26 Diffusion Models Jobs

About the Position We&aposre seeking a talented Generative AI Developer to join our Engineering team. In this role, you&aposll design, develop, and implement generative AI solutions to solve complex business problems. You&aposll collaborate with cross-functional teams to transform cutting-edge AI technologies into practical, scalable applications. Candidate Requirements & Qualifications Design and develop generative AI applications using large language models (LLMs), diffusion models, and other generative AI technologies Collaborate with data scientists, engineers, and business stakeholders to identify use cases and implement AI solutions Fine-tune and optimize models for specific client requirements and use cases Implement robust evaluation frameworks to assess model performance and mitigate potential risks Create prototypes and proof-of-concepts to demonstrate capabilities and gather feedback Develop and maintain technical documentation for AI systems Stay current with the latest advancements in generative AI technologies and methodologies Bachelor&aposs degree in Computer Science, AI, Machine Learning, or a related technical field 8+ years of relevant experience Strong programming skills in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience implementing LLM-based applications and understanding of prompt engineering Knowledge of generative AI concepts, including text generation, image generation, and multimodal systems Experience with API development and integration Strong problem-solving skills and ability to debug complex systems Desired but not required (not needed for every position) Master&aposs or PhD in AI, ML, or related field Experience with model fine-tuning, RLHF, and alignment techniques Knowledge of RAG (Retrieval-Augmented Generation) architectures Experience with vector databases and embedding models Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services Show more Show less

You are urgently needed for the position of Generative AI Developer at Prudent Corporate Advisory Services Ltd in Ahmedabad- Sindhu Bhavan. With at least 2 years of experience, you will be responsible for designing, developing, and deploying applications utilizing large language models (LLMs), image generators, and other generative AI technologies. Your main tasks will involve building and integrating Generative AI models such as GPT, Claude, and Gemini into web and mobile applications. You will also be required to fine-tune, prompt-engineer, and evaluate LLMs for specific business use cases, develop custom AI-powered features like chatbots and content generation tools, and utilize APIs from OpenAI, Google, Anthropic, Hugging Face, among others, for real-time AI services. Collaboration with cross-functional teams to identify opportunities for AI integration, monitoring and evaluating AI model outputs, developing backend systems and microservices to support AI features, maintaining documentation, and ensuring compliance with data privacy and usage policies are also part of your responsibilities. To excel in this role, you must possess strong programming skills in Python, JavaScript/TypeScript, or equivalent, experience with LLMs, transformers, and diffusion models, familiarity with OpenAI API, Hugging Face Transformers, LangChain, or LlamaIndex, proficiency in using REST APIs, experience with NLP, prompt engineering, vector databases, understanding of MLOps, Docker, Git, and CI/CD workflows. If you meet these requirements and are excited about this opportunity, please share your updated resume with us at career@prudentcorporate.com.,

Company Description Pranathi Software Services is a leading provider in AI and ML services, web development, chatbot development, natural language processing (NLP), and deep learning. Specializing in innovative solutions, the company is dedicated to delivering customized software solutions. By harnessing the capabilities of artificial intelligence, Pranathi Software Services aims to transform businesses and elevate user experiences. Were Hiring: Senior Data Scientist Generative AI & Agentic Systems Location: Hyderabad | ???? Full-Time | ???? Experience: 4+ Years Are you passionate about building cutting-edge Generative AI and Agentic Systems using LLMs, Transformers, and Model-Context Protocols We&aposre looking for an experienced Data Scientist to lead the development of AI-driven solutions across text, vision, and multimodal use cases ???? Key Skills : Transformers, LLMs (GPT, BERT, LLaMA, Claude) Generative AI & Diffusion Models Agentic AI Systems, LangChain, OpenAI, Hugging Face Python, PyTorch/TensorFlow, Docker NLP, CV, Reinforcement Learning Show more Show less

Location : Full onsite in Bangalore, India Role Overview: We are actively seeking full-time interns from top-tier colleges to work with us for 1 year on cutting-edge Generative AI and Machine Learning problems. This internship offers a unique opportunity to gain hands-on experience in building and deploying AI-driven solutions across industries like financial services, telecommunications, and retail. Key Responsibilities Work on state-of-the-art Generative AI and ML models, contributing to real-world applications. Develop and deploy machine learning models for use cases like customer segmentation, recommendation systems, anomaly detection, and predictive analytics. Utilize Python and popular ML frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost. Assist in data preprocessing, cleaning, and exploratory data analysis to extract insights. Implement MLOps best practices, ensuring robust model evaluation, versioning, and deployment. Maintain high-quality code, documentation, and testing standards for scalable AI solutions. Contribute to the development of reusable AI/ML assets for different customer engagements. Requirements We are looking for fresh graduates or students in their final semester (awaiting graduation) with a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related fieldpreferably from a top-tier college such as the IITs. Fresh graduates and candidates with up to 1 year of experience are encouraged to apply. Strong proficiency in Python and experience with data analysis libraries. Good understanding of machine learning algorithms and their practical applications. Familiarity with SQL and basic database concepts. Strong analytical, problem-solving, and communication skills. Preferred Skills Experience or coursework in Generative AI (GANs, Transformers, Diffusion Models, LLMs, etc.). Exposure to cloud platforms like AWS, Databricks, or Google Cloud. Familiarity with Big Data technologies (Kafka, Spark, Flink, etc.). Understanding of MLOps principles, model deployment, and distributed ML techniques. Previous internship or project experience in AI/ML, data science, or analytics. Benefits What We Offer An opportunity to be part of an agile, highly proficient and experienced AI/ML team An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action A fast-paced software development environment that uses the latest open-source tools across the development stack Show more Show less

Internship Overview Are you deeply fascinated by the power of Generative AI to create novel content or the ability of Computer Vision to make sense of the visual world We&aposre looking for enthusiastic and talented AI Interns passionate about these cutting-edge fields to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions in visual intelligence and content generation, and learning from experienced professionals. You&aposll play a crucial role in supporting our advanced AI initiatives from data preparation to model deployment. What You&aposll Do As an AI Intern with a focus on Generative AI and Computer Vision technologies, you&aposll work closely with our Data Science Engineers, contributing to various stages of the AI development lifecycle. Your responsibilities may include: Data Preparation & Annotation: Assist in collecting, cleaning, preprocessing, and annotating large visual and textual datasets tailored for Generative AI and Computer Vision models. Model Experimentation & Evaluation: Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability, with a focus on metrics relevant to generative and visual tasks. Research & Exploration: Research the latest advancements, architectures, and techniques in Generative AI (e.g., Transformers, Stable Diffusion, multimodal models) and Computer Vision (e.g., Vision Transformers). Prototyping & Implementation: Help in building prototypes and integrating Generative AI, Computer Vision, ML & Automation solutions into existing systems or applications. Generative AI Development: Assist in evaluating, fine-tuning Large Language Models (LLMs), Diffusion Models for tasks like image synthesis, text generation, code generation, or data augmentation. Experiment with prompt engineering techniques to optimize outputs from generative models. Explore new patterns, techniques in Agentic workflows, MCP etc Explore and implement techniques for controlling generated content and ensuring model safety/alignment. Computer Vision Solutions: Contribute to the development of Computer Vision models for tasks such as object detection, image segmentation, image classification, facial recognition, or video analysis. Work on data augmentation strategies specifically for visual datasets to improve model robustness. Implement and evaluate advanced image and video processing techniques. Documentation: Maintain clear and concise documentation of experiments, model development processes, and results. Collaboration: Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives. Who Can Apply Recently completed a Bachelor&aposs or Master&aposs degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning Strong foundational understanding of core AI and Machine Learning concepts and algorithms. Demonstrated interest or project experience in Generative AI (e.g., LLMs, GANs, VAEs, Diffusion Models) or Computer Vision (e.g., CNNs, object detection, image segmentation) Proficiency in at least one programming language, preferably Python, and familiarity with relevant libraries related to Generative AI, CV & General Machine Learning / Deep Learning Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs. Strong communication and teamwork skills, with the ability to articulate technical concepts clearly. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation. About Cognologix Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business first approach to help meet our clients strategic goals. We are an Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way. Minimum Experience Internship Top Skill Data Science, Artificial Intelligence, Machine Learning Generative AI Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education Show more Show less

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Groups diverse businesses in electronics, entertainment, and financial fields. For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India (SRI) is offering outstanding career opportunities around frontline technologies such as AI and data analytics. Key responsibility: Together with the research scientists or other team members, contribute to cutting-edge multilingual Text-to-Speech (TTS) research and development. You will also contribute in implementing state-of-the-art speech controllable TTS, with a strong focus on Indian languages at scale. Work Location: Remote within India. Duration of the paid internship: 6 months starting August 2025 last week 9:00 to 18:00 (Monday to Friday) fulltime Education : Ph.D. or Masters in Computer Science with hands-on experience on SOTA TTS development models using advanced generative models. Must Have Skills: Python Deep Learning/Machine Learning frameworks: Pytorch, Tensorflow Knowledge of the state-of-the-arts in controllable Text-to-Speech Models Knowledge of generative models: Diffusion Models, VQ-VAE/GANs, Flow and LLM-based Generative models. Good to have skills: Expertise in PyTorch Proven hands-on experience in building and training state-of-the-art TTS models using deep generative architectures. Our Values: Dreams & Curiosity: Pioneer the future with dreams and curiosity. Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity: Earn the trust of the Sony brand through ethical and responsible conduct. Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies, and procedures and to ensuring that no worker or potential worker will receive less favorable treatment due to any characteristic Show more Show less

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

You will be working as a full-time Senior Generative AI Engineer at RandomTrees, based in Chennai with the option for remote work. Your primary responsibility will involve the development and execution of advanced Generative AI solutions. This role will require you to engage in cutting-edge AI projects and collaborate with diverse teams to foster innovation in handling a variety of datasets. Your key responsibilities will include designing, developing, and implementing cutting-edge machine-learning algorithms and models to enhance our platform's capabilities. This will enable our customers to efficiently create realistic content across multiple modalities, such as text, images, and drawings. Additionally, you will be expected to conduct in-depth research to remain updated with the latest advancements in machine learning and AI, integrating them into our platform as necessary. Your role will also involve documenting research findings, methodologies, and implementations in clear and concise reports and presentations. Collaboration with cross-functional teams to seamlessly integrate machine-learning models into the existing infrastructure for deployment and scalability will also be part of your responsibilities. To be successful in this role, you should have a total experience of 5+ years with at least 3 years of relevant experience in developing and training Generative AI models. A strong understanding of Generative AI models like GANs, Diffusion models, and Transformers is essential. Proficiency in machine-learning principles, algorithms, and techniques, along with hands-on experience in developing and implementing machine-learning models is required. You should also have expertise in training image-based machine-learning models and a proven track record of applying them to real-world problems. Proficiency in programming languages commonly used in machine learning, such as Python, is a must-have skill. If you meet the requirements mentioned above and are excited about the opportunity to work on innovative AI projects, please share your resume at hjonnalagadda@randomtrees.com.,

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.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

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.,

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building, fine-tuning, and deploying ASR models such as Whisper, wav2vec2.0, and Conformer for real-time transcription. - Developing high-quality TTS systems using VITS, Tacotron, FastSpeech for natural-sounding voice generation. - Implementing speaker diarization to segment and identify speakers in multi-party conversations using embeddings and clustering techniques. - Designing wake word detection models with ultra-low latency and high accuracy even in noisy conditions. In addition to the above, you will also be involved in: - Architecting bi-directional real-time audio streaming pipelines utilizing WebSocket, gRPC, Twilio Media Streams, or WebRTC. - Integrating voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. - Building scalable microservices for audio processing, encoding, and streaming across various codecs and containers. - Leveraging deep learning and NLP techniques for speech and language tasks. Furthermore, you will be responsible for: - Developing reusable modules for different voice tasks and system components. - Designing APIs and interfaces for orchestrating voice tasks across multi-stage pipelines. - Writing efficient Python code, optimizing models for real-time inference, and deploying them on cloud platforms. Join us to be part of impactful work, tremendous growth opportunities, and an innovative environment at Tanla, where diversity is championed and inclusivity is valued.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,

You are looking for a visionary and strategic leader to assume the role of GEN AI Practice Head at our organization. In this position, you will be responsible for driving innovation, leading the development of cutting-edge generative AI solutions, and overseeing the end-to-end delivery of AI projects. Your primary objective will be to build and scale the GenAI practice in alignment with business objectives, expanding market presence, and contributing to organizational growth in AI-driven technologies. Your responsibilities will include formulating and executing the vision, strategy, and roadmap for the GenAI practice while establishing thought leadership through the identification of emerging trends and use cases in Generative AI. Additionally, you will define and standardize GenAI frameworks, methodologies, and best practices for project delivery, and build partnerships with AI technology providers, startups, and academic institutions. As the Gen AI Practice Head, you will lead the design and development of scalable GenAI-based solutions, including NLP models, image/video synthesis, and creative AI applications. Your role will also involve overseeing the selection of tools, platforms, and frameworks such as OpenAI, Hugging Face, and Google Vertex AI to ensure that solutions meet client requirements in scalability, performance, and ethical AI considerations. Furthermore, you will be responsible for building, mentoring, and managing a high-performing team of data scientists, machine learning engineers, and AI consultants. By fostering a culture of innovation, collaboration, and continuous learning within the team, you will drive initiatives to upskill and reskill teams on generative AI technologies and industry best practices. Collaboration with business development teams to identify opportunities, pitch GenAI solutions, and onboard new clients will be a key aspect of your role. You will also ensure the successful delivery of GenAI projects with a focus on quality, timelines, and client satisfaction, acting as a trusted advisor to clients by providing thought leadership on generative AI strategies and solutions. Financial and operational excellence will be crucial, as you will own P&L responsibility for the GenAI practice. Defining and tracking KPIs to measure practice success and client ROI, driving operational efficiencies to optimize costs, delivery timelines, and resource utilization are essential components of this role. To excel in this position, you must have strong expertise in Generative AI, NLP, transformers (e.g., GPT, BERT), and diffusion models. Hands-on experience with AI/ML frameworks and tools like TensorFlow, PyTorch, OpenAI, or Hugging Face is required. A proven track record in designing and deploying large-scale AI/ML solutions, experience across industries, and a solid understanding of cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions will be beneficial. Exceptional communication, problem-solving, and decision-making skills are essential for success in this role. Key Skills: OpenAI, GPT models, Hugging Face, PyTorch, LangChain, Diffusion Models,

Role: Generative AI Engineer (Contract) Experience: 2+ years in AI/ML development Notice Period - Immediate joiner / upto 30 days Location: Pune (Prefered Candidates From Pune location) Key Responsibilities: Design and deploy Generative AI models (LLMs, diffusion models) on Google Cloud Platform (GCP) using Vertex AI, BigQuery, Cloud Storage. Develop end-to-end AI solutions including data pipelines, APIs, and microservices. Work on prompt engineering to optimize AI model performance. Analyze datasets to uncover insights and optimize business outcomes. Collaborate with cross-functional teams for seamless AI integration. Must-Have Skills: Strong experience in Generative AI, LLMs, diffusion models. Hands-on with Google Cloud Platform (GCP), especially Vertex AI. Proficiency in Python, TensorFlow/PyTorch, Machine Learning/Deep Learning. Experience in Power BI for data visualization. Excellent problem-solving and collaboration skills. Good to Have: MLOps, Docker/Kubernetes, chatbot development experience.

As a Principal AI Research Scientist at Siemens Energy, you will lead the research efforts in developing next-generation foundation models for power grid & substation applications. You will play a crucial role in defining the research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. Your work will have a significant real-world impact on grid modernization, renewable energy acceleration, and climate change mitigation. Your responsibilities will include conducting original, high-impact research in foundation models tailored for power grid data, spearheading the development of novel deep learning architectures and algorithms, and collaborating closely with AI engineers and domain experts to translate research breakthroughs into scalable solutions for real-world power grid systems. You will also build and mentor a high-performing research team, drive rapid iteration and proof-of-concept development, and effectively communicate research findings to technical and non-technical audiences. To qualify for this role, you should have a Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, with 7+ years of research experience in deep learning, machine learning, or related areas. You should have publications in top-tier AI conferences and journals, expertise in building foundation models, and experience with AI for Simulation, GNNs, Transformers, or Diffusion Models. Strong communication, presentation, and teamwork skills are essential, along with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders. Desired skills include contributions to open-source machine learning projects, prior experience in a top AI research lab, and experience applying AI/ML to power systems, electrical grids, or related domains. If you are a visionary individual with a passion for driving innovation in AI and a desire to revolutionize the energy landscape, we encourage you to apply for this challenging and future-oriented role at Siemens Energy.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

Job Summary: We are looking for a visionary Senior AVP - Generative AI Lead to spearhead our Generative AI initiatives. In this senior leadership role, you will design and execute cutting-edge AI strategies leveraging generative models to drive innovation, optimize business processes, and create new AI-driven products. You will lead a cross-functional team of AI researchers, engineers, and data scientists to develop scalable generative AI solutions that align with organizational goals. Key Responsibilities: Lead the development and deployment of generative AI models (e.g., GPT, diffusion models, transformers) across various business units. Define the AI strategy focusing on generative models to enhance product offerings, customer experience, and operational efficiency. Collaborate with business leaders and technology teams to identify high-impact use cases and translate them into AI solutions. Oversee research and experimentation to stay ahead of advancements in generative AI and related technologies. Manage, mentor, and grow a high-performing team of AI specialists, fostering innovation and technical excellence. Ensure ethical AI practices, data privacy, and compliance in all generative AI projects. Drive AI infrastructure development and integration with existing technology platforms. Present technical insights and strategic recommendations to C-suite executives and stakeholders. Build partnerships with external AI vendors, academic institutions, and industry consortia. Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related technical field. 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies. Proven track record in leading AI teams and delivering large-scale generative AI projects. Deep knowledge of generative AI architectures such as transformers, GANs, VAEs, diffusion models, etc. Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. Experience with cloud AI services (AWS Sagemaker, Azure AI, Google AI) and scalable deployment. Strong business acumen and ability to translate AI capabilities into measurable business outcomes. Excellent leadership, communication, and stakeholder management skills. Understanding of AI ethics, fairness, and regulatory considerations. Preferred Skills: Experience in NLP, computer vision, or multimodal generative models. Familiarity with large language models (LLMs) like GPT-4, PaLM, or similar. Background in product innovation or AI-driven transformation initiatives. Exposure to Agile and DevOps practices for AI/ML workflows.

Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company's AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master's in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

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.,

Fine-tune diffusion models to enhance image quality, resolution, and style adaptability. Optimize prompt engineering techniques to refine and control image generation outputs. Develop post-processing and ranking algorithms to improve the accuracy and aesthetics of generated images. Integrate diffusion models with other AI techniques, including GANs, transformers, and hypernetworks, to expand generative capabilities. Deploy AI models into production environments, ensuring scalability and efficiency. Utilize containerization tools (Docker, Kubernetes, etc.) to streamline AI model deployment. Collaborate with AI researchers and product teams to bring AI-powered image generation solutions into real-world applications. BTech/MTech/MS in Computer Science, AI, or a related field. 2+ years of experience working with Generative AI and Computer Vision. Strong expertise in diffusion models, generative AI, and image processing. Hands-on experience with model fine-tuning and optimization. Understanding of ControlNets, hypernetworks, and AI-based prompt engineering. Proven track record in AI model deployment and scalable pipelines. Experience working with production-grade AI workflows and cloud-based solutions. Strong debugging skills Ability to troubleshoot model failures and optimize performance. Team player mindset Comfortable working with cross-functional teams. Excellent communication & presentation skills Ability to explain research concepts clearly. Comfortable working in a high-performance, in-office environment. Takes ownership from Day 1, proactively solving challenges.

This role is for one of the Weekday's clients Min Experience: 3 years JobType: full-time Requirements Key Responsibilities Design, develop, and fine-tune diffusion models for tasks such as furniture detection, placement, replacement, and ultra-realistic rendering in images. Build advanced image re-rendering pipelines that allow seamless integration of furniture into varied real-world environments. Collaborate with product and design teams to understand user needs and develop impactful AI-driven visual solutions. Research and implement cutting-edge generative AI techniques for photorealistic image synthesis. Train, optimize, and deploy large-scale models, ensuring high fidelity and accuracy across diverse datasets. Work closely with DevOps to develop scalable APIs and integrate AI models into production environments. Requirements Technical Experience: 38 years of hands-on experience in Generative AI, with a focus on diffusion models. Proven expertise in object or furniture replacement, placement, and realistic re-rendering using generative approaches. Core Skills: Proficiency inPyTorchfor deep learning model development. In-depth knowledge and experience fine-tuning diffusion models (e.g., Stable Diffusion, DDPM). Experience withGANs,NeRF, or similar models for photorealistic image generation. Strong background indistributed trainingand GPU acceleration (CUDA). Familiarity with 3D vision concepts including rendering pipelines, texture mapping, and lighting simulation. Experience working with large-scale datasets and performance tuning for model accuracy and efficiency. Soft Skills Excellent analytical and problem-solving abilities. Strong communication skills to explain complex architectures and technical decisions. Proactive, collaborative, and team-oriented mindset. Keywords / Tools Generative AI, Diffusion Models, PyTorch, Computer Vision, Deep Learning, CNN, 3D Vision, Image Processing, Object Detection, CUDA, Stable Diffusion, NeRF, GANs

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.

Job Summary: We are seeking a passionate and technically skilled AI / ML Engineer with 2+ years of hands-on experience in Computer Vision and Generative AI (GenAI). This role involves building and optimizing advanced visual intelligence systems leveraging PyTorch, OpenCV, transformers, and diffusion models. The ideal candidate will have experience in areas such as image segmentation, pose estimation, video inpainting, and synthetic data generation, along with exposure to LLM-prompt integration and datasets like DeepFashion2 and COCO. Key Responsibilities: Develop and deploy advanced computer vision models for tasks such as image segmentation, pose estimation, and video manipulation. Implement and experiment with Generative AI techniques, including diffusion models, GANs, and video inpainting. Leverage PyTorch, OpenCV, and modern deep learning frameworks to build scalable vision pipelines. Integrate LLM-based prompting into visual workflows and multimodal applications. Utilize datasets such as DeepFashion2, COCO, and custom synthetic datasets for model training and validation. Optimize model inference for performance, latency, and resource efficiency in production environments. Collaborate with data scientists, product engineers, and designers to deliver intelligent visual features in end-user applications. Qualifications: 2+ years of experience in machine learning and computer vision. Proficiency with PyTorch, OpenCV, and relevant deep learning libraries. Hands-on experience with image segmentation, pose estimation, or video-based vision tasks. Understanding of diffusion models, GANs, and transformer-based architectres. Knowledge of LLM prompt engineering and multimodal integration. Experience working with structured datasets like COCO and DeepFashion2. Strong debugging, analytical, and performance optimization skills. Preferred Qualifications : Experience in synthetic data generation and domain-specific data augmentation. Familiarity with model quantization, pruning, or other inference optimization techniques. Exposure to MLOps tools and cloud-based model deployment (e.g., AWS Sagemaker, GCP AI Platform). Contributions to open-source projects or published research in computer vision or generative models. Location: Pan- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai