8 Natural Language Processing jobs in India

About Company:

It is a global MNC Service based.

Experience: 3 to 6Years

Location: Bangalore

Notice Period: Immediate to 45 Days

Mode: work from office(WFO)

Skills: Natural language processing(NLP) with Python / Java (Scripting), Machine Learning(AIML)

Roles and Responsibilities:

Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow

Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets

Good understanding of Machine Learning & Deep Learning

Additional Skills:

Kubernetes: Strong experience in deploying and scaling applications, managing secrets, and troubleshooting within Kubernetes environments. K8s networking, CNI, VLAN and CNS

Google Cloud : Familiarity with Google Cloud Build, Cloud Deploy,Cloud Functions, Secret Manager, GCS-storage

Virtualization & Containerization : Understanding of virtualization concepts and experience with containerization technologies, including KubeVirt. Proficient in building and deploying containers

CI/CD, DevOps : Experienced in automating build processes, module testing, static code analysis, integration testing, application packaging, vulnerability scanning, and release management.

Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.

Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.

Overview

Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the worlds biggest challenges.

Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.

As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be!

Responsibilities

Develop tools, APIs and pretrained models for geospatial AI

Integrate ArcGIS with popular deep learning libraries such as PyTorch

Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants

Develop APIs and model architectures for natural language processing and deep learning on unstructured text

Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries

Curate and pre/post-process data for deep learning models and transform it into geospatial information

Perform comparative studies of various deep learning model architectures

Requirements

2 to 6 years of experience with Python, in data science and deep learning

Self-learner with coursework in and extensive knowledge of machine learning and deep learning

Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas

Expertise in one or more of these areas: Experience with transformer-based models Large language models and experience building applications using them Experience of working on NLP based tasks such as recommender system, summarization, and more

Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries

Experience with hyperparameter-tuning and training models to a high level of accuracy

Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges

Existing work authorization for India

Recommended Qualifications

Familiarity with ArcGIS suite of products and concepts of GIS

Familiarity and experience using langchain/AutoGPT/BabyAGI

#LI-Onsite

#LI-PK1

About Esri

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifes best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esris Racial Equity and Social Justice initiatives, please visit our website .

If you dont meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Requisition ID: -

About Company:

It is a global MNC Service based.

Experience: 3 to 6Years

Location: Bangalore

Notice Period: Immediate to 45 Days

Mode: work from office(WFO)

Skills: Natural language processing(NLP) with Python / Java (Scripting), Machine Learning(AIML)

Roles and Responsibilities:

Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow

Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets

Good understanding of Machine Learning & Deep Learning

Additional Skills:

Kubernetes: Strong experience in deploying and scaling applications, managing secrets, and troubleshooting within Kubernetes environments. K8s networking, CNI, VLAN and CNS

Google Cloud : Familiarity with Google Cloud Build, Cloud Deploy,Cloud Functions, Secret Manager, GCS-storage

Virtualization & Containerization : Understanding of virtualization concepts and experience with containerization technologies, including KubeVirt. Proficient in building and deploying containers

CI/CD, DevOps : Experienced in automating build processes, module testing, static code analysis, integration testing, application packaging, vulnerability scanning, and release management.

Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.

Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.

**Hungry, Humble, Honest, with Heart.**
**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

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
 

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 (., 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, .

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 : / 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, 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 (., 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.

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Job Title - NLP and ML Engineer

Technology - Machine Learning(ML), Natural Language Processing (NLP)

Experience - 5 to 8 years

Work nature - Remote

Location - Navi Mumbai, Pune, Bangalore

**Job Type**: Permanent

**Salary**: ₹50,000.00 - ₹100,000.00 per month

**Experience**:

- total work: 5 years (preferred)

**Speak with the employer**
+91

***Skill required**:Domestic Language - Telugu**
***Designation**:Customer Service Associate**
***Job Location**:Mumbai**
***Qualifications**:Any Graduation**
***Years of Experience**:1 to 3 years**

**About Accenture**:
**What would you do?**:
You will be aligned with our Business Process Delivery and help us supervise the day-to-day operational and administrative activities, ensuring all processes are followed/executed and deadlines are met. You will be a part of Domestic Language team which has a strong knowledge of cultural context in the transactions handling and is proficient in English and Hindi. Being fluent in reading and writing in a regional language would be an added benefit (Hindi, Tamil, Bengali or Urdu). You will be working on reviewing content in Telugu where the team focuses on reviewing photos, videos, and text-based content and make judgments as to whether reviewed content is in violation of our client's terms of services. They review content that may be sensitive in nature and ensure every piece of content in violation of the client's terms of services is accurately identified and flagged for action in a timely manner.

**What are we looking for?**:

- Agility for quick learning

**Roles and Responsibilities**:

- In this role you are required to solve routine problems, largely through precedent and referral to general guidelines
- Your primary interaction is within your own team and your direct supervisor
- In this role you will be given detailed instructions on all tasks
- The decisions that you make impact your own work and are closely supervised
- You will be an individual contributor as a part of a team with a predetermined, narrow scope of work
- Please note that this role may require you to work in rotational shifts

Any Graduation