15 Generative Models Jobs

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you will see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the resources you need and small enough so you can make a real difference and earn recognition for your work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support where, when, and how you do your best work. Dolby's research division is seeking a researcher to join the effort to develop the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's world-class audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies to drive new interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The researcher will be responsible for conducting fundamental new research, transferring technology to product groups, and drafting patent applications. Dolby's research division is currently looking for a talented, self-motivated researcher to push the boundaries of state-of-the-art multimedia technologies. The ideal candidate will have a strong background in Human-Computer Interaction (HCI) and deep learning, both conceptually and practically. Keeping up to date with the literature, implementing, and innovating are core aspects of this role. Knowledge or experience in human-computer interaction techniques, deep learning applications, generative models, self-supervised learning, audio, image, or text applications, latent space exploration, navigation, and control techniques would be beneficial. The role will involve prototyping inspiring experiences that explore a complement of modalities, extending immersion and interaction. The ideal candidate will have experience in developing real-time applications delivering multi-modal experiences and/or human-computer interfaces with generative AI involvement. Main Responsibilities: - Prototype and demonstrate multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to create new solutions and enhance existing applications. - Push the state-of-the-art and develop intellectual property. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record in top domain-specific or general machine learning conferences. - Good knowledge of current machine learning literature. - Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). - Ability to envision new technologies and turn them into innovative products. - Creativity and good communication skills.,

Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what's possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.,

As an AI/ML Engineer at our organization, you will be responsible for focusing on building intelligent systems for automated drawing generation using TensorFlow and related AI tools. Your main duties will include designing, developing, and deploying ML models for automated drawing and sketch generation. You will be tasked with implementing and optimizing deep learning models using TensorFlow and Keras. Furthermore, you will collaborate closely with product and design teams to understand drawing requirements and user needs. In this role, you will need to apply various techniques such as CNNs, GANs, transformers, and image-to-image translation to achieve the desired outcomes. Additionally, fine-tuning pretrained models or building custom architectures for generative tasks will be part of your responsibilities. Integration of ML models into production-grade applications, such as web or mobile interfaces, will also fall under your purview. To be successful in this position, you must hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A minimum of 6-9 years of experience in AI/ML engineering or a related field is required. Proficiency in TensorFlow and Python is essential, along with experience in generative models like GANs, VAEs, and diffusion models. Familiarity with computer vision techniques, especially in drawing/sketch/image generation, is crucial for this role. Hands-on experience with auto drawing tools, datasets, or related automation tasks is highly beneficial. Moreover, you should have an understanding of data preprocessing, augmentation, and labeling for visual tasks. The ability to write clean, scalable, and well-documented code is important. Preferred qualifications include experience with deep learning for design, CAD, or architectural visualization, knowledge of Reinforcement Learning or self-supervised learning methods, and familiarity with PyTorch, OpenCV, and deployment frameworks like TensorFlow Lite or TensorFlow.js. Contributions to open-source projects in ML or generative AI would be a plus. At our organization, we prioritize a culture of caring and provide ample opportunities for learning and development. You will have the chance to work on interesting and meaningful projects that make an impact. We also value balance and flexibility, offering various work arrangements to help you achieve a healthy work-life balance. As part of a high-trust organization, integrity and trust are integral to our values. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with clients to transform businesses and redefine industries through intelligent products, platforms, and services. If you are looking to be part of a dynamic team driving digital innovation, this role might be the perfect fit for you.,

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and receive recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support individuals in doing their best work, wherever, whenever, and however they prefer. Dolby's research division is currently seeking a researcher to contribute to the development of the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's renowned audio and vision experts to create new multimedia analysis, processing, and rendering technologies that will drive innovative interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The role involves conducting fundamental research, transferring technology to product groups, and preparing patent applications. The ideal candidate for this role should possess a strong background in Human-Computer Interaction (HCI) and deep learning, with both conceptual understanding and practical experience. Keeping up to date with the latest literature, implementing, and innovating are essential aspects of this position. Knowledge or experience in areas such as human-computer interaction techniques, generative models, self-supervised learning, audio, image, or text applications, and latent space exploration are beneficial. The candidate will prototype inspiring experiences combining different modalities to enhance immersion and interaction, focusing on empirical refinement of the user experience. Experience in developing real-time applications delivering multi-modal experiences and human-computer interfaces with generative AI involvement is preferred. Responsibilities: - Prototype and showcase multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to develop new solutions and improve existing applications. - Drive the state-of-the-art and contribute to intellectual property development. - Transfer technology to product groups and draft patent applications. - Provide insights to internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or related field, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record, with publications in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Ability to conceptualize new technologies and transform them into innovative products. - Creativity and strong communication skills.,

You are a highly experienced AI engineer with 5+ years of experience, possessing a strong background in machine learning, proficient programming skills, and a deep understanding of generative models. Your primary role involves applying your expertise to translate research findings into practical solutions that effectively tackle real-world challenges. It is crucial for you to ensure the reliability and ethical usage of generative AI in the applications you develop. In terms of technical requirements, you must exhibit a strong proficiency in Python for data processing and automation. You should have hands-on experience working with generative AI models and integrating them into data workflows. Additionally, familiarity with prompt engineering and LLM models (Opensource and Closesource) is essential. Experience with application development frameworks like LangChain, LangGraph, and working with REST frameworks such as Fast API, Angular, Flask, and Django is highly beneficial. Knowledge of cloud platforms such as AWS, GCP, Azure, and related services is a plus. Moreover, familiarity with containerization and orchestration tools like Docker and Kubernetes would be advantageous. As a Data Analysis & Simulation Professional, your responsibilities include the following key areas: Data Pipeline Development: - Designing and implementing scalable data pipelines using Python to ingest, process, and transform log data from diverse sources. Generative AI Integration: - Collaborating with data scientists to integrate generative AI models into log analysis workflows. - Developing APIs and services to deploy AI models for real-time log analysis and insights generation. Data Monitoring and Maintenance: - Setting up monitoring and alerting systems to ensure the reliability and performance of data pipelines. - Troubleshooting and resolving issues related to data ingestion, processing, and storage. Collaboration and Documentation: - Working closely with cross-functional teams to comprehend requirements and deliver solutions that align with business needs. - Documenting data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: - Conducting thorough testing and validation of generative models. Research and Innovation: - Staying updated with the latest advancements in generative AI and exploring innovative techniques to enhance model capabilities. - Experimenting with different architectures and approaches to drive innovation. Furthermore, having experience with Snowflake utilization would be considered an asset: - Designing and optimizing data storage and retrieval strategies using Snowflake. - Implementing data modeling, partitioning, and indexing strategies to improve query performance.,

At Murf AI, we're simplifying multimedia creation by harnessing the power of artificial intelligence. Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment. Some interesting facts about Murf AI: Customers in 100+ countries 1Mn+ registered users 6X growth in revenue in the last 12 months 120+ voices in 20+ languages offered by Murf Studio Consistently rated a Leader and Momentum Leader on G2 in the text-to-speech category in 2023 and 2022 Working on bleeding-edge research problems in synthetic speech, synthetic video, and dubbing. We are seeking a highly skilled and innovative Research Scientist specializing in Generative Video AI to join our dynamic team. As a Research Scientist, you will play a pivotal role in developing cutting-edge algorithms and models for creating synthetic videos, avatars, and lip syncing applications. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology and pushing the boundaries of generative video AI. This is an exciting opportunity to work at the forefront of AI research and contribute to groundbreaking advancements in the field. An ideal candidate will hold a Ph.D. in AI or Computer Science with a specialization in Computer Vision, Image Processing, or related fields with 3+ years of additional relevant work experience. Roles & Responsibilities: Conduct research in the field of generative video AI, focusing on synthetic videos, avatars, and lip-syncing use-cases Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3D generation) Collaborate with cross-functional teams to understand requirements, identify research problems, and propose innovative solutions Collect and curate large-scale datasets for training and evaluating video generation models Develop and optimize computational pipelines for video generation, ensuring efficiency and scalability Stay up-to-date with the latest advancements in generative video AI, attending conferences, publishing research papers, and actively contributing to the scientific community Provide technical guidance and mentorship to junior researchers and engineers Collaborate with product teams to integrate research findings into practical applications and drive commercialization efforts Contribute to patent filing and intellectual property protection activities, as applicable Skills & Qualifications: Strong background in generative models, deep learning such as GANs, NeRFs, VAEs, Diffusion Models, etc. Solid understanding of image processing and computer vision techniques in general Ability to conduct original research and first principles problem-solving Ability to collaborate effectively in a team environment and lead research initiatives Proficiency in programming using Python and either TensorFlow or PyTorch Proven publications in computer vision or artificial intelligence peer-reviewed top-tier conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.) or leading Journals (LNCS, PAMI, TOG, etc.) published by IEEE, ACM, Springer, Elsevier, etc. Experience with large-scale data collection and curation is a plus Benefits/Perks: Collaborative and stimulating work environment Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative video AI Insurance/healthcare coverage as per company policy Leaves available as per company policy Why Murf.ai Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology. Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses. With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space. Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact. If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins.,

You are an experienced and dynamic AI & Building Energy Modeling Product Manager responsible for leading the development and management of cutting-edge AI-driven solutions in the field of building energy modeling and sustainability. Your role requires a unique blend of expertise in AI/ML technologies, building energy modeling, and product management. You should possess strong technical skills, a passion for sustainability, and the ability to drive product strategy and development in a fast-paced environment. Your responsibilities include staying up-to-date on AI and Building Energy modeling and industry trends, applying this knowledge to inform product strategy, acting as a domain expert from Building Energy and HVAC domain, driving clear product definition and roadmap to achieve business goals, collaborating closely with AI/ML researchers, engineers, data analysts, annotators, and other product managers, deeply understanding customer needs and priorities, defining and tracking metrics to measure product quality and business impact, and ensuring AI products meet legal and ethical standards by working with legal and compliance teams. Qualifications required for this role include a bachelor's or master's degree in architecture, engineering, or a related field, along with a minimum of 2+ years of relevant experience in building energy modeling and simulation. Proven experience within a similar role dealing with Green Building, Sustainability strategies, Energy strategies, Energy modeling, and assessment is necessary. Strong technical skills and knowledge of building energy codes and standards, hands-on experience on IESVE/HAP/Design Builder, knowledge of using other software such as Energy Plus or eQuest, BEMP, CEM, or equivalent credentials, basic understanding of AI/ML concepts, capability of coding using Python, capability to perform market and competitive analysis in AI, familiarity with project management methodologies (Agile, Scrum), and the ability to work independently and as part of a team are also required. Furthermore, you will have the opportunity to work with a dynamic and innovative IT organization, experience a collaborative and supportive work environment, and benefit from professional growth and development opportunities. As a candidate, you should have a good understanding of different marketing techniques, familiarity with marketing applications (e.g., CRM tools, online analytics, and Google AdWords), a passion for the marketing industry and its best practices, excellent verbal and written communication skills, and skills in written & oral communication, objection handling, pitching value proposition, and preferably some knowledge of the valve industry and HVAC. Qualifications such as a bachelor's degree in Mechanical or a related discipline, BBA/MBA in Marketing, being a self-motivated and extrovert individual with a strong work ethic and a desire for continuous learning are also recommended.,

As a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial 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 are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as 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 would be advantageous.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

Seeking a highly skilled and motivated Senior Generative AI Developer with approximately 2 years of hands-on experience in developing and deploying AI models, particularly in the generative space (e.g., NLP, AL/ML, AWS, Python, RASA, MCP, Flutter). Required Candidate profile 2+ yrs of exp in AI/ML dev, with focus on gen models. Prog skills in Python & ML libraries/frameworks Langchain, spacy, NLTK, Hugging Face Exp in AI bot/agent platforms like Make, POE, RetellAI