13,195 Machine Learning Engineers jobs in India

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 platforms capabilities.

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

Required Qualifications

• Education: Masters degree in Computer Science or a related field, or Bachelors 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 platforms 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.

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 we invest 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 Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.

Job Description/Preferred Qualifications
Expected Background

• New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience.
• Hands-on experience with GPU programming using CUDA, OpenCL or SYCL, and modern CPU programming constructs such as those in C++-14 / C++-17/C++-20
• Exposure to profiling tools such as NSIGHT or VTUNE
• Strong foundation in computer architecture, with interest in high performance parallel processing at the device level (GPUs or CPUs/SIMD)
• Strong mental model of computational loads and ideas on how to map different algorithms to parallel architectures
• Self motivation and a desire to learn

Bonus Skills

• Previous experience or a curiosity to learn solution techniques for solving computational physics problems using modern HPC
• Experience with large-scale distributed HPC systems
• Familiarity with HPC frameworks like TensorFlow, JAX, Open AI Triton etc.

Minimum Qualifications
New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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 KLA's Careers website 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.

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 we invest 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. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

Job 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

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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 KLA's Careers website 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.

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 we invest 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. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

Job Description/Preferred Qualifications

• Technical Skills:

• Proficiency in conventional image processing techniques, including:

• Filtering (Gaussian, Median, etc.)

• Edge detection (Sobel, Canny)
• Thresholding, morphological operations, and histogram analysis

• Fourier Transforms

• Familiarity with classical computer vision methods, such as:

• Feature extraction (SIFT, SURF, ORB)

• Object detection using Haar cascades or contour analysis

• Image registration, geometric transformations, and camera calibration

• Hands-on experience with tools like OpenCV, scikit-image

• Expertise in C/C++, Linux Development.

• Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distributed applications.

• Analytical Abilities:

• Strong mathematical foundation in linear algebra, calculus and statistics.

• Ability to analyze, interpret, and troubleshoot visual data effectively.

• Excellent problem-solving skills and attention to detail.

• Soft Skills:

• Excellent communication and interpersonal skills.

• Willingness to learn and adapt to new technologies and customer environments.

• Ability to work independently and collaboratively in cross-functional teams.

• Mobility & Commitment:

• Willingness to travel to customer sites for long-term support engagements.

• Availability for on-site assignments lasting 12 months or more, depending on project requirements.

Bonus Qualifications
:

• Academic projects or internships involving image analysis or computer vision.
• Exposure to machine learning or deep learning for visual tasks.

Minimum Qualifications
Master's Level or PhD Degree with 0-3 years related work experience;

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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 KLA's Careers website 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.

Your Responsibilities

• Research, develop, benchmark, test and document state of the art algorithms for autonomous driving.
• Research new vision and other sensor technology, ideas, and approaches.
• Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
• Contribute to design reviews across algorithm teams.
• Consider next generation algorithms and new business opportunities.
• Develop algorithms with a view to implementing on embedded platforms.
• Represent Valeo anSWer at various Industry Working Groups and at Conferences.
• Support the design and implementation of in-company training sessions in your area of expertise.
• Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques.
• Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm development

Minimum Qualifications

• Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field
• 2-6 years relevant experience in AI / DL development
• Strong knowledge of deep learning concepts and computer vision
• Experience with object detection models such as YOLO and semantic segmentation
• Expertise in python programming and strong software engineering practices
• Proficiency with version control tools such as git, bash scripting, and automation
• Excellent analysis & trouble-shooting skills using a structured documented approach
• Excellent communication skills, both written and verbal
• Confident, collaborative, self-motivated, determined & energetic

Highly Desirable Qualifications

• Specialization in one or more of these areas preferred: Transformers, Multi-task learning, Optimization, and Multi-modal models.
• Experience designing complex systems with multiple algorithms or modules
• Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV.
• Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion.
• Experience developing algorithms for autonomous and/or real-time systems.
• Deep knowledge of camera systems.
• Automotive industry experience.

Company Description

Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations. Giggso provides a single integrated platform for AI Agent orchestration, AI governance, monitoring and observability, incident management, automation, and remediation.

The platform is web 3.0 and blockchain-enabled, offering Model Risk Management solutions. Giggso aims to enhance decision-making and drive efficiency in AI ML systems for better customer experiences and cost management.

Role Description

This is a full-time hybrid role for a Machine Learning Engineer at Giggso, located in Chennai with flexibility for remote work. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, implementing statistical analysis, and optimizing algorithms for AI ML systems. The role involves working on complex AI ML systems and contributing to operational efficiency and risk management.

Qualifications

• Pattern Recognition, Neural Networks, and Algorithms skills
• LLM programming with strong NLP background
• Strong background in python and math reasoning
• Proficiency in Statistics
• Ability to develop and optimize algorithms for AI ML systems
• Experience with pattern recognition and neural network modeling
• Knowledge of statistical analysis techniques
• Demonstrated expertise in algorithm design and implementation
• Strong problem-solving and analytical skills
• Understanding of model deployment and monitoring processes
• Master's is needed while PhD in Computer Science, Statistics, or related field is a plus

Job Description:

• Development, adaptation, and implementation of AI/ML algorithms and frameworks, Prediction algorithms
• Developing deep learning and machine learning algorithms (CNN, object detection, segmentation, SVM, AE)
• Time series forecasting: AR, ARIMA, SARIMA, ES, Prophet, LSTM
• Conduct data preprocessing, augmentation, and annotation workflows for image datasets.
• Design, train, and validate deep learning architectures for feature identification using CNN, ResNet,
• EfficientNet, YOLO, U-Net, Mask R-CNN, ViT/Swin Transformer.
• Develop clean, modular, and production-ready code for model training, inference, and deployment.
• Collaborate with domain experts to translate agricultural knowledge into AI models.
• Support integration of models with mobile application (through APIs and deployment-ready formats like TensorFlow Lite / ONNX).
• Write unit tests, integration tests, and documentation to support long-term use of the framework.
• Document methodologies, benchmarking reports, and prepare technical handover materials.

Minimum Qualifications and Experience:

• B.Tech in Computer Science, Electronics and Communications or any related field with 3-5 years of relevant experience

OR

• M.Tech in Computer Science, Electronics and Communications or any related field with 2-3 years of relevant experience

Required Expertise:

• Strong hands-on experience with Python and ML/DL frameworks (PyTorch, TensorFlow, Keras).
• Proficiency in computer vision techniques – CNNs, object detection (YOLO/SSD), segmentation (U-Net/Mask R-CNN), Vision Transformers (ViT, Swin Transformer, DeiT).
• Libraries: NumPy, Pandas, OpenCV, Scikit-learn, Matplotlib/Seaborn.
• Knowledge of model optimization for deployment (quantization, pruning, TensorFlow Lite, ONNX).
• Experience in developing APIs (Flask/FastAPI) for model serving.
• Familiarity with ETL processes, data pipelines, and statistical validation methods.
• Basic understanding of Docker and version control (Git) and experience with MLOps tools
• Ability to write production-grade Python code following best practices (modular design, logging, testing, error handling)
• Understanding of statistical analysis such as normality test, dicky fuller test etc

Location of work:

• TIH-IoT, IIT Bombay Campus, Powai, Mumbai .

Location: IN - Hyderabad Telangana

Goodyear Talent Acquisition Representative: Arpan Hazra

Sponsorship Available: No

Relocation Assistance Available: Yes

Job Description
Roles and Responsibilities:

• Develop and implement algorithms that fuse vehicle signals (e.g., CAN, IMU, TPMS) and tire-mounted sensor data using estimation techniques such as Kalman filters, observers, and machine learning.
• Design signal processing pipelines to extract features and insights from high-frequency sensor data collected on tire and vehicle platforms.
• Build and validate models (both physics-based and machine learning) for estimating tire wear, load, friction, slip, road surface condition, and other performance-relevant quantities.
• Collaborate with vehicle dynamics experts to ensure physical fidelity and robustness of the algorithms.
• Translate algorithms into embedded, real-time software suitable for deployment on on-tire or in-vehicle systems.
• Benchmark algorithm performance under varying road, load, and environmental conditions.

Basic Qualifications

• Bachelors or MS in Mechanical Engineering, Electrical Engineering, Controls, or a related field with 5+ years of experience.
• Proven expertise in vehicle dynamics, tire mechanics, and estimation or signal processing algorithms.
• Hands-on experience in Kalman filtering (EKF/UKF), particle filters, observer design, and machine learning for time-series data.
• Experience with physics-based modeling tools (e.g., MF-Tyre, FTire, CDTire) and multibody simulation platforms (e.g., CarMaker, VI-Grade, CarSim).
• Strong programming skills in MATLAB/Simulink, Python, and embedded environments.
• Familiarity with embedded system constraints, lightweight model deployment, and automotive-grade software development.

Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law.

Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to