31 Gan Jobs

Role & responsibilities : 1.Design and implement anomaly detection models using statistical and unsupervised learning techniques. 2.Optimize AI models for edge devices. 3.Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. 4.Utilize deep learning architecture such as CNNs, RNNs, LSTM, GRU, and GANs. 5.Perform model evaluation, optimization, cross-validation, and hyperparameter tuning. 6.Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. 7.Collaborate with cross-functional teams to translate business needs into AI-powered solutions. Good to have: 1.Sensor data processing (noise reduction, feature extraction, preprocessing techniques). 2.Gen AI and applying RAG technique would be added value. Interested candidate kindly share me your updated CV at jeeva@bvrpc.com

Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Function Description: With a focus on digitization, innovation, and analytics, the Global Decision Sciences (GDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of GDS is the integration of diverse skills across all of its remit. GDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The Amex AI Labs of American Express Corporation is looking for best in class Senior Research Engineers to work in a dynamic and rewarding workplace. Amex AI Labs is currently co-located in Bangalore, Gurgaon and New York and involves dynamic and talented researchers with Ph.D. or Master's degree from top tier institutes in India and abroad having research and product development expertise in AI/ML technologies such as - Deep Learning, Data Science, Natural Language Processing, Cloud Technologies and related technical areas. Going beyond building products and solutions for traditional financial domains such as credit and fraud, the team is also working on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems, in a domain-agnostic manner, for American Express. Purpose of the Role: Collaborate on next generation research services in the areas of Artificial Intelligence (AI) to aid solutions to complex business problems for American Express Responsibilities: Amex AI Labs is looking for individuals with AI R&D background for AI Research & Services team in Bangalore/Gurgaon. The team works on handling capabilities centred on Document Analysis, NLP, AI research from conception to launch. Successful candidates are expected to partner with different business and technology teams in American Express to build capabilities for high impact use-cases. We are looking for extremely agile and entrepreneurial candidates who will help innovate and execute product initiatives across the company. . Lead the ideation and launch of innovative AI/ML capabilities & services . Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc . Understanding Generative AI based closed source models like ChatGPT, Claude, Llama for different usecases . Fine Tuning open source models like Llama and other models on domain specific data . Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure . Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data . Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams . Authoring and publishing papers, adopting open source tools, presenting in conferences, conducting R&D driving company revenue. . Innovate ways to evangelize the product to drive Amex wide user adoption . Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact . Evaluate prospective features in AI Services and ability to prioritise them with changing requirements in the direction of AI adoptions. Leadership Outcomes: . Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings . Demonstrate learning agility, make decisions quickly and with the highest level of integrity . Lead with a digital mindset and deliver the world's best customer experiences every day Minimum Qualifications Strong Internal Candidate Preferred . 5+ years of building machine learning models using advance AI techniques 4-5 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment. . Experience in leveraging Agile, Scrum or other rapid application development methodologies Undergraduate/Master's/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute. Preferred Qualifications Technical Skills: 1. Good coding skills in Python, SPARK, Hive, GIT, API 2. Good Understand of Deep Learning Algorithms 3. Superior math & programming skills and hands-on experience in machine learning tools 4. Understanding of how CI/CD works 5. Exposure to Public Cloud Deployment (AWS, GCP) 6. Proficient in statistical techniques 7. Background in Natural Language Processing - with hands on experience in frameworks like langraph, langchain, vector databases, Agentic frameworks Behavioral Areas: Enterprise Leadership Behaviors . Set The Agenda: Put Enterprise Thinking First, Lead with an External Perspective . Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential . Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Dear Candidate, One of our leading IT MNC is looking for GenAI Analyst in Hyderabad and Pune on Immediate basis. Job Title: GenAI Analyst Location: Pune or Hyderabad, India Experience - 6 -10 Years Notice- 15 days or less Mode of work: Hybrid (2 days WFO) Experience : 6+ years of hands-on experience in generative AI, machine learning, and deep learning, with a focus on model development, deployment, and optimization. Strong track record of deploying successful AI solutions in production environments across industries such as technology, finance, healthcare, etc. Proven experience in leading and mentoring teams of AI professionals. Expertise with popular AI frameworks and libraries, including TensorFlow, PyTorch, Hugging Face, OpenAI API, and others. Technical Skills : Expert-level proficiency in Python, R, or other AI/ML programming languages. Extensive experience with large-scale machine learning systems and cloud platforms (AWS, Azure, Google Cloud). Familiarity with AI deployment tools (e.g., Docker, Kubernetes, CI/CD). In-depth knowledge of generative AI models like GPT, BERT, DALL-E, GANs, and diffusion models. Strong understanding of model interpretability, NLP, and multimodal AI techniques. If interested, Send CVs to anji.g@kanarystaffing.com

As an AI Engineer specializing in Computer Vision at Techwave, you will be utilizing your expertise in developing and deploying deep learning models for image and video analysis. With 3 to 4 years of experience, you will be working on cutting-edge vision AI projects, optimizing models for real-world applications. Your responsibilities will include developing, training, and optimizing computer vision models for object detection, segmentation, classification, and recognition. You will implement deep learning architectures using frameworks like TensorFlow, Pytorch, and Keras. Additionally, you will utilize OpenCV and other image processing libraries for feature extraction and enhancements. Your role will involve optimizing AI models for speed, accuracy, and real-time processing on cloud environments, as well as preprocessing and augmenting large datasets to improve model generalization and accuracy. Moreover, you will be responsible for deploying models into production environments, integrating them into applications and services, and working with cloud platforms such as AWS or Azure for scalable AI deployments. Collaboration with ML engineers and data scientists to build AI-powered applications will be an essential part of your role, requiring you to stay up to date with the latest advancements in computer vision and deep learning. To excel in this role, you should possess 3 to 4 years of experience in computer vision and AI model development, along with strong programming skills in Python. Proficiency in deep learning frameworks like TensorFlow, PyTorch, and Keras is crucial. Experience with OpenCV, NumPy, and other image processing tools is also required. A strong understanding of CNNs, object detection models (YOLO, Faster R-CNN, etc.), transformers, and GAN for computer vision tasks is essential. Familiarity with model deployment on cloud platforms such as AWS or Azure is preferred, as well as experience in NoSQL databases like MongoDB or Cassandra. If you are passionate about leveraging your skills in AI and computer vision to drive innovation and make a significant impact, we invite you to join our dynamic team at Techwave and be a part of our journey to push the boundaries of what's possible.,

This is a part-time on-site role for a Freelance Visiting Faculty/Corporate Trainer specializing in Data Science and Machine Learning. You will be responsible for conducting training sessions and sharing your expertise in the field with the participants. The location for this role can be in Mumbai, Coimbatore, or Trichy. To qualify for this position, you should possess: - Proficiency in Data Science and Machine Learning concepts - Previous experience in teaching or training in the field of Data Science and Machine Learning - Strong communication and presentation skills - Expertise in relevant tools and technologies commonly used in Data Science and Machine Learning - Good knowledge of ML frameworks such as TensorFlow and PyTorch - Decent understanding of Generative AI, GAN, and LLM - Strong skills in Data Science, Machine Learning, Model deployment, and cloud platforms In terms of educational background, we are looking for candidates with a Masters of Engineering (M.Tech/ME/MS) in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related fields. Additionally, you should have at least 8 years of experience as an AI/ML practitioner, researcher, or corporate trainer.,

You will be responsible for researching, designing, developing, and deploying advanced predictive machine learning models in a hands-on manner. Additionally, you will be developing and implementing systematic trading strategies based on the model predictions. Your role will involve reading financial literature and academic papers to identify market inefficiencies and gain inspiration. You will need to form hypotheses about market patterns and dependencies and rigorously test them. It is essential to think creatively, innovate, and solve complex problems in this role. You will also be expected to learn about financial markets and instruments to predict their future performance, contributing to the development of best practices within the firm. To excel in this position, you should have an eagerness to learn about financial markets and ways to predict the performance of businesses and their stock prices. A minimum of 5 years of experience in analyzing large amounts of data using Python or R is required. Extensive experience in training and implementing models with Scikit-learn, Pytorch, and/or Tensorflow is essential. You should have a solid understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression. A proven track record of dedication and perseverance in solving complex problems is highly valued. Excellent English communication skills, both written and oral, are a must. Soft skills are also crucial for this role. You should possess excellent communication skills, both written and oral, along with self-awareness, intellectual curiosity, and a team-player mentality. Being a self-starter, enthusiastic, and positive thinker will contribute to your success in this position. In addition to the aforementioned requirements, it would be advantageous to have a degree in a technical or quantitative discipline like statistics, mathematics, physics, electrical engineering, or computer science. Exposure to packages such as pandas, NumPy, stats models, sklearn, scipy, matplotlib, and TensorFlow is beneficial. C++ experience is considered an advantage. An interest or experience in machine learning techniques, time series analysis, and econometrics is preferred. Experience in Deep Learning, including DNN, CNN, RNN/LSTM, GAN, or other autoencoders, is a plus. This opportunity is with Nirvana Solutions and was posted by Aayushi K.,

You will be joining Jaguar Land Rover, an innovative, trusted, and pioneering company known for its performance, luxury, and excellence across all products. As a Sr. Power Electronics Semiconductor Application Engineer, you are expected to have 6-12 years of experience and possess certain skills, experience, and qualifications: - Demonstrate in-depth knowledge of power electronic components and principles. - Expertise in power semiconductor device characterization, with the ability to evaluate device performance. - Experience with Si, SiC MOSFETs/JFETs, GaN, and other wide bandgap devices preferred. - Proficiency in simulating power semiconductor devices for power electronics applications. - Deep understanding of power modules/discretes, including die construction, packaging, materials, and parasitics. - Design gate drivers optimized for performance, cost, and modularity. - Hands-on experience in designing and preparing power stacks for prototypes. - Develop test benches for functional evaluation of power modules/discretes. - Build and model high-voltage power electronics systems within an electrical powertrain. - Experience in electrical modeling, including inverters, DC-DC converters, OBC, BMS, and power supplies. - Solve power electronics quality issues for xHEV and BEV vehicles. - Proficiency in simulation tools such as PSpice, LTSpice, MATLAB, or PSIM. - Hold a Bachelor's degree in Electrical or Electronics Engineering. Desirable qualifications include: - Master's degree in Electrical or Electronics Engineering. - 5+ years of experience in semiconductors and power electronics design. - Solid understanding of power semiconductor devices and their physics. - Experience in power loss calculations, parameterization, and 1D thermal modeling. - Work experience in high-voltage and high-current systems. - Familiarity with e-circuit breakers, e-fuses, and DC-DC converter design. - Hands-on experience with inverters, DC-DC converters, OBC, BMS, and power supplies. - Knowledge of EMI/EMC considerations in power electronics design. - Understanding of high-voltage and high-current PCB design. Key Interactions will involve collaborating with various teams such as HV Design & Test Team, LV Design & Test Team, Product Owners & Scrum Master, Systems Engineering Team, Embedded SW Team, Mechanical Design Team, Thermal Team, HV System Team, and Materials Team. In terms of personal profile, you should: - Have a customer-first mindset and deliver personalized, transparent, and dependable experiences. - Be results-driven and able to deliver operational plans in a demanding environment. - Possess a passion for continuous technical improvement and creating differentiating products. - Follow accurate and robust working practices. - Prioritize workload effectively. - Communicate complex ideas clearly. - Be an effective collaborator and support team members. Desirable traits include being resilient, enthusiastic, able to deliver results under pressure, excellent communication and people skills, with strong influencing and engagement abilities.,

Techwave , we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do. Join us! Who are we Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT). Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth. Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible. And we want YOU to be a part of it. Job Title :AI/ML Engineer Experience: 3+ Years Mode of Hire: Fulltime AI Engineer- Computer Vision We are looking for an AI Engineer specializing in Computer Vision, Machine Learning & Image Processing with 3 to 4 years of experience in developing and deploying deep learning models for image and video analysis. The ideal candidate will work on cutting edge vision AI projects, optimizing models for real-world applications. Key Responsibilities Develop, train and optimize computer vision models for object detection, segmentation, classification, and recognition. Implement deep learning architectures using frameworks like TensorFlow, Pytorch, and Keras. Utilize Open CV and other image processing libraries for feature extraction and enhancements. Optimize AI models for speed, accuracy, and real-time processing on cloud environments. Preprocess and augment large datasets to improve model generalization and accuracy. Deploy models into production environments, integrating them into applications and services. Work with cloud platforms (AWS or Azure) for scalable AI deployments. Collaborate with ML engineers and data scientists to build AI-powered applications. Stay up to date with the latest advancements in computer vision and deep learning. Required Skills: 3 to 4 years of experience in computer vision and AI model development. Strong Programming skills in Python. Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras). Experience with OpenCV, NumPy and other Image processing tools. Strong understanding of CNNs, Object detection models (YOLO, Faster R-CNN, etc), transformers and GAN for computer vision tasks. Strong Understanding with OpenCV, and Image processing tools. Familiarity with model deployment on cloud (AWS/Azure). Experience in NoSQL databases like MongoDB or Cassandra is preferred. Ability to deploy models in Cloud Environment.

What We offer: At our headquarters in Noida, you will find an innovative international automotive environment that is at the same time familiar and appreciative. Exciting tasks with interesting and secure prospects in a global company Attractive salary Very good professional and personal development Work with a cutting-edge team in a rapidly growing field. Collaborative environment with world-class experts in AI, imaging, and embedded systems. Role & responsibilities: Lead the design, development, and optimization of AI/ML algorithms for ADAS functionalities such as object detection, lane detection, pedestrian recognition, and path planning. Develop multi-sensor fusion frameworks involving cameras, radars, LIDAR, and IMUs for perception and localization. Drive the deployment and inference optimization of ML models on edge computing platforms (e.g., NVIDIA Jetson, Qualcomm, TI, or custom SoCs). Mentor and guide a team of algorithm engineers and researchers to meet technical milestones. Collaborate with cross-functional teams (hardware, systems, validation, cloud) to ensure system-level performance and safety. Ensure alignment with ASPICE, ISO 26262, and other automotive standards. Conduct regular code and architecture Preferred candidate profile: 6-10 years of experience in AI/ML algorithm development, with at least 5 years in the ADAS domain. Master's degree or higher in Computer Science, Electrical Engineering, or a related field. Ph.D. is a plus. Strong background in automotive (ADAS, DMS, object detection) Experience in leading algorithm integration into production ADAS ECU/software platforms. Excellent communication, leadership, and mentoring abilities. Technical Skills : Programming: Python, C++, TensorFlow, PyTorch, OpenCV. Algorithms: Image enhancement, super-resolution, denoising, segmentation, feature extraction. ML Techniques: CNNs, GANs, transformers for vision, classical computer vision. Domain Knowledge: Automotive standards (ISO 26262, ASPICE), DICOM, HL7, medical imaging formats. Optimization: Quantization, pruning, real-time inference on GPUs, NPUs, embedded systems. Tools: Docker, Kubernetes, CI/CD, cloud platforms (AWS, Azure, GCP). Data Handling: Large-scale image datasets, annotation workflows, synthetic data generation. Deployment: Edge devices (NVIDIA Jetson, Qualcomm, TI)

The successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products, and intelligent 3D interfaces. You will work on cutting edge products and technologies in highly challenging domains and will need to have the highest level of commitment and interest to learn new technologies and domain-specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods. Your skillset and expertise should include: - Strong software development experience using Python - Strong background in mathematical, numerical, and scientific computing using Python - Knowledge in Artificial Intelligence / Machine learning - Experience working with SCRUM software development methodology - Strong experience with implementing Web services, Web clients, and JSON protocol is required - Experience with Python Meta programming - Strong analytical and problem-solving skills - Design, develop, and debug enterprise-grade software products and systems - Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools - Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local Indian languages - Ability to effectively communicate product design, functionality, and status to management, customers, and other stakeholders - Highest level of integrity and work ethic Frameworks you should be familiar with include: - Scikit-learn - Tensorflow - Keras - OpenCV - Django - CUDA - ReactJS - SVN - Apache Kafka Your mathematics background should cover: - Advanced Calculus - Numerical Analysis - Complex Function Theory - Probability You should be familiar with one or more of the following concepts: - OpenGL-based 3D programming - Cryptography - Artificial Intelligence (AI) Algorithms - Statistical modeling - DNN - RNN - LSTM - GAN - CNN Education Qualification: Bachelor, Master, or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills Location: Hyderabad, Bengaluru, Delhi, If needed Client Locations Please send your resume to hr@meslova.com,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

As a Sr. MMIC Design Engineer with 5 to 10 years of experience, you will be an integral part of our team at LTST-L&T Semiconductor Technologies Limited in Bengaluru. Your role will involve working with cross-disciplinary teams to develop cutting-edge next-generation MMICs for deployment in space and ground infrastructures globally. Responsibilities: - Derive hardware specifications for the RF system and MMIC blocks. - Develop MMIC products from initial specification to mass production, ensuring compatibility in all aspects of system implementation. - Simulate and model MMIC front end circuits at both circuit and electromagnetic levels, collaborating with system architects and engineers from various domains. - Package and implement MMICs, working closely with RF engineers and PCB designers. - Evaluate, characterize, and analyze the performance of MMIC prototypes. - Assist in developing automated test equipment for lab measurements. - Collaborate with manufacturing engineers on the production testing of MMIC components and RF systems. - Mentor junior engineers by reviewing designs, sharing best practices, and guiding them through the MMIC design process. Basic Qualifications: - Bachelor of Technology (BTech) or higher degree in an engineering discipline. - 5+ years of experience in RF/microwave circuit design, with expertise in GaAs and/or GaN MMIC design. Preferred Skills and Experience: - Master's degree or PhD with a focus on MMIC design, RF/microwave circuits, or electromagnetic theory. - Proficiency in MMIC design for RF front end blocks across various frequency ranges. - Experience with RF/microwave design tools such as ADS, HFSS, AWR, etc. - Knowledge of RF/microwave design in different frequency ranges. - Familiarity with radio-related test equipment and digital communication systems. - Understanding of electromagnetic propagation and antenna systems. Soft Skills: - Excellent communication skills, both verbal and written. - Proactive team player with the ability to take ownership and finish tasks efficiently. - Fast learner with good problem-solving skills. - Willingness to work long hours and weekends as needed to support critical milestones.,

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

Role: Gen AI Developer Location: Hyderabad, Bangalore, Chennai Experience: 5+ Work mode: Work from office only Role: We are seeking a highly skilled and experienced Generative AI Specialist with a strong background in Artificial Intelligence and Machine Learning. The ideal candidate will have 5+years of hands-on experience in developing and deploying AI/ML models, with a specific focus on generative technologies. This role requires a creative and analytical thinker who can leverage the latest advancements in AI to create innovative solutions and drive our projects forward. Key Responsibilities and Skillsets Design, develop, and implement generative models using state-of-the-art techniques in AI and ML, such as GANs, VAEs and Transformer-based architectures Work on reinforcement learning and generative adversarial networks Familiarity with data engineering and big data technologies. Understanding AI deployment Strong programming skills in Python including TensorFlow, PyTorch, Keras, Apache Spark, Hugging Face transformers Comfortable working with large scale datasets, distributed computing frameworks Innovative thinker with a passion for exploring new ideas and pushing the boundaries of generative AI. Qualifications: Proven experience in developing and deploying generative AI models. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience in natural language processing (NLP) and computer vision. Publications in top-tier AI/ML conferences or journals. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience in natural language processing (NLP) and computer vision

As a Global Data Scientist II at Worley, your main responsibility will be to understand business objectives and develop models to help achieve them. You will be utilizing existing frameworks and standards to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class. Managing the Data Science project life cycle from exploratory data analysis to productization will also be a key aspect of your role. You will collaborate with Architecture, Data Warehouse, and Data Governance teams to provide analytics as a service, mentor team members for AI/ML development, and ensure data quality through data cleaning and acquisition processes. Your role will involve defining validation strategies, preprocessing or feature engineering on datasets, data augmentation pipelines, training models, and tuning hyperparameters. You will also be responsible for analyzing model errors, designing strategies to overcome them, and deploying models to production. Development of ML algorithms to solve problems and exploring and visualizing data to gain insights will be part of your daily tasks. To succeed in this role, you should have proven experience as a Data Scientist in AI/ML or similar roles, with the ability to write robust code in Python. Experience in Generative AI components, supervised/semi-supervised and unsupervised machine learning algorithms, cognitive APIs, NLP, image processing with deep learning, and the complete AI/ML project life cycle is required. Strong knowledge of data structures, data modeling, and software architecture is essential. In addition to technical skills, you should possess outstanding analytical and problem-solving abilities, excellent communication skills, and the capacity to work independently or as part of a cross-domain team. Taking ownership of tasks and being accountable for deliverables will be crucial in this role. To qualify for this position, you should have a minimum of 4-7 years of experience as a Data Scientist on AI and ML projects and hold a Masters in information technology, Big Data, Data Science, AI, Computer Science, or a related field. At Worley, our focus is on fostering a values-inspired culture that encourages belonging, connection, and innovation. We are committed to reskilling our workforce and supporting their transition to becoming experts in low carbon energy infrastructure and technology. Join us to broaden your horizons, explore diverse opportunities, and contribute to delivering sustainable change.,

As a Firefly models & Services architect within Adobe's Firefly Gen AI Models and services group, you will play a crucial role in supporting the creation, enhancement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will be essential in shaping the future of digital experiences by architecting the pipelines of the future foundation models at Adobe. You will collaborate closely with a talented team of ML and service engineers to drive innovation and bring impactful features to Adobe's products, reaching millions of users worldwide. Your responsibilities will include designing and optimizing large-scale foundation model pipelines in Generative AI, developing GenAI backend services for Firefly, and collaborating with Applied researchers and engineers to bring ideas to production. As a technical leader, you will provide mentorship to junior team members, explore new ML technologies to enhance engineering effectiveness, and contribute to the continuous improvement of Adobe's GenAI engineering processes. Your strong communication skills, technical leadership abilities, and hands-on experience with Generative AI technologies will be instrumental in your success in this role. To thrive in this position, you should possess a Master's or Ph.D. in Computer Science, AI/ML, or related fields, along with at least 12 years of experience and 3+ years in a Lead/Architect role. Your expertise in the latest Generative AI technologies, such as GAN, diffusion, and transformer models, as well as your experience with large-scale GenAI model pipelines and ML feature shipping, will set you up for success. Additionally, your collaboration skills and experience in tech leading time-sensitive and business-critical GenAI projects will be valuable assets in this role. Preferred qualifications include experience in training or optimizing models using CUDA, Triton, TRT, and converting models from frameworks like PyTorch and TensorFlow to ensure compatibility and optimized performance across different platforms. A good publication record in Computer Science, AI/ML, or related fields will further strengthen your candidacy for this position. At Adobe, you will have the opportunity to immerse yourself in a supportive work environment that fosters creativity, curiosity, and continuous learning. If you are seeking to make a significant impact and grow your career in a dynamic and innovative setting, Adobe is the place for you. Join us in shaping the future of digital experiences and explore the meaningful benefits we offer to our employees. Please note that Adobe is committed to accessibility, and if you require accommodation during the application process, you can reach out to accommodations@adobe.com or call (408) 536-3015.,

Job Title: Product Engineer Location: Bengaluru Work Type: Full-time | Hybrid Payroll Company- Renesas Brief Description This position is responsible for supporting New Product Introduction (NPI) and other engineering activities of our state-of-the-art GaN semiconductor power electronic devices. This experienced a semiconductor product engineer will work in a cross functional role that involves the ownership of newproducts from concept to qualification as well as supporting other engineering activity including new technology development and sustaining engineering. The role requires coordinating activities across multiple departments (R&D, Design, Epitaxy, Fabrication, Assembly, Test and Reliability, etc.). Description • Lead the NPI process and coordinate the power device products definition, design, fabrication, testing and qualification, taking them from design to production release. • Work closely with technical project leaders, marketing, sales, and manufacturing teams to develop and execute NPI plans. • Negotiate schedules to align with resources and customer requirements. • Track and communicates status, key results, risks, and problems to all stakeholders to ensure alignment of priorities. Schedule and run NPI design review and gate activities. • Monitor and analyze parametric test and qualification results to write engineering reports. • Drive root cause investigations of performance and qualification issues. • Own and support other engineering projects Qualifications • Five years in semiconductor manufacturing, high-voltage power electronics is a plus. • BS in an engineering or science discipline and/or MS in engineering or science. • Experience with APQP design review processes, FMEA, NPI and SPC. • Understanding of semiconductor process and product development, wafer level processing, assembly and test methods. • Exceptional time management skills. • Ability to take initiative and work effectively in teams. • Excellent verbal and written communication skills. • Proficiency with MS Office. • Experience with discrete device testing and semiconductor packaging will be a plus. • Experience with engineering databases (mySQL etc) and statistical analysis using software such as JMP.

As a Firefly models & Services architect in the Adobe Firefly Gen AI Models and services group, you will play a crucial role in supporting the creation, improvement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will be essential in designing and optimizing large-scale foundation model pipelines in Generative AI. You will collaborate with outstanding Applied researchers and engineers to bring innovative ideas to production, providing technical leadership and mentorship for junior team members. Your responsibilities will include designing and developing the GenAI backend services for Firefly, creating efficient model pipelines that power the generative AI features on various Adobe applications like PPro, Photoshop, Illustrator, Express, and Stock. You will lead the exploration and research of new ML and MLOps technologies to enhance Adobe's GenAI engineering effectiveness continuously. Your strong hands-on experience with large-scale GenAI model pipelines and collaboration skills will be key in driving alignment and achieving project goals within a Matrix organization. To succeed in this role, you should have a Master's or Ph.D. in Computer Science, AI/ML, or related fields, or a B.Tech with significant experience in AI/ML. With 12+ years of experience and at least 3 years as a Lead/Architect, you should possess excellent communication and technical leadership skills. Experience in the latest Generative AI technologies, such as GAN, diffusion, and transformer models, along with a track record of tech leading contributors on time-sensitive GenAI projects, will be advantageous. Preferred experience includes training or optimizing models using frameworks like CUDA, Triton, and TRT, as well as converting models from PyTorch and TensorFlow to other formats for optimized performance. A good publication record in Computer Science, AI/ML, or related fields is also beneficial. At Adobe, creativity, curiosity, and continuous learning are encouraged, offering you a unique career growth journey. Update your Resume/CV and Workday profile to showcase your Adobe experiences and volunteer work. Visit the Internal Mobility page on Inside Adobe to explore opportunities, and prepare for interviews by checking out helpful tips. Adobe provides an exceptional work environment, recognized globally, where ongoing feedback is valued through the Check-In approach. If you are driven to make an impact, Adobe is the place for you. Discover more about career experiences on the Adobe Life blog and explore the meaningful benefits offered. If you require accommodation to navigate the website or complete the application process due to a disability or special need, reach out to accommodations@adobe.com or call (408) 536-3015.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

National Payment Corporation of India (NPCI) is hiring Data Scientist (with Deep Learning Experience) Job Title: Data Scientist (Deep Learning Strong experience) Experience: 2 Years to 8 Years MUST HAVE SKILLS REQUIRED: (STRONG) Programming & DH : Python, Data Structures, Algorithms (STRONG) Data Handling : Python, EDA, Statistics, Probability Distributions (STRONG) Learning & Deep Learning : TensorFlow, PyTorch, GANs, Transformers (STRONG) Cloud & GPU: GCP, GPU-based machines, Model Optimization (STRONG) Model Lifecycle : Custom Loss Functions, Evaluation Metrics, Scalability If you find yourself Perfectly fit based on above skillset criteria. Please share your Updated resume at vinayak.ojha_ori@npci.org.in Overview: NPCI Data Analytics team is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in modelling complex problems, uncovering insights, and identifying new opportunities through the use of statistical, algorithmic, mining, and visualization techniques. You will be focused on utilizing NPCI product data and analytics to solve business problems by applying machine learning and deep learning techniques, conducting statistical analysis, and building high-quality predictive systems that are integrated with our services. Key Responsibilities: Develop and implement deep learning models for various applications. Work with large datasets and perform exploratory data analysis. Develop custom loss functions and evaluation metrics. Collaborate with cross-functional teams to ensure successful deployment of models. Optimize models for performance, scalability, and efficiency. Conduct research and stay up to date with the latest developments in the field of deep learning. Participate in code reviews and provide feedback to team members. Qualifications: Bachelor's or Master's degree in Computer Science, Mathematics, or related field with 3+ years of experience. Strong proficiency in Python programming language. Good understanding of data structures and algorithms. Strong understanding of statistics and probability distributions Hands-on Experience with GANs and Transformers Experience with both Tensorflow and Pytorch frameworks. Familiarity with Google Cloud Platform (GCP) and working on GPU based machines. Strong problem-solving skills. Excellent written and verbal communication skills. Ability to work independently as well as in a team environment. Strong Communication skills and ability to simplify complex information and results into simple concepts and actionable insights for a variety of audiences.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Hands-on exp with GaN & SiC in power electronics applications. Develop Low Voltage(LV) & High Voltage(HV) energy storage systems with focus on safety,efficiency& performance.Lead R&D projects development of hybrid inverters&energy conversion systems. Required Candidate profile Hands-on experience with GaN and SiC in power electronics applications. Proven knowledge in power electronics system design, harmonic analysis, and power conversion principles.

Skills Required Minimum 1-4 years of experience in content development. Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. Hands-on experience building, training, and deploying Deep Learning Models. Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. Knowledge of pre-trained models and transfer learning techniques. Responsibilities Lead a team of Associate technical content developers to ensure timely and high-quality content creation. Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. Incorporate hands-on projects and real-world datasets to provide practical learning experiences. Understanding of how to develop content to meet various learner needs and styles. Collaborate with Subject Matter Experts (SMEs) to ensure technical accuracy and relevance of the content. Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. Review and revise content regularly based on learner feedback and emerging educational strategies. Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. Monitor and report on the progress of content development to ensure alignment with organisational goals.

Location: Gurugram (Work From Office) Job Type: Full-Time Job Description: As a Senior Machine Learning Engineer , you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation , including AI-driven image/video generation, lipsyncing, and multimodal AI systems . You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities: Research & Develop : Design and implement state-of-the-art generative models , including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis . End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Speech & Video Synchronization : Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques . Scaling & Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) . Collaboration & Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. Experimentation & Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency , and refine model architectures. Code Quality & Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development . Qualifications: Bachelor's or Masters degree in Computer Science, Machine Learning, or a related field. 3+ years of experience working with deep generative models , including Diffusion Models, 3D VAEs, GANs and autoregressive models . Strong proficiency in Python and deep learning frameworks such as PyTorch. Expertise in multi-modal AI, text-to-image, and image-to-video generation , audio to lipsync Strong understanding of machine learning principles and statistical methods. Good to have experience in real-time inference optimization, cloud deployment, and distributed training . Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training . Preferred Qualifications: Experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V). Background in text-to-video generation, lipsync generation and real-time synthetic media applications . Experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation) . Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis .

Skills: SiC and GaN technologies, LTspice, PSpice, MATLAB/Simulink, PCB design, Electromagnetic Compatibility (EMC), Switching power supply design, ANALOG and DIGITAL circuit design, Job Summary We are seeking a Power Electronics Engineer to design and develop high-frequency, high-voltage power supplies and high-capacity power sources (a few kW to hundreds of kW) for thermal and non-thermal plasma applications The engineer will work on efficient, intelligent, and high-performance power conversion systems, ensuring stability and reliability. Key Responsibilities Design and develop **high-frequency switching power supplies** for plasma systems. Develop **high-voltage power converters, inverters, and rectifiers** (IGBT, MOSFET, and SiC-based). Work on **resonant power converters, soft-switching techniques, and pulse power sources**. Optimize **power factor correction (PFC), efficiency, and thermal management**. Design **high-current, high-voltage DC and RF power supplies (10kW 500kW, up to 10kV+).** Implement **intelligent control algorithms** (digital control, microcontrollers, DSP, FPGA). Develop **feedback and protection circuits** to ensure safe plasma operation. Collaborate with **plasma scientists, thermal engineers, and system integrators**. Conduct **EMI/EMC analysis and compliance testing** for industrial plasma power sources. Qualifications & Experience **B.E./B.Tech/M.E./M.Tech in Power Electronics, Electrical Engineering, or related field**. **3+ years of experience** in designing **high-frequency high-voltage power systems**. Proficiency in **power electronics circuit design, PCB layout, and simulation tools** (LTSpice, PLECS, MATLAB, ANSYS, etc.). Experience with **IGBT, MOSFET, SiC, and GaN-based power electronics**. Hands-on experience with **high-voltage insulation techniques and safety measures**. Strong knowledge of **resonant power supplies, pulse modulation, and inverter topologies**. Familiarity with **thermal management strategies (liquid cooling, heat sinks, etc.)**. Experience in **PLC, DSP, FPGA, and microcontroller-based power system control**. Preferred Skills Experience in **RF and microwave power systems for plasma**. Knowledge of **grid integration of high-power sources**. Hands-on experience in **industrial-scale plasma processing applications**.