12 Gan Jobs

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**.

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

Job Purpose Plan, organize and ensure engineering & reliability of DC-DC converter with focus on scaling up the system keeping in view of approved budgets and cost optimization measures. Job Accountabilities Accountable for engineering & reliability of DC-DC converter and detailed design review with DEC, ensuring compliance with industry standards (IEC, IEEE, CIGRE, etc.). Accountable for selection of appropriate DC-DC converter keeping in view impact on power system. Accountable for commissioning and testing of DC-DC converter in co-ordination with DEC, OEM & user teams. Accountable to develop and review system design specifications, technical drawings, and component selection for converter. Accountable to collaborate with OEMs, utilities, and EPC contractors to oversee system integration and performance. Accountable for technical guidance on protection and system reliability improvements. Accountable for project schedules, deliverables, and ensure cost-effective execution Accountable for Periodic review of Performance monitoring & benchmarking as per international standards. Accountable for ensuring continuous improvement in design and modification by means of active interaction with stakeholders, optimizing engineering practices Accountable for overseeing Statutory and Regulatory compliance at engineering stage. Accountable for Preparation and review of engineering specification document for DC-DC converter Systems Accountable to liaise with OEMs / packagers / consultants to be abreast of latest trends in technology, design etc. Support for procurement / services scope finalization, vendor selection, validation for DC-DC converter Skills Required (Knowledge and Skills) Expertise in high-frequency power conversion, magnetics design, and advanced control strategies. Profound knowledge in detailed engineering of DC-DC converter. Design and optimize isolated and non-isolated DC-DC converters for grid-tied systems. Select and integrate high-efficiency topologies (Buck, Boost, Flyback, Forward, LLC, Phase-Shifted Full-Bridge, Dual Active Bridge). Conduct MATLAB/Simulink, PSIM,HIL or PLECS-based modelling and simulation of DC-DC converters. Knowledge of power electronics principles, practices and codes and standards associated with various systems and equipment Knowledge of system sizing calculations, integration techniques. Participate & conduct design reviews with all cross functional teams. Knowledge of industrial testing procedures. Analytical thinking, Managing Ambiguity Decision making, Strategic direction & Managing Change Key Attributes (Experience and Qualifications) Candidate should have BE / B Tech / M Tech in Electrical Engineering with specialization in Power Electronics with 15 years of experience in detailed engineering of DC-DC converters. Strong analytical skills, Networking skills and communication skills.

Implement and optimize LLM models like GPT, Gemini, Llama, Falcon, RAG-based solutions. Fine-tune and optimize LLMs. Apply techniques such as GANs, VAEs, and Transformers. Implement solutions using Azure, GCP, and AWS services and frameworks. Knowledge and implementation experience of different LLMs and Generative AI use cases. Experience with LLM models and fine-tuning. Good understanding of GANs, VAEs, and Transformers. Experience with cloud platforms like Azure, GCP, and AWS. Bachelors or masters or PhD with 6-10 years of experience in AI. Strong programming skills in Python. Experience with source code management systems. Knowledge of search engines and information retrieval. Excellent problem-solving and analytical skills. Strong communication and teamwork skills.

Job Responsibilities 1. Understand and Participate in Establishing Requirements Gain a deep understanding of system-level requirements impacting firmware deliverables. Actively participate in the creation of firmware requirements based on system specifications. Collaborate with the broader team to define and improve system-level requirements for hearing aid firmware. Align firmware design with requirements through continuous exploration of the firmware system, review of documentation, and consultations with senior team members. 2. Design and Implement High-Quality Firmware Create designs that meet firmware requirements. At this level, the engineer is expected to solve moderate technical challenges. Senior engineers review solutions for technical sound. Document and review designs, ensuring they provide value and enhance understanding of the firmware. Apply programming knowledge (e.g., C, assembly) to implement firmware on resource-constrained hardware. Follow best practices in firmware development processes such as code reviews, design documentation, and adherence to coding conventions. Update the status of assigned tasks using established issue and project tracking software. Use version control systems to manage code effectively. Investigate, root cause, and resolve firmware issues promptly, providing feedback on potential solutions and their impact to the firmware management team. 3. Verify Firmware Functionality Support the Firmware Verification Team in developing test plans and executing tests to ensure firmware meets high-quality standards at the system level. Review test plans and provide constructive feedback. Conduct unit tests to verify the functionality of developed firmware before passing it to the verification team. Collaborate with Firmware Verification Engineers and others in R&D to identify and resolve issues. 4. Participate Effectively in Project Activities Understand and follow established organizational processes such as Advanced Development and Product Development processes. Work with the Firmware Project Sponsor/Manager to create project plans and provide work estimates for project milestones. Take proactive ownership of project assignments and follow the project management process (Scrum) for assigned projects. Communicate changes to work effort estimates and their potential impact on the project schedule. Provide updates on project activities during sprint reviews, stand-up meetings, and one-on-one meetings. Job Requirements Education and Experience: Education: Bachelors or Masters degree in Electronics and Communication, Computer Science, Embedded Technology, or a related field. Experience: 4-8 years of relevant experience with a BS degree 0-4 years of relevant experience with an MS degree Knowledge and Technical Requirements In-depth knowledge in one or more of the following domains is required: Digital Signal Processing (DSP) Real-time Signal Processing: Knowledge of hardware or embedded systems for real-time signal processing, including the use of microcontrollers, DSP chips, and FPGA. Filtering: Designing and implementing digital filters (FIR, IIR) to remove noise, smooth, or enhance signals. Knowledge of filter design tools and techniques (e.g., Butterworth, Chebyshev filters). Convolution & Correlation: Understanding how to apply these operations to signals to filter or detect patterns. Fourier Analysis: Applying Fourier transforms (FFT, DFT) to analyze signals in the frequency domain, including spectral analysis and signal reconstruction. Time-Frequency Analysis: Familiarity with techniques like Short-Time Fourier Transform (STFT) or wavelet transforms for analyzing non-stationary signals. Adaptive Filtering: Understanding algorithms that adapt their characteristics based on the signal's input, such as LMS (Least Mean Squares) and RLS (Recursive Least Squares). Signal Compression & Coding: Knowledge of data compression techniques (e.g., JPEG, MP3) for efficient transmission and storage of signals. Embedded DSP Experience in implementing DSP algorithms on embedded systems, such as using ARM, TI processors or specialized DSP hardware. Real-Time Operating Systems (RTOS): Experience with real-time operating systems, such as FreeRTOS, VxWorks, or other embedded OS, for scheduling and task management. Hardware/Software Interface: Experience interfacing with hardware components (ADC, DAC, sensors, actuators, etc.). MATLAB/Simulink: Ability to model and simulate DSP algorithms using tools like MATLAB and Simulink. Embedded Development Tools: Familiarity with IDEs (e.g., Eclipse, Keil, IAR Embedded Workbench) and debugging tools (JTAG, oscilloscopes, logic analyzers). Machine Learning (ML) & AI Integration DSP and Machine Learning: Integrating machine learning with DSP to enhance signal processing tasks such as classification, pattern recognition, and feature extraction. Deep Learning for DSP: Familiarity with neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), and other deep learning architectures. Proficiency in using TensorFlow, PyTorch, and Keras Wireless and wired communication protocols. Firmware testing methodologies and tools Proficiency in programming languages such as C or assembly. Familiarity with scripting languages like MATLAB or Python. Understanding of analog and digital circuitry. Competencies, Skills, and Abilities Strong verbal and written communication skills. Driven, methodical, and detail oriented. Ability to work both independently and as part of a team. Proficiency in problem-solving.

Job Location - Pune Must Have Over 3 years of experience in machine learning and generative AI, with a solid track record of successful deployments in a services environment. Strong programming skills in Python and familiarity with other languages, with the ability to adapt AI solutions to diverse technological landscapes. Proficiency in AI frameworks such as TensorFlow, PyTorch, and Keras, and deep knowledge of generative models like GANs and VAEs. Demonstrated experience deploying solutions on cloud platforms like Azure and AWS, and familiarity with integrating AI technologies within CRM and ERP systems. Capability to develop or rapidly learn to develop the complete backend stack for AI solutions, tailored to client needs. Design, develop, and optimize algorithms for machine learning and generative models using advanced deep learning techniques. Manage the full lifecycle of AI model development, from conceptual design through testing, deployment, and maintenance, ensuring alignment with client needs. Implement robust AI solutions on enterprise cloud platforms such as Azure and AWS, and ensure their integration with CRM and ERP SaaS platforms. Facilitate rapid prototyping and lead research initiatives to identify and harness new AI capabilities and applications. Construct or quickly adapt the entire backend stack for AI solutions, focusing on scalability and integration with client systems. Mentor and lead a team of AI interns, promoting a culture of technical excellence and innovation within the team. Communicate effectively with clients and internal teams, translating complex AI concepts into understandable and actionable insights Advanced qualifications in Computer Science, AI, Machine Learning, or related fields. Proven leadership skills, with the ability to mentor teams and manage client-focused projects. Good to Have An AI-first mindset, adaptable to rapidly changing technologies and client requirements. Highly proactive and driven, with a relentless pursuit of innovation and excellence in service delivery. Exceptional communication and collaboration skills, adept at managing relationships with clients and across functional teams. Strong commitment to continuous learning and growth in the fast-evolving field of AI.

Job Description Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture. Must-Have BE/BTech/MS/MTech graduates with Computer science Engineering with 5+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have Knowledge in Python. Experience in managing team size of 5 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

Job Description: AI Developer/Engineer Position Overview We are seeking an experienced and innovative Generative AI Engineer to join our team. In this role, you will design, build, and optimize cutting-edge generative AI models and systems. You will work on applications such as NLP, image synthesis, and other creative AI solutions that enhance user experiences and solve complex problems. Key Responsibilities Design, train, and fine-tune generative AI models, such as GPT, GANs, VAEs, and diffusion models, for various use cases (e.g., text, images, audio, or video generation). Collect, preprocess, and manage large datasets to ensure high-quality inputs for model training and evaluation. Optimize model performance for scalability, efficiency, and accuracy while addressing issues like bias, fairness, and robustness. Collaborate with software engineers to integrate AI models into production systems, ensuring reliability and scalability. Stay up to date with the latest research in generative AI and apply innovative techniques to solve business problems. Work closely with cross-functional teams, including product managers, designers, and data scientists, to understand user needs and translate them into technical requirements. Implement monitoring and evaluation frameworks to track the performance and impact of generative AI solutions in real-world applications. Qualifications Education : Bachelors or master’s degree in computer science, Machine Learning, AI. Experience : Proven experience in building and deploying generative AI models. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of NLP, computer vision, or other generative domains. Technical Skills : Expertise in Python and familiarity with ML libraries. Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions. Experience with MLOps tools and pipelines for managing model lifecycles. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. Ability to adapt to fast-paced and dynamic environments.

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.