3,890 Neural Networks jobs in India
Staff Engineer/Tech Lead - AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neural...
Posted 1 day ago
Job Viewed
Job Description
**The Opportunity**
We are reimagining observability at Nutanix with **Panacea.ai** , our next-gen AI-driven log and metrics analyzer. In version 1.0, we leveraged regex-based filters to surface anomalies. Now, we're building **Panacea.ai** -powered by **AI/ML, ModernBERT, and LLMs** -to deliver intelligent, context-rich anomaly detection, automated root cause analysis (Auto-RCA), and continuous learning from user feedback.As a **Staff Engineer (MTS-6)** , you will **own the architecture and AI/ML systems that power both log and metrics analysis** , enabling automated diagnostics and reducing triage time for QA failures, regression runs, and customer issues. You'll also help define and drive the central AI charter at Nutanix, building reusable components, model infrastructure, and scalable ML services.
**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
+ Build **AI-first observability tools** that redefine how engineers triage and troubleshoot.
+ Own systems that reduce hours of manual work in **engineering and SRE workflows** .
+ Collaborate with a **tight-knit team of high-ownership engineers** who are passionate about impact and innovation.
+ Hybrid work model that supports flexibility and deep focus.
+ Help shape the **central AI charter** at Nutanix and influence future AI products across the company.
**Your Role**
+ **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.
+ **AI/ML-powered Log Analyzer Tool** : Use deep learning (e.g., **ModernBERT** ) to represent log messages, detect anomalies, group patterns, and surface actionable insights to users.
+ **Metrics Anomaly Detection Engine** : Build robust ML models to detect anomalies in time-series metrics like **CPU, memory, disk I/O, network traffic, service health** , and more-automatically identifying performance degradation or system regressions across distributed environments.
+ **Auto-RCA Engine** : Combine log and metrics signals with graph-based correlation and LLM-powered summarization to automatically diagnose the root cause of system failures.
+ **Feedback Loop & Continuous Learning** : Build infrastructure for incorporating user feedback to continuously retrain and improve anomaly detection systems.
+ **LLM Integration** : Integrate LLMs for user queries, problem summarization, anomaly explanation, and contextual recommendations.
+ **Central AI Charter** : Contribute to Nutanix's foundational AI platform by defining shared tooling, datasets, governance, and reusable ML components across products.
Responsibilities
+ Architect and scale ML pipelines for **real-time and batch-based anomaly detection** in both logs and time-series metrics.
+ Build and fine-tune **ModernBERT** and other transformer-based models for log understanding, anomaly classification, and summarization.
+ Develop unsupervised and semi-supervised ML models for **detecting anomalies in system metrics** (CPU, memory, network throughput, latency, etc.).
+ Implement correlation models to connect anomalies across logs and metrics to form a cohesive RCA narrative.
+ Own the entire 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.
+ Drive technical excellence through code and design reviews, mentoring, and setting engineering best practices.
**What You Will Bring**
+ **Educational Background** : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or related fields.
+ **Experience** : 12+ years of engineering experience , including designing , developing and deploying AI/ML systems at scale.
+ **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.
+ Expertise in NLP using **ModernBERT, BERT, or** log classification, clustering, and summarization.
+ Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A.
+ **Engineering Skills** : Strong Python background, hands-on with ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Familiar with data pipelines and serving models.
+ **Observability Knowledge** : Hands-on with logs, metrics, traces, and popular monitoring tools (e.g., Prometheus, Grafana, ELK).
+ **Leadership** : Ability to independently drive projects from requirements to delivery, mentor junior engineers, and deliver business impact.
**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.
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
Staff Engineer/Tech Lead – AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neural...
Posted today
Job Viewed
Job Description
The Opportunity
We are reimagining observability at Nutanix with , our next-gen AI-driven log and metrics analyzer. In version 1.0, we leveraged regex-based filters to surface anomalies. Now, we’re building —powered by AI/ML, ModernBERT, and LLMs —to deliver intelligent, context-rich anomaly detection, automated root cause analysis (Auto-RCA), and continuous learning from user a Staff Engineer (MTS-6) , you will own the architecture and AI/ML systems that power both log and metrics analysis , enabling automated diagnostics and reducing triage time for QA failures, regression runs, and customer issues. You’ll also help define and drive the central AI charter at Nutanix, building reusable components, model infrastructure, and scalable ML services.
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
Your Role
Responsibilities
What You Will Bring
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.
--
Specialist - AI Development
Posted 1 day ago
Job Viewed
Job Description
India
**Location:**
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
**Role: Specialist AI Development Engineer**
**Location: Bangalore**
**Full Time/Part-time - Full Time**
**Build a career with confidence:**
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do
**About the Role**
We are seeking a Senior AI Development Engineer to join our AI team. In this role, you will be responsible for writing optimized Python code for AI applications, translating machine learning models into production-ready systems, and ensuring all code meets our organization's high standards for quality and performance. You will work closely with data scientists, MLOps engineers, and platform teams to build robust AI solutions that address complex business challenges. As a senior member of the team with 10+ years of experience, you will also provide technical leadership, establish coding standards, and mentor junior engineers.
**Primary Responsibilities**
+ Design and implement high-performance, production-grade Python code for AI applications that adheres to organizational standards
+ Optimize machine learning algorithms and models for efficiency, scalability, and reliability in production environments
+ Collaborate with data scientists to translate prototype models into robust, maintainable, and scalable code
+ Develop reusable code libraries, frameworks, and tools to accelerate AI development across the organization
+ Implement automated testing frameworks and continuous integration practices for AI systems
+ Work closely with MLOps engineers to ensure smooth deployment and integration of AI systems into production environments
+ Establish and enforce coding standards, best practices, and design patterns for AI development
+ Conduct code reviews and provide constructive feedback to improve code quality and developer skills
+ Troubleshoot and resolve complex technical issues in AI applications and systems
+ Stay current with the latest advancements in software engineering and AI technologies
+ Mentor junior engineers and contribute to their technical growth and development
+ Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile development process
**Experience and Skills Required**
+ Bachelor's degree in computer science, Software Engineering, or related field; Master's degree preferred
+ 10+ years of experience in software development, with at least 5 years focused on AI/ML applications
+ Expert-level proficiency in Python, including advanced features, optimization techniques, and design patterns
+ Extensive experience with Python data science and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
+ Strong knowledge of software architecture principles and experience designing complex systems
+ Proven track record of delivering high-performance, production-grade AI applications
+ Experience with optimization techniques for machine learning algorithms and large-scale data processing
+ Proficiency with version control systems (e.g., Git), CI/CD pipelines, and DevOps practices
+ Strong understanding of software testing methodologies and experience with automated testing frameworks
+ Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
+ Familiarity with cloud platforms (e.g., AWS) and their AI/ML services
+ Knowledge of database systems and data storage technologies relevant to AI applications
+ Excellent problem-solving skills and ability to debug complex issues in production environments
+ Strong communication skills with the ability to collaborate effectively with cross-functional teams
+ Experience mentoring junior engineers and establishing coding standards and best practices
+ Ability to work effectively in a fast-paced, collaborative environment with changing priorities
**Benefits:**
+ We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
+ Have peace of mind and body with our health insurance
+ Make yourself a priority with flexible schedules and leave Policy
+ Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
**Our commitment to you:**
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is _The Carrier Way_ .
Join us and make a difference.
Apply Now.
**Carrier is An Equal** **Opportunity/Affirmative** **Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.**
**Job Applicant's Privacy Notice:**
Click on this link ( to read the Job Applicant's Privacy Notice
AI Development Intern
Posted today
Job Viewed
Job Description
This internship provides a unique opportunity to gain hands-on experience in building real-world systems using modern tools and working alongside experienced engineers in a fast-paced, product-driven AI startup.
Job Responsibilities- Assist in developing and testing REST APIs and backend logic using Java + Spring Boot.
- Contribute to internal tools and services supporting AI agent workflows.
- Work with databases (SQL & NoSQL) and learn about data flow in distributed systems.
- Collaborate with the AI and frontend teams to integrate backend components.
- Brief knowledge of Java and understanding of the Spring Boot framework.
- Understanding of Object-Oriented Programming (OOP) and SOLID principles.
- Familiarity with creating or consuming REST APIs.
- Comfort with Git and platforms like GitHub or Bitbucket.
- Exposure to relational databases like MySQL or PostgreSQL, and writing basic SQL queries.
- Experience or interest in Supabase, Firebase, or similar tools.
- Curiosity about Docker and container-based development.
- Understanding of authentication protocols like JWT or OAuth.
- Participation in open-source projects, coding contests, or personal backend builds.
- Remote-first work with flexible hours.
- Direct mentorship from experienced backend engineers.
- Opportunity to transition to a full-time role based on performance.
- A chance to contribute to a cutting-edge AI automation product.
- Internship certificate & Letter of Recommendation.
Specialist - AI Development
Posted today
Job Viewed
Job Description
Country:
IndiaLocation:
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103Role: Specialist AI Development Engineer
Location: Bangalore
Full Time/Part-time - Full Time
Build a career with confidence:
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do
About the Role
We are seeking a Senior AI Development Engineer to join our AI team. In this role, you will be responsible for writing optimized Python code for AI applications, translating machine learning models into production-ready systems, and ensuring all code meets our organization's high standards for quality and performance. You will work closely with data scientists, MLOps engineers, and platform teams to build robust AI solutions that address complex business challenges. As a senior member of the team with 10+ years of experience, you will also provide technical leadership, establish coding standards, and mentor junior engineers.
Primary Responsibilities
Design and implement high-performance, production-grade Python code for AI applications that adheres to organizational standards
Optimize machine learning algorithms and models for efficiency, scalability, and reliability in production environments
Collaborate with data scientists to translate prototype models into robust, maintainable, and scalable code
Develop reusable code libraries, frameworks, and tools to accelerate AI development across the organization
Implement automated testing frameworks and continuous integration practices for AI systems
Work closely with MLOps engineers to ensure smooth deployment and integration of AI systems into production environments
Establish and enforce coding standards, best practices, and design patterns for AI development
Conduct code reviews and provide constructive feedback to improve code quality and developer skills
Troubleshoot and resolve complex technical issues in AI applications and systems
Stay current with the latest advancements in software engineering and AI technologies
Mentor junior engineers and contribute to their technical growth and development
Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile development process
Experience and Skills Required
Bachelor’s degree in computer science, Software Engineering, or related field; Master's degree preferred
10+ years of experience in software development, with at least 5 years focused on AI/ML applications
Expert-level proficiency in Python, including advanced features, optimization techniques, and design patterns
Extensive experience with Python data science and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong knowledge of software architecture principles and experience designing complex systems
Proven track record of delivering high-performance, production-grade AI applications
Experience with optimization techniques for machine learning algorithms and large-scale data processing
Proficiency with version control systems (e.g., Git), CI/CD pipelines, and DevOps practices
Strong understanding of software testing methodologies and experience with automated testing frameworks
Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
Familiarity with cloud platforms (e.g., AWS) and their AI/ML services
Knowledge of database systems and data storage technologies relevant to AI applications
Excellent problem-solving skills and ability to debug complex issues in production environments
Strong communication skills with the ability to collaborate effectively with cross-functional teams
Experience mentoring junior engineers and establishing coding standards and best practices
Ability to work effectively in a fast-paced, collaborative environment with changing priorities
Benefits:
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you:
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is .
Specialist - AI Development
Posted today
Job Viewed
Job Description
Country:
IndiaLocation:
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103Role: Specialist AI Development Engineer
Location: Bangalore
Full Time/Part-time - Full Time
Build a career with confidence:
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do
About the Role
We are seeking a Senior AI Development Engineer to join our AI team. In this role, you will be responsible for writing optimized Python code for AI applications, translating machine learning models into production-ready systems, and ensuring all code meets our organization's high standards for quality and performance. You will work closely with data scientists, MLOps engineers, and platform teams to build robust AI solutions that address complex business challenges. As a senior member of the team with 10+ years of experience, you will also provide technical leadership, establish coding standards, and mentor junior engineers.
Primary Responsibilities
Design and implement high-performance, production-grade Python code for AI applications that adheres to organizational standards
Optimize machine learning algorithms and models for efficiency, scalability, and reliability in production environments
Collaborate with data scientists to translate prototype models into robust, maintainable, and scalable code
Develop reusable code libraries, frameworks, and tools to accelerate AI development across the organization
Implement automated testing frameworks and continuous integration practices for AI systems
Work closely with MLOps engineers to ensure smooth deployment and integration of AI systems into production environments
Establish and enforce coding standards, best practices, and design patterns for AI development
Conduct code reviews and provide constructive feedback to improve code quality and developer skills
Troubleshoot and resolve complex technical issues in AI applications and systems
Stay current with the latest advancements in software engineering and AI technologies
Mentor junior engineers and contribute to their technical growth and development
Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile development process
Experience and Skills Required
Bachelor’s degree in computer science, Software Engineering, or related field; Master's degree preferred
10+ years of experience in software development, with at least 5 years focused on AI/ML applications
Expert-level proficiency in Python, including advanced features, optimization techniques, and design patterns
Extensive experience with Python data science and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong knowledge of software architecture principles and experience designing complex systems
Proven track record of delivering high-performance, production-grade AI applications
Experience with optimization techniques for machine learning algorithms and large-scale data processing
Proficiency with version control systems (e.g., Git), CI/CD pipelines, and DevOps practices
Strong understanding of software testing methodologies and experience with automated testing frameworks
Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
Familiarity with cloud platforms (e.g., AWS) and their AI/ML services
Knowledge of database systems and data storage technologies relevant to AI applications
Excellent problem-solving skills and ability to debug complex issues in production environments
Strong communication skills with the ability to collaborate effectively with cross-functional teams
Experience mentoring junior engineers and establishing coding standards and best practices
Ability to work effectively in a fast-paced, collaborative environment with changing priorities
Benefits:
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you:
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way .
Join us and make a difference.
Apply Now.
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
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Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus