1,402 Neural Networks jobs in India
Member of Technical Staff - AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neura...
Posted 2 days ago
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**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
AI Development Intern
Posted 16 days ago
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Key responsibilities include:
- Supporting the research and development of machine learning models for various applications.
- Assisting in the collection, cleaning, and annotation of large datasets.
- Implementing and testing AI algorithms under the guidance of experienced professionals.
- Documenting research findings, code, and project progress.
- Collaborating with team members to troubleshoot and resolve technical challenges.
- Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
- Participating in team meetings and contributing innovative ideas.
Deep Learning Engineer
Posted 5 days ago
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Job description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read. If this excites you, we might love you.
We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.
Key Technologies:
- Must be an expert in Python and Numpy.
- Experience with Tensorflow/Keras/Pytorch is required.
- Unsatiable hunger for writing beautiful code.
- Knowledge of python design-patterns.
- Some experience with C++ is preferred.
- Knowledge working closely with version control (GIT).
- Excellent communication skills and being able to work independently.
- Strong problem-solving and coding skills override everything else written above.
About AIMonk:
Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.
Web and AI Development Intern
Posted today
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About Loam.ai
Loam.ai is an AI-first software consultancy building cutting-edge solutions for businesses ready to harness the power of artificial intelligence. We create custom AI-powered applications and automation systems that drive real business value for our clients.
Position Overview
We’re seeking a motivated and tech-savvy Web Development Intern to join our remote team. This is an excellent opportunity for someone passionate about modern web development who wants to learn how AI is transforming the way we build software. You’ll work on real client projects, collaborating with our team to create responsive, high-quality websites and web applications using the latest technologies and AI-assisted development workflows.
Location: Remote
Duration: 3-6 months
Stipend: ₹10,000 per month
Key Responsibilities
Frontend Development
• Design and develop responsive, mobile-first websites and web applications that look great across all devices and screen sizes
• Build and customize Shopify storefronts using Liquid templating language, React, and modern frontend frameworks
• Implement pixel-perfect designs with clean, maintainable HTML, CSS, and JavaScript code
• Create dynamic, interactive user interfaces using React and TypeScript
AI-Assisted Development
• Leverage AI tools like GitHub Copilot, ChatGPT, and other code generation assistants to accelerate development workflows
• Rapidly prototype and iterate on features using AI-powered coding tools
• Learn to effectively prompt and collaborate with AI to write clean, efficient code
API Integration & Backend Connectivity
• Integrate RESTful APIs and GraphQL endpoints into frontend applications
• Connect Shopify stores with third-party services and custom backend systems
• Handle data fetching, state management, and API authentication
Collaboration & Learning
• Work closely with senior developers and designers to understand project requirements and deliver quality solutions
• Participate in code reviews and contribute to improving development practices
• Troubleshoot bugs, optimize performance, and maintain existing web properties
• Stay current with emerging web technologies, AI development tools, and industry best practices
Required Skills & Qualifications
Technical Skills
• Proficiency in HTML5, CSS3, and modern JavaScript (ES6+)
• Experience with responsive design principles and mobile-first development
• Familiarity with React or other modern JavaScript frameworks (Vue.js, Angular)
• Understanding of REST APIs and how to integrate them into web applications
• Basic knowledge of Shopify development including Liquid templating, theme customization, or Shopify app development
• Experience using AI-powered development tools (GitHub Copilot, ChatGPT, Cursor, or similar) for coding assistance
• Version control with Git and GitHub
Soft Skills
• Strong problem-solving abilities and attention to detail
• Excellent communication skills and ability to work collaboratively in a remote team environment
• Self-motivated with the ability to manage time effectively and meet deadlines
• Eagerness to learn new technologies and adapt quickly to changing requirements
• Ability to take feedback constructively and iterate rapidly
Education
• Currently pursuing or recently completed a degree in Computer Science, Web Development, Software Engineering, or a related field
Preferred Qualifications
• Experience with TypeScript
• Familiarity with CSS frameworks like Tailwind CSS or Bootstrap
• Understanding of web performance optimization techniques
• Portfolio or GitHub profile showcasing previous web development projects
• Experience with Shopify theme development or app creation
• Knowledge of web accessibility standards and best practices
What You’ll Learn
• Real-world experience building production websites and applications for actual clients
• How to effectively leverage AI tools to accelerate your development workflow and boost productivity
• Modern web development practices including component-based architecture, state management, and API integration
• Shopify ecosystem including theme development, Liquid templating, and e-commerce best practices
• Professional software development workflows including code reviews, version control, and agile methodologies
• How to balance AI automation with human creativity and critical thinking
Why Join Loam.ai?
• AI-First Environment: Work at the forefront of AI-powered development and learn cutting-edge techniques
• Real Impact: Contribute to live client projects that make a difference for real businesses
• Remote Flexibility: Work from anywhere with flexible hours
• Mentorship: Learn directly from experienced developers passionate about teaching
• Career Growth: Build a strong portfolio and gain valuable experience that sets you apart in the job market
Senior Deep Learning Architect
Posted 23 days ago
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Responsibilities:
- Design and architect scalable deep learning systems and pipelines.
- Develop, train, and optimize deep learning models for various applications.
- Select appropriate model architectures and frameworks (TensorFlow, PyTorch, etc.).
- Lead the implementation of MLOps best practices for deep learning workflows.
- Collaborate with data scientists and engineers to integrate models into production.
- Evaluate and benchmark model performance, identifying areas for improvement.
- Mentor junior deep learning engineers and contribute to team growth.
- Stay current with state-of-the-art research in deep learning and AI.
- Contribute to the technical strategy and roadmap for AI initiatives.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in deep learning, with a focus on model architecture and development.
- Proven experience in designing and deploying large-scale deep learning models.
- Expertise in Python and deep learning frameworks like TensorFlow and PyTorch.
- Strong understanding of MLOps principles and tools.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
- Excellent analytical, problem-solving, and algorithmic thinking skills.
- Strong communication and collaboration skills.
- Experience with distributed training and model optimization techniques.
Senior AI Ethicist - Responsible AI Development
Posted 13 days ago
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Key Responsibilities:
- Develop and implement comprehensive AI ethics frameworks, policies, and best practices for the organization.
- Conduct ethical impact assessments for new AI products, features, and research initiatives.
- Advise AI development teams on identifying and mitigating ethical risks related to bias, fairness, privacy, accountability, and transparency.
- Collaborate with legal, policy, and engineering teams to ensure compliance with emerging AI regulations and ethical standards.
- Stay abreast of the latest research, discourse, and challenges in AI ethics and responsible innovation.
- Develop training materials and conduct workshops to educate employees on AI ethics principles.
- Serve as an internal and external thought leader on AI ethics issues.
- Facilitate discussions and build consensus on complex ethical dilemmas related to AI.
- Contribute to the design of AI systems that prioritize human values and societal well-being.
- Monitor and evaluate the ethical implications of deployed AI systems.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science, Public Policy, or a related interdisciplinary field with a focus on technology ethics.
- Minimum of 6 years of experience working in AI ethics, responsible innovation, or technology policy.
- Strong understanding of machine learning concepts and the technical aspects of AI systems.
- In-depth knowledge of ethical theories and frameworks, particularly as they apply to technology.
- Experience in conducting ethical risk assessments and developing mitigation strategies.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication, presentation, and interpersonal skills, with the ability to engage diverse stakeholders.
- Familiarity with AI governance, regulations, and standards is highly desirable.
- Ability to work independently and lead initiatives in a remote setting.
- A passion for ensuring that AI is developed and used for the benefit of humanity.
Senior AI Ethicist - Responsible AI Development
Posted 21 days ago
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Responsibilities:
- Develop, refine, and enforce ethical frameworks and policies for AI development and deployment.
- Conduct thorough ethical risk assessments and bias audits for AI models and algorithms.
- Collaborate closely with AI researchers, engineers, legal teams, and product managers to integrate ethical considerations into the entire AI lifecycle.
- Advise on issues of fairness, accountability, transparency, privacy, and societal impact of AI systems.
- Research emerging ethical challenges and best practices in AI.
- Develop training materials and deliver workshops on AI ethics to internal teams.
- Engage with external stakeholders, policymakers, and academic institutions on AI ethics topics.
- Contribute to the company's thought leadership in responsible AI.
- Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a specialization in AI ethics or technology ethics.
- Minimum of 5 years of experience focusing on AI ethics, technology policy, or responsible innovation.
- Deep understanding of AI/ML concepts and their ethical implications.
- Proven experience in developing ethical guidelines, conducting risk assessments, and advising on complex ethical issues.
- Excellent research, analytical, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex ethical concepts clearly.
- Demonstrated ability to work effectively in a remote, collaborative environment.
- Experience with global AI regulations and standards is a plus.
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AI Research Scientist - Deep Learning
Posted 1 day ago
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The ideal candidate will possess a strong academic background in Artificial Intelligence, Machine Learning, or a closely related field, with a proven ability to conduct independent research and publish findings. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. You will work on projects involving areas like computer vision, natural language processing, reinforcement learning, or generative models. Responsibilities include designing experiments, collecting and analyzing data, building and training deep learning models, evaluating their performance, and translating research findings into practical applications. Collaboration with other researchers and engineers will be key to pushing the boundaries of what's possible in AI.
Key responsibilities include:
- Conducting cutting-edge research in deep learning and artificial intelligence.
- Developing and implementing novel AI algorithms and models.
- Designing and executing experiments to validate research hypotheses.
- Analyzing large datasets and extracting meaningful insights.
- Collaborating with engineering teams to integrate AI models into products and systems.
- Staying current with the latest advancements in AI and machine learning research.
- Publishing research findings in top-tier conferences and journals.
- Contributing to the intellectual property of the organization.
AI Research Scientist - Deep Learning
Posted 7 days ago
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AI Research Scientist - Deep Learning
Posted 7 days ago
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