6,714 AI Developers jobs in India

**Change the world. Love your job.**
Your career starts here! This is an exciting opportunity to design and develop innovative software solutions that drive TI's revolutionary product lines. We change lives by working on the technologies that people use every day. Are you ready for the challenge?
The Consumer Audio Amplifier and Haptics product line is hiring an Audio DSP Algorithm engineer to support its Smart Amplifier and haptics products. In this role you will be part of a team that develops and implements real-time audio processing solutions to deliver innovative audio and actuator controls through audio amplifiers and haptics. Candidate will be responsible for designing developing, optimizing, debugging and testing Audio and Haptics including speaker protection, audio enhancements, Haptics control and non-linear control algorithms. The candidate should be proficient in Matlab/Simulink, Python, embedded C. Engineer will collaborate with multiple teams across design, systems and application to integrate the algorithm on TI audio devices.
**Key responsibilities include:**
+ Design and implement Speech, Audio and haptics algorithms on Matlab/Simulink/Python and Implement on embedded C, neural network accelerators based Digital Signal Processors
+ Develop and optimize algorithm DSP algorithms to ensure real-time performance and minimal latency using signal processing and machine learning techniques
+ Participate in code reviews and create documentation for projects including block diagrams, state diagrams, coding specifications and product descriptions
+ Develop unit tests and performance benchmarks to validate algorithm performance and robustness. Analyze and debug issues related to audio quality and system performance
**Why TI?**
+ Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI ( Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
**Minimum Requirements:**
+ Master's degree with specialization in signal processing
+ 3+ years' experience in Audio signal processing algorithm development
+ MATLAB, Python, C programming experience required
+ Experience in audio, speech, DSP, and embedded systems.
+ Deep understanding of Signal processing, DSP fundamentals, Deep Neural Network preferably in audio
+ Hands-on experience in signal processing techniques such as digital filter design (IIR, FIIR), adaptive filtering, sub-band processing, frequency domain processing and non-linear compensation
+ Strong debugging/trouble-shooting skills of embedded systems
**Preferred Qualifications:**
+ Experience with digital signal processing techniques
+ Bringing up audio hardware and prototyping systems
+ Ability to work with a cross domain teams or independently as needed
+ Knowledge of AI/ML algorithms and tools such as PyTorch/Tensorflow, deep learning or natural language processing and familiarity with common neural network architectures namely LSTMs, CNNs and RNN is a plus
**ECL/GTC Required:** Yes

Our client is at the forefront of scientific innovation, seeking a brilliant and visionary Lead Quantum Computing Researcher to join their fully remote, world-class R&D team. This is a unique chance to push the boundaries of theoretical and applied quantum computing. You will be instrumental in developing novel quantum algorithms, exploring their practical applications across various scientific domains, and contributing to groundbreaking research that could redefine computational science. As a remote-first organization, we foster a collaborative and agile environment where innovation thrives regardless of geographical location.

Key Responsibilities:

• Lead the research and development of new quantum algorithms for complex problem-solving.
• Design and simulate quantum computing experiments and protocols.
• Analyze the performance and scalability of quantum algorithms on different hardware architectures.
• Collaborate with a multidisciplinary team of physicists, computer scientists, and mathematicians to identify high-impact research areas.
• Publish research findings in top-tier scientific journals and present at international conferences.
• Mentor and guide junior researchers and PhD students.
• Develop and maintain high-quality code for quantum simulations and algorithm implementation (e.g., using Qiskit, Cirq, Pennylane).
• Contribute to grant proposals and secure research funding.
• Stay at the cutting edge of quantum information science, quantum mechanics, and computational complexity theory.

Qualifications:

• Ph.D. in Physics, Computer Science, Mathematics, or a closely related field with a specialization in quantum computing or quantum information.
• A strong publication record in peer-reviewed journals and conference proceedings.
• Demonstrated expertise in developing and analyzing quantum algorithms (e.g., Shor's, Grover's, QAOA, VQE).
• Proficiency in programming languages such as Python, and experience with quantum computing libraries.
• Deep understanding of quantum mechanics, quantum information theory, and quantum error correction.
• Experience with quantum hardware platforms (superconducting qubits, trapped ions, photonic systems) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication skills, with the ability to explain complex concepts clearly.
• Proven leadership abilities and experience mentoring research teams.

This is an unparalleled opportunity for a researcher passionate about the transformative potential of quantum computing to drive significant scientific advancements from the comfort of their home office.

**Job Description:**
**Roles & Responsibilities:**
The Individual in this role will
+ Review Front Door and Jira documentation submitted to and created by the Algorithm Development team
+ Work with Focus Area Lead to analyze data feeds and provide feedback to STORM platform team regarding feed readiness. Document and capture feed information as part of feed onboarding process
+ Working with Focus Area Lead based on Work Plan, research threat scenarios determine data sets required, develop algorithms for threat detection.
+ Testing and onboarding alarms via team's processes.
+ Grow knowledge of CyberSecurity. Team processes, and Systems.
**Required Skills:**
+ Over 8 years' experience in Detection Engineering & Algorithm Development leveraging SIEM solutions & Other Security technologies.
+ Minimum of 5 years practical experience in **Java and Python**
+ Minimum of 5 years' experience working with **SQL and Splunk.**
+ Experienced in **Databricks** and **Linux** environments.
+ Experience with **REST APIs** is required
+ Experience with public cloud platforms, and Cybersecurity experience is highly recommended.
+ The role involves implementing solutions based on specified requirements and following internal processes. It also requires **writing tests against java and python code** .
+ The job will include growing the testing role and handling end to end testing.
+ The candidate must have excellent **analytical and problem-solving skills** , be self-motivated and work independently
**Desired Skills:**
+ Excellent communication skills including metrics/performance documentation/presentation, technical drawing/architecture origination and modification
+ Operates well under pressure and urgent circumstances
+ Self-reliant and diligent in follow-through for assigned tasks
+ Ability to work with a geographically disperse team
+ Engaged collaborator, contributor and team player
+ CISSP, CISM, SANS GIAC or relevant cybersecurity
+ Flexible to provide coverage in US morning hours on a need-basis, and as required
+ Experience working in an environment where coordination with multiple teams is essential to success
+ Ability to prioritize individual/group work in a high-stress and time-bound environment
+ Bachelor's / Master's degree in data science, Information Systems, Engineering, Mathematics. Computer Science or Cyber Security or equivalent experience.
**Additional information (if any):**
+ Should be flexible to provide coverage in US morning hours
+ Location: Hyderabad
**Location: Hyderabad**
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
+ Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
+ Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
+ Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
+ Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
+ Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
+ Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
+ Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
+ Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
Basic Qualifications
+ Bachelor's degree or related practical experience
+ 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
Preferred Qualifications
+ Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
+ 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
+ Understanding of standard programming and software engineering practices
+ Proven track record of publishing at academic and industry venues
+ Ability and eagerness to program
Suggested Skills
+ Machine Learning
+ Generative-AI
+ Large Language Models
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
**India Disability Policy**
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

**Job Summary**
+ NetApp is a cloud-led, data-centric software company that helps organizations put data to work in applications that elevate their business. We help organizations unlock the best of cloud technology.
+ In this role you will be developing a Cloud Orchestrator and help accelerate the leadership of NetApp in Hybrid Cloud globally. We expect you to be an excellent coder who will take a lead in design and implementation as per the requirements of a managed Cloud Services, and should be able to quickly learn the existing code & architecture.
**Job Requirements**
+ Proficient with Golang, experience with Python, Java/C-sharp is added advantage.
+ Hands-on Expertise in Container based technologies preferably Kubernetes & Dockers.
+ Thorough understanding and extensive experience with building orchestration on at least one of the major hyper-scaler cloud providers (AWS, Microsoft Azure, Google Cloud Platform)
+ Experienced with Cloud service APIs (e.g. AWS, Azure or GCP)
+ Experience working in SMB, NFS & internet security protocols
+ Expertise in REST API design and implementation
+ Thorough understanding of Linux or other Unix-like Operating Systems
+ Should own the deliverables from end-end, design, implement, test automation to ensure high quality deliverable
+ Experience of CI build systems or automated testing
+ Understands the design, architecture principles and best practices in Cloud along with cloud health monitoring, capacity metering, billing.
+ Highly knowledgeable in infrastructure like hypervisor, Cloud Storage and experience with cloud services including Databases, Caching, Object and Block Storage, Scaling, Load Balancers, Networking etc.
+ Highly motivated and self-driven.
**Education**
+ Minimum 5 years of experience and must be hands-on with coding.
+ B.E/B.Tech or M.S in Computer Science or related technical field

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.

Contributes in partnership with appropriate internal stakeholders to understand customer/user requirements for a feature. Understands proposals and develops an understanding of how to apply them under the technical leadership of others. Supports the identification of dependencies, and their incorporation into the development of design documents for a product feature with oversight. With guidance, learns how and creates and implements code for a product, service, or feature reusing code as applicable. Learns about and supports deployment to customers by following the correct measures to push features out to customers. Learns to contribute to efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms, and for allowing monitoring and investigating security-related concerns for both live and A/B experiments. Learns about and helps to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Develops knowledge of and learns to apply best practices to build code based on well-established methods and secure design principles. Works with partner teams to ensure a product feature works well with the components of the partner team with direct supervision before going live.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Coding: Learns to review code and helps to review code of others to ensure it meets team standards. Participates in code review processes for self-development, gathers feedback, and learns about coding standards and the team's features. Applies coding patterns and best practices. Learns how and begins to use automated source code analysis tools that are incorporated into the build/development process with minimal supervision. Develops and applies knowledge of debugging tools, tests, logs, telemetry, and other methods to begin supporting efforts to proactively flag issues before they occur for product features in production. Learns to conduct incident retrospectives to identify root causes of problems, and begins to implement repair actions with direct supervision. Grows understanding of and begins to apply least-access principles and uses logging, telemetry, and other appropriate mechanisms with direct supervision to investigate issues while retaining privacy and security.
+ Design: Understands proposals and develops an understanding of how to apply them under the technical leadership of others. With managerial guidance, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Produces code to test hypotheses for technical solutions and assists with technical validation efforts. Helps with and participates in the development of design documents that support simple user stories with oversight. Develops an awareness of the current technology landscape. Escalates findings from investigations to team members for design decisions. Learns about the implications of performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations in systems architecture. Begins to uphold Microsoft standards of security, privacy, and other compliance requirements in systems architecture. Develops an understanding of the importance of building solutions that expand upon the work of others. Contributes to the refinement and integration of feedback in product features by escalating findings from analyses to inform decisions regarding the engineering of products.
+ Engineering Excellence: Learns about and helps to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Contributes to efforts to check for visible evidence (e.g., audit trail) to demonstrate compliance for product features. Develops understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Develops an understanding of global and local regulations for technologies and system applications. Develops an understanding of and applies security best practices and establishes code invariants to model "security as code," ensuring each layer is independently secure, and minimizing risk with direct supervision. Begins to adopt security standards for clear security code review practices for a product feature that align with design and engineering principles to raise the security hardening for both protections and detections. Supports efforts to incorporate deployment gates on security controls, and scanners for a product feature to prevent regressions and/or vulnerabilities that would have customer impact.
+ Implement: Reviews work items to increase knowledge of product features in partnership with appropriate stakeholders (e.g., technical program managers) with guidance from more experienced peers. Supports team efforts on breaking down work items into tasks and providing estimation. Escalates issues that might cause a delay. Assists with ensuring required security protections and detection processes are accounted for in planning. Supports team efforts for ensuring project plans adhere to security, privacy, and compliance requirements with direct supervision.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR equivalent experience.
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check** : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR equivalent experience.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .