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
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                    Principal AI Engineer - Generative Models
Posted 22 days ago
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Job Description
As a Principal AI Engineer, you will be responsible for designing, architecting, and implementing complex AI models, including large language models (LLMs), diffusion models, and GANs. Your work will involve extensive research, experimentation, and fine-tuning of models to achieve specific performance metrics and creative outputs. You will lead a team of talented AI engineers and researchers, providing technical guidance, mentorship, and strategic direction. This role requires a strong ability to translate complex business requirements into actionable AI strategies and scalable solutions. You will also collaborate closely with product managers, data scientists, and other stakeholders to ensure seamless integration of AI capabilities into our client's offerings. The position demands a proactive approach to identifying new research avenues and emerging technologies in the AI landscape.
Key Responsibilities:
- Lead the design, development, and deployment of advanced generative AI models.
- Architect scalable and robust AI systems for various applications.
- Conduct in-depth research into new AI techniques and algorithms.
- Train, fine-tune, and optimize large-scale neural networks.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor and guide junior AI engineers and researchers.
- Stay current with the latest advancements in AI and machine learning.
- Evaluate and implement cutting-edge AI frameworks and tools.
- Contribute to intellectual property and technical publications.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of experience in AI/ML engineering, with a strong focus on generative models.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in programming languages like Python.
- Deep understanding of transformer architectures, GANs, diffusion models, and other generative techniques.
- Experience with large-scale data processing and distributed computing.
- Strong leadership and team management skills.
- Excellent problem-solving, analytical, and algorithmic thinking abilities.
- Strong communication skills to effectively present technical concepts.
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