32,303 AI Engineer jobs in India

Description

/Preferred Qualifications

You will be part of a Artificial Intelligence and High Performance Computing group that develops algorithms and software solutions that enhance the performance of our inspection tools.

Your responsibilities will include:

Data/problem analysis

Research the solution space

Develop concepts

Prototype and validate concepts

Specify software requirements

Software/algorithm development (productization/programming)

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description

/Preferred Qualifications

Key Responsibilities

Develop algo focusing on optical modeling and computational geometry-based image processing algos and models

Stay updated  with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform’s capabilities.

Understanding on Graph algorithms , spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations

Required Qualifications

Education:  Master’s degree in Computer Science or a related field, or  Bachelor’s degree in Computer Science (or related) with at least 3 years  of hands-on image processing algos

Experience:  Minimum 3+ years  of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.

Programming Skills:  Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Proficiency in Python (especially with libraries like trimesh, numpy, scipy, pandas). Experience with C++ or Rust is a plus for performance-critical geometry tasks. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar.Good communication with the ability to write clean, efficient, and well-documented code.

Team Collaboration:  Strong communication skills and ability to work effectively in a cross-functional team  setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.

Adaptability:  A willingness to learn  new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment  where priorities may shift as the project grows

Preferred Qualifications (Nice-to-Haves)

HPC/Simulation Background:  Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform’s context

DevOps & CI/CD:  Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps , Jenkins, or GitHub Actions to automate build and deployment processes

.

Containerization & Cloud:  Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments

Minimum Qualifications

Master's Level Degree and 3+ years related work experience; Bachelor's Level Degree and 5+ years  of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description

/Preferred Qualifications

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Responsibilities

Design, development and implementation of cutting-edge deep computer vision, signal processing, traditional machine learning or image processing algorithms.

Rapid prototyping and validation of new image processing, machine learning related ideas.

Develop end to end solutions that are holistic considering the system, imaging pipeline, the user experience and the end application requirement 

Work in a highly cross functional organization to participate/drive systems integration of algorithms. 

Write robust production quality code. 

Own prototype to production of algorithms 

Strong background in one or more of the following areas:

Signal processing, machine Learning, deep learning, computer vision, image processing 

Proficiency in C/C++, Matlab, python and object-oriented design

Experience in design and rendering software is a plus

Knowledge of common deep learning frameworks like TensorFlow, PyTorch

Ability to formulate problems into mathematical equations. 

Team player with excellent written and verbal communication skills. 

Ability and willingness to travel worldwide to support demos and projects at customer sites. 

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Our client is at the forefront of scientific innovation and seeks a Lead Quantum Computing Researcher to spearhead algorithm development from their fully remote operations hub. This role is for a visionary scientist passionate about exploring the frontiers of quantum computation and translating theoretical concepts into practical, groundbreaking algorithms. The ideal candidate will possess a Ph.D. in Quantum Physics, Computer Science, Mathematics, or a related field, with a strong publication record in quantum information science. You will lead a team of researchers, guide research directions, and contribute to the design, implementation, and testing of novel quantum algorithms for various applications. Expertise in quantum programming frameworks such as Qiskit, Cirq, or PennyLane is essential. The ability to conceptualize and develop quantum error correction codes, quantum optimization algorithms, or quantum machine learning models is highly valued. You will collaborate with cross-functional teams, present findings at international conferences, and contribute to intellectual property development. This is a remote-first position, demanding self-motivation, excellent problem-solving abilities, and strong analytical and communication skills. We are looking for an individual who can inspire and mentor others, driving innovation in a challenging yet rewarding research environment. If you are ready to push the boundaries of what's possible in quantum computing, this is the opportunity for you.

Summary

Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

Role Description

• Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
• Experienced in multiple LLM fine tuning techniques.
• Experienced in building GEN AI solutions using RAG architecture.
• Skilled in both Lang Chain and Lang Graph.
• Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
• Experienced in multiple Vector Databases as well as Graph Database
• Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Skilled in API development and integrations.
Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
• Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js

What We’re Looking For

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

What You Should Expect in This Role

• Fully Remote Opportunity – Work from anywhere in India.
• Minimal Travel Required – Occasional travel opportunities (0-10%).
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Summary  

Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.  

Role Description  

•    Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.  
•    Experienced in multiple LLM fine tuning techniques.
•    Experienced in building GEN AI solutions using RAG architecture.
•    Skilled in both Lang Chain and Lang Graph.
•    Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
•    Experienced in multiple Vector Databases as well as Graph Database
•    Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
•    End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.  
•    Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.  
•    System Integration – Skilled in API development and integrations.
 Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.  
•    Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
•    Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.  
•    AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.  
•    Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.  
•    Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.  
•    Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js

What We’re Looking For  

•    Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.  
•    3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.  
•    Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.  
•    Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.  
•    Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.     
•    Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.  
•    Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).  
•    Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.  
•    Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.  

What You Should Expect in This Role  

•    Fully Remote Opportunity – Work from anywhere in India.
•    Minimal Travel Required – Occasional travel opportunities (0-10%).  
•    Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.  
 

**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
**Your role and responsibilities**
Machine Learning for IBM z/OS(MLz) is a key product bringing the AI and machine learning capabilities to IBM flagship enterprise server - IBM z. It provides the capabilities for customer to train, deploy, inference and monitor AI/ML models on z/OS, and empowers transactions and applications on IBM Z to infuse trustworthy AI at scale without impact the SLA.
The MLz development team is driving the product development and delivery lifecycle with continuous delivery approach and agile practices, including roadmap, design, development, testing, delivery and technical support of the product. The MLz development team is a global team with talents in US and India. Now, we're hiring developers with around 11 to 15 years of experience to strengthen the capacity of the team and work together to better execute our product roadmap.
**Required technical and professional expertise**
* Have development and DevOps skills
* Create pipelines and jobs in Jenkins
* Must be good in Python
* Scala OR Java expertise required
* Good exposure with z/OS systems
**Preferred technical and professional experience**
* Basic knowledge on Machine Learning
* Experience with docker
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**
At IBM, we're revolutionizing our approach to technology sales. Our Client Engineering teams are champions of co-creating solutions in real-time to solve complex business challenges.
As an AI Engineer within our Client Engineering team, you'll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our watsonx platform, creating 4-to-6-week pilots for clients, and contributing to IBM's story of growth and innovation.
In this role, you'll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation.
At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM's people, products, and services.
**Your role and responsibilities**
An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
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.
· Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
· Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
· 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**
* Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
* Technical Skills: 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.
* 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.
**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.
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.

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.
**Job Description:**
**The Impact You'll Make in this Role**
As an AI Engineer, you will be instrumental in designing, developing, and deploying AI-driven applications that enhance our product offerings. This role emphasizes the practical application of AI technologies to solve complex business challenges, focusing on integrating AI capabilities into scalable and reliable systems. You will collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into our products.
**Key Responsibilities:**
+ Build full-stack AI applications, including Retrieval-Augmented Generation (RAG), AI agentic systems, and intuitive UI/UX interfaces for user-centric experiences.
+ Develop AI-driven features using pre-trained models, APIs, prompt engineering, and custom integrations to meet specific business needs.
+ Evaluate, select, and fine-tune large language models (LLMs) and other AI models, balancing performance, scalability, accuracy, and resource constraints.
+ Optimize AI models and algorithms to enhance efficiency, reduce latency, and ensure scalability for production deployments.
+ Collaborate closely with product managers, software engineers, data scientists, and project managers to translate AI capabilities into innovative solutions.
+ Stay current with the latest advancements in AI technologies, practices, tools, and methodologies to continuously advance organizational capabilities.
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
+ Bachelor's degree in computer science, Artificial Intelligence, Data Science, or a related field.
+ 5+ years of experience building full-stack AI applications, including at least 1 year specifically in Generative AI.
+ Proven expertise in AI applications, including RAG solutions, AI agentic systems, and UI/UX design.
+ Experience evaluating, fine-tuning, and deploying large language models (LLMs) such as GPT, Claude, or similar LLMs.
+ Strong skills in prompt engineering, fine tuning to optimize AI model accuracy and relevance, perform benchmarking evaluations, and conduct model comparisons.
+ Demonstrated ability to optimize AI models for cost`, scalability, and low-latency performance.
Additional qualifications that could help you succeed even further in this role include:
+ Excellent communication and collaboration skills with product managers, data scientists, engineers, and stakeholders.
+ Familiarity with MLOps practices, including model lifecycle management and CI/CD.
+ Experience deploying AI applications on cloud platforms (AWS, Azure, GCP).
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
**Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.**
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At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.
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