15 Gan Jobs

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.,

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**.

Senior Data Scientist - NAV02EG Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? Its our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If youre naturally curious, open-minded, and a self-motivated learner - one whos ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of PositionAI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17.

Senior Data Scientist - NAV02ED Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17. Understanding of data structures, data modelling and software architecture 18.