19,446 AI & Emerging Technologies jobs in India

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Reviewing application requirements and interface designs
+ Identifying web-based user interactions
+ Developing and implementing highly responsive user interface components using react concepts
+ Writing application interface codes using Typescript following react.js workflows
+ Troubleshooting interface software and debugging application codes
+ Developing and implementing front-end architecture to support user interface concepts
+ Monitoring and improving front-end performance
+ Documenting application changes and developing updates
+ Use GitHub copilot, M365, PR Code Review and other AI Toolset on a daily basis
+ Support the QA team during testing via defect fixes, code deployment, clarifications
+ Adhere to proper use of source control
+ Responsible for ensuring delivery of technical artifacts for each project
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Standard education with a bachelors degree
+ 5+ experience working as a react.js developer and Java springboot
+ Experience working with Material UI
+ Experience with user interface design
+ Experience with browser-based debugging and performance testing software
+ In-depth knowledge of Typescript/JavaScript, CSS, HTML, and front-end languages
+ Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux Saga and Flux
+ Knowledge of AI Tools, Github Copilot, M365, PR Code Review, Stroy Craft etc.
+ Knowledge of performance testing frameworks including
+ Proven excellent troubleshooting skills
**Preferred Qualification:**
+ Experience with Jest
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#Gen

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
We are seeking an experienced Product Manager to lead the development of agentic and autonomous AI capabilities within the ServiceNow platform. This role is pivotal in shaping the future of AI-native implementations, enabling intelligent setup and configuration of enterprise workflows with minimal human intervention.
The ideal candidate is deeply passionate about AI platforms and brings proven experience both in the field of AI and in implementing ServiceNow solutions. They understand the critical role of data in building and scaling AI products, and thrive in fast-paced, ambiguous environments.
+ Own the product strategy and roadmap for product area, with emphasis on data ingestion, model lifecycle management, grounding, prompt orchestration, output validation, and autonomous implementations.
+ Partner with engineering and design to build robust, scalable platform components that address the unique challenges of implementations.
+ Leverage existing ServiceNow capabilities while identifying key innovations needed to unlock the full value of AI across the product portfolio.
+ Influence product teams to adopt Autonomous Implementation solutions to ensure long-term success for our customers
+ Collaborate with Outbound partners to deliver ecosystem-aligned, data-powered solutions to market.
+ Analyze competitive AI platform trends and identify whitespace opportunities to differentiate ServiceNow.
+ Engage deeply with customers in partnership with Research and Outbound Partners to drive adoption, gather feedback, and continuously iterate on the roadmap based on evolving enterprise needs.
+ Prototype and test new AI capabilities with cross-functional teams, translating early learnings into product direction.
+ Champion customer-centric thinking across the organization and be the voice of ServiceNow administrators, developers and implementers.
**To be successful in this role you have:**
+ Experience in building or managing AI platform capabilities, including data pipelines, model orchestration, LLM tuning, and evaluation frameworks, with a strong track record as an individual contributor.
+ Experience implementing ServiceNow or other Enterprise Platforms.
+ Strong understanding of the role of data in AI development-labeling, quality, governance, and how it impacts model performance and business outcomes.
+ 8+ years of enterprise software product management experience, with at least 5 in SaaS; AI/ML or data platform experience strongly preferred.
+ Lead, manage a high-performing team of product managers, leveraging exceptional leadership skills to inspire and motivate them to achieve exceptional results.
+ Entrepreneurial mindset with experience launching 0-to-1 products or platform capabilities; proven ability to scale offerings over time.
+ Obsession with product-market fit and delivering value at speed while maintaining a long-term architectural vision.
+ Proven collaborator with experience driving consensus and execution across engineering, design, sales, and customer success teams.
+ Analytical thinker with strong data literacy; able to connect technical metrics with product strategy and user outcomes.
+ Excellent communicator who can tailor messages to technical and business audiences alike, from LLM practitioners to C-suite stakeholders.
+ Comfortable navigating complexity and ambiguity, with a bias for action and continuous learning.
+ Thought leadership in Generative AI trends, AI safety and ethics, and enterprise AI adoption patterns.
FD21
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment
**Your role and responsibilities**
Role Overview:
We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills.
**Required technical and professional expertise**
Mandatory Skills:
* Strong proficiency in Python for ML.
* Good understanding of statistics, probability, and hypothesis testing.
* Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
* Hands-on with data wrangling, feature engineering, and preprocessing.
* Practical experience with at least one cloud ML platform (Azure ML, AWS SageMaker, or GCP Vertex AI).
* Experience with model deployment and lifecycle management (MLflow or similar).
**Preferred technical and professional experience**
Good to Have:
* Experience with NLP (transformers, embeddings) or Computer Vision (CNNs).
* Exposure to Databricks MLflow & Feature Store.
* Familiarity with big data frameworks (Spark, Databricks, Hadoop).
* Experience with real-time ML inference pipelines.
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.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
* We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
* Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive
* Day-to-Day Duties:
* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
* Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
* Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
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.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
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.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
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.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
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.

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
+ Experience in Machine Learning, AI Platform, Infrastructure Design, Data Analysis, Python, Java.
**Preferred qualifications:**
+ Master's degree or equivalent practical experience.
+ 2 years of experience with software development in one or more programming languages (e.g., Python, C/C++).
+ Experience with evaluating natural language and Generative AI systems.
+ Experience generating training or evaluation data using Generative AI systems.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.
**Responsibilities:**
+ Work on evaluation infrastructure projects that are critical to the success of AI projects for the Home Assistant. You will work with projects that directly impact the quality and velocity of Google Home products.
+ Design and implement new evaluation platform functionality, including handling of dialog, context and i18n.
+ Generate evaluation data for AI-based systems using crowd-compute and generative solutions.
+ Develop knowledge of eval solutions to accelerate quality iteration of AI systems.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience with software development in one or more programming languages.
+ 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
+ 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science or related technical field.
+ 5 years of experience with data structures/algorithms.
+ 1 year of experience in a technical leadership role.
+ Experience developing accessible technologies.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
**Responsibilities:**
+ Build comprehensive ML driven evaluations for AI systems (on-device, server based, private compute and Hybrid) and critical user journeys, designed to be adaptable across various applications across platforms and devices.
+ Build infrastructure and tooling needed to support evaluations across platforms and devices and drive visibility on performance at an executive level.
+ Build ML-based Auto raters for easy creation, execution scaling and evaluation.
+ Improve the scope and quality of datasets and Upstreaming new datasets and evaluations to Gemini OneRecipe (when applicable).
+ Leverage Software Engineer Agents to create agentic flows that automate evals creation.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: