2,465 Microsoft AI jobs in India

We’re looking for an experienced AI Consultant to design and deliver AI-first solutions across the Microsoft ecosystem — including Copilot, Copilot Studio, Power Platform, Dynamics 365, and Azure AI services such as Azure OpenAI and AI Studio. You’ll work with business and technical teams to create secure, scalable, and intelligent solutions that drive real business value.

Key Responsibilities

• Design and implement custom copilots using Copilot Studio and Power Platform.
• Translate business needs into AI-powered architectures leveraging Dynamics 365 and Azure AI.
• Guide clients on Azure AI integration (OpenAI, Cognitive Services, AI Search).
• Ensure compliance with governance, security, and Responsible AI standards.
• Collaborate with architects and developers to ensure smooth delivery and adoption.

Requirements

• Hands-on experience with Copilot Studio, Power Platform, and Dynamics 365.
• Strong knowledge of Azure AI services (OpenAI, AI Studio, AI Foundry).
• Proven background delivering enterprise AI solutions.
• Microsoft certifications in Azure AI, Power Platform, or Dynamics 365 preferred.

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI.
The AI Engineer is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and **not a data science role** , which means you should be comfortable building production-ready systems. This is **not a research** role.
This is a Hybrid role in the HYD office, 3 days a week.
**Job Responsibilities:**
+ Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
+ Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
+ Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs.
+ Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics.
+ Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data.
+ Build and optimize production-ready systems that are scalable and can handle large amounts of data.
+ Build and optimize agentic systems that can reason and make decisions.
+ Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality.
+ Stay on top of AI and ML security and governance requirements.
**Basic Requirements:**
+ BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
+ At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies.
+ Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow.
+ Experience with CI/CD pipelines and automated testing.
+ High level of proficiency with Python and several ML frameworks.
**Preferred Requirements:**
+ Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage.
+ Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.

**Introduction**
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
**Your role and responsibilities**
A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems.
* Design and implement robust build automation systems that support large, distributed AI/C++/Python codebases.
* Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments.
* Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability.
* Lead the creation of portable, reproducible development environments, ensuring parity between development and production.
* Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation.
* Collaborate with cross-functional teams - including AI researchers, system architects, and mainframe engineers - to align infrastructure with strategic goals.
* Proactively monitor and improve build performance, automation coverage, and system reliability.
* Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams
**Required technical and professional expertise**
* 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms.
* Hands-on experience building and maintaining complex automation pipelines (CI/CD) using tools like Jenkins, or GitLab CI.
* In-depth experience with build tools and systems such as CMake, Make, Meson, or Ninja, including custom script development and cross-compilation.
* Experience working on multi-platform development, specifically on Linux and IBM z/OS environments, including understanding of their respective toolchains and constraints.
* Experience integrating native C++ code with Python, leveraging pybind11, Cython, or similar tools for high-performance interoperability.
* Proven ability to troubleshoot and resolve build-time, runtime, and integration issues in large-scale, multi-component systems.
* Comfortable with shell scripting (Bash, Zsh, etc.) and system-level operations.
* Familiarity with containerization technologies like Docker for development and deployment environments.
**Preferred technical and professional experience**
* Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments.
* Experience developing or maintaining software on IBM z/OS mainframe systems.
* Familiarity with z/OS build and packaging workflows,
* Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference).
* Knowledge of GPU computing and low-level profiling/debugging tools.
* Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments.
* Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space
* Proficiency in distributed systems, microservice architecture, and REST APIs.
* Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.
* Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
* Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
* Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
* Maintained high standards of code quality, performance, and security in AI projects.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Job Duties:** As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
**Key Responsibilities:**
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
**Minimum Skills Required: Required Qualifications**
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
**Preferred Qualifications**
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Job Duties: As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
Key Responsibilities:
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
Minimum Skills Required: Required Qualifications
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
Preferred Qualifications
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Job Duties:** As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
**Key Responsibilities:**
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
**Minimum Skills Required: Required Qualifications**
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
**Preferred Qualifications**
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Job Duties: As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
Key Responsibilities:
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
Minimum Skills Required: Required Qualifications
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
Preferred Qualifications
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Job Duties:** As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
**Key Responsibilities:**
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
**Minimum Skills Required: Required Qualifications**
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
**Preferred Qualifications**
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**