45 Gans Jobs

As a Manager, ML Ops Engineer at Genpact, you will be an integral part of the team responsible for building and maintaining the infrastructure and pipelines for cutting-edge Generative AI applications. Your role will involve collaborating closely with the Generative AI Full Stack Architect to ensure the efficiency, scalability, and reliability of Generative AI models in production. Your responsibilities will include designing, developing, and implementing ML/LLM pipelines for generative AI models, conducting research to explore new techniques, integrating GenAI APIs and microservices into existing systems, and automating ML tasks across the model lifecycle using tools like GitOps, CI/CD pipelines, and containerization technologies. Furthermore, you will be involved in MLOps support and maintenance on ML platforms Dataiku/Sagemaker, implementing version control, CI/CD pipelines, and containerization techniques, designing monitoring and alerting systems, and collaborating with infrastructure and DevOps teams for resource management. To qualify for this role, you should have a Bachelor's degree in computer science, Data Science, Engineering, or a related field, along with a deep understanding of generative AI concepts and experience in MLOps or related areas. Strong expertise in cloud platforms, CI/CD principles, containerization technologies, and monitoring tools is essential. Excellent communication, collaboration, and problem-solving skills are also required, along with a passion for Generative AI and its potential to transform industries. If you are looking to join a dynamic team at Genpact and contribute to the advancement of Generative AI technologies, we encourage you to apply for the Manager, ML Ops Engineer position in India-Bangalore. This is a full-time role with the opportunity to work on cutting-edge projects and make a significant impact in the field of AI. Join us on this exciting journey to shape the future with your expertise in ML Ops and Generative AI!,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

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.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,

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 experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your key responsibilities will include developing models for segmentation, object classification, crop monitoring, and disaster management. It is essential for you to have proficiency in Python, ML frameworks such as TensorFlow and PyTorch, and strong research skills. An advanced degree is required for this role. SatSure is a deep tech, decision intelligence company that focuses on agriculture, infrastructure, and climate action in the developing world. The company aims to make insights from earth observation data accessible to all. Joining SatSure means being at the forefront of building a deep tech company from India that aims to solve global problems. In this role, you will be responsible for implementing deep-learning models and frameworks for various applications in agriculture and infrastructure using earth observation data. You will design and implement performance evaluation frameworks, explore new methods for improving performance, and build model monitoring and active learning pipelines. Additionally, you will work on solving research problems related to land use and land cover (LULC), crop classification, change monitoring, and disaster management using earth observations. To qualify for this role, you should have a master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with 5-8 years of experience in machine learning-based data product research and development. Proficiency in tools and frameworks related to computer science, probability, statistics, learning theory, and deep learning fundamentals is required. Experience with statistical modeling techniques and deep learning models like CNN, RNN, Transformers, and GANs is necessary. You should also be proficient in Python and have hands-on experience in using ML frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and MxNet. Additional qualifications include the ability to design, develop, and optimize machine learning/deep learning models, knowledge of applying ML to earth observation data, and an appetite for research and implementing innovative solutions for complex problems. In addition to a challenging and rewarding work environment, SatSure offers benefits such as medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, and a comprehensive leave policy. The interview process includes an introductory call, assessment, presentation, multiple interview rounds, and a culture/HR round. Join SatSure to be a part of a dynamic team that is making a positive impact on the world through innovative technology and deep learning solutions.,

Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Lead within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm's rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Proactively develop an understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills: - Formal training or certification in applied AI/ML concepts and 5+ years of applied experience. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. - Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. - Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. - Experience with graph analytics and neural networks (PyTorch). - Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, and Skills: - Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). - Familiarity with the financial services industry.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

You will be joining Firstsource Solutions Limited as a Data Scientist where you will be utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to develop innovative data-driven solutions and applications. Your role will involve designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Your responsibilities will include designing and implementing advanced ML and DL models, developing web applications for model deployment to enable real-time data processing and user interaction, performing exploratory data analysis to understand underlying patterns and trends, creating data processing pipelines to prepare large datasets for analysis and modeling, employing Generative AI techniques for content generation, and collaborating with cross-functional teams to integrate AI capabilities into products and systems. To excel in this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of relevant experience in a data science role focusing on ML, DL, and statistical modeling. Strong coding skills in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV), and NLP libraries (e.g., NLTK, spaCy) are essential. Experience with generative models such as GANs, VAEs, or Transformers, deployment skills with Docker, Kubernetes, and CI/CD pipelines, and excellent analytical and communication skills are also required. Certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. This position is available in multiple locations including Hyderabad, Mumbai, Bangalore, and Chennai. Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Be cautious of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

You will be working as a Data Scientist at FSL, utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to create innovative data-driven solutions and applications. Your role will involve designing and implementing advanced ML and DL models, developing web applications for model deployment using Flask and FastAPI, and ensuring efficient deployment and monitoring of these systems. Additionally, you will be responsible for performing data analysis, including exploratory data analysis to identify patterns and trends, as well as developing data processing pipelines to prepare large datasets for analysis and modeling. Your tasks will also include utilizing Generative AI techniques to create new data points and enhance content generation, collaborating with cross-functional teams to integrate AI capabilities into products, and ensuring that AI solutions align with business goals and user requirements. You will need to stay updated with the latest AI, ML, DL, CV, and NLP developments, explore new technologies, and effectively communicate complex quantitative analysis to senior management and other departments. To qualify for this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling. Your technical skills should include strong coding abilities in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (PyTorch, TensorFlow), CV (OpenCV), and NLP libraries (NLTK, spaCy). Experience with generative models like GANs, VAEs, or Transformers, as well as deployment skills with Docker, Kubernetes, and CI/CD pipelines, are also required. Strong analytical skills, excellent communication skills, and certifications in Data Science, ML, or AI from recognized institutions will be advantageous. This position is available in Hyderabad, Mumbai, Bangalore, and Chennai.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

Role & responsibilities Experimenting with new Generative AI models Developing proof of concepts and pilots for various Generative AI and Agentic AI use cases Collaborating with Solution Architects and Enterprise Architects Evangelizing Generative AI and AI adoption within the bank Creating and presenting demos to promote reference architectures Experience: 5+ years of relevant experience Skills: 1. Programming Languages: a. Python 2. Machine Learning Frameworks: a. PyTorch b. TensorFlow 3. Experience with Generative AI Models: a. GANs (Generative Adversarial Networks) b. VAEs (Variational Autoencoders) c. Transformers 4. Cloud Platforms: a. AWS (Amazon Web Services) b. GCP (Google Cloud Platform) c. Azure 5. Data Handling: a. Feature stores b. Vector stores c. Retrieval-Augmented Generation (RAG) d. Data visualization 6. Big Data Technologies: a. Spark 7. Workflow Orchestration: a. Airflow

As a research scientist at AryaXAI, you will have the unique opportunity to be part of a team that is revolutionizing the field of AI. Our mission is to develop explainable, safe, and scalable AI systems that empower researchers, engineers, and organizations while ensuring transparency and safety. Our team at AryaXAI is driven by a shared passion for innovation, collaboration, and excellence. In our flat organizational structure, everyone actively contributes to our mission, embodying values of curiosity, initiative, and outstanding performance. In this role, you will tackle advanced challenges in ML explainability, safety, and alignment. You will have the flexibility to specialize in various ML/DL areas that address these challenges, and develop new techniques around ML Observability & Alignment. Collaborating with MLEs and SDEs, you will lead the rollout of features and ensure their quality and stability. Additionally, you will be responsible for creating and maintaining technical and product documentation. To excel in this position, you should have a strong academic background in machine learning and deep learning concepts. Hands-on experience with frameworks like Tensorflow and Pytorch is essential. An enthusiasm for working on diverse DL problems involving different data sets (textual, tabular, categorical, images) is crucial. Proficiency in deploying code in cloud/on-premise environments, along with solid knowledge of MLOps and productionizing ML models, is required. Moreover, prior experience in ML explainability methods such as LRP, SHAPE, LIME, IG, CEM, and at least 2 years of hands-on experience in Deep Learning or Machine Learning are preferred. Hands-on experience in implementing techniques like Transformer models, GANs, and other deep learning models will be beneficial for this role.,

As a Senior AI/ML Engineer, you will be responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures such as GPT, BERT, T5, and other deep learning models utilized for text, image, or multimodal generation. You will work with extensive and complex datasets by cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Additionally, you will collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs. Your role will involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. You will also be responsible for developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. It is essential to stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Furthermore, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders with an emphasis on explainability and responsible AI practices. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI would be advantageous. You should have 12-16 years of experience in machine learning, with at least 8 years in designing and implementing generative AI models or working specifically with transformer-based models. The ideal candidate will possess expertise in generative AI, transformer models, GANs, VAEs, text generation, and image generation. Strong knowledge of machine learning algorithms, deep learning, neural networks, and programming skills in Python and SQL are required. Familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and experience with MLOps tools like Docker, Kubernetes, MLflow, and Cloud Platforms (AWS, GCP, Azure) is essential. Additionally, proficiency in data engineering concepts such as data preprocessing, feature engineering, and data cleaning is preferred. Joining our team will provide you with an opportunity to work on technical challenges with global impact, vast opportunities for self-development through online university access and sponsored certifications, sponsored Tech Talks & Hackathons, and a generous benefits package including health insurance, retirement benefits, flexible work hours, and more. You will work in a supportive environment with forums to explore passions beyond work, offering an exciting opportunity to contribute to cutting-edge solutions while advancing your career in a dynamic and collaborative setting.,

As a Python API Developer specializing in Product Development, you will leverage your 4+ years of experience to design, develop, and maintain high-performance, scalable APIs that drive our Generative AI products. Your role will involve close collaboration with data scientists, machine learning engineers, and product teams to seamlessly integrate Generative AI models (e.g., GPT, GANs, DALL-E) into production-ready applications. Your expertise in backend development, Python programming, and API design will be crucial in ensuring the successful deployment and execution of AI-driven features. You should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Your professional experience should demonstrate hands-on involvement in designing and developing APIs, particularly with Generative AI models or machine learning models in a production environment. Proficiency in cloud-based infrastructures (AWS, Google Cloud, Azure) and services for deploying backend systems and AI models is essential. Additionally, you should have a strong background in working with backend frameworks and languages like Python, Django, Flask, or FastAPI. Your core technical skills include expertise in Python for backend development using frameworks such as Flask, Django, or FastAPI. You should possess a strong understanding of building and consuming RESTful APIs or GraphQL APIs, along with experience in designing and implementing API architectures. Familiarity with database management systems (SQL/NoSQL) like PostgreSQL, MySQL, MongoDB, Redis, and knowledge of cloud infrastructure (e.g., AWS, Google Cloud, Azure) are required. Experience with CI/CD pipelines, version control tools like Git, and Agile development methodologies is crucial for automating deployments and ensuring efficient backend operations. Key responsibilities will involve closely collaborating with AI/ML engineers to integrate Generative AI models into backend services, handling data pipelines for real-time or batch processing, and engaging in design discussions to ensure technical feasibility and scalability of features. Implementing caching mechanisms, rate-limiting, and queueing systems to manage AI-related API requests, as well as ensuring backend services can handle high concurrency during resource-intensive generative AI processes, will be essential. Your problem-solving skills, excellent communication abilities for interacting with cross-functional teams, and adaptability to stay updated on the latest technologies and trends in generative AI will be critical for success in this role.,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

As a skilled Data Scientist specializing in Generative AI, you will be responsible for designing, developing, and deploying state-of-the-art AI models to tackle real-world business challenges. Your role will involve working with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions. Your key responsibilities will include: - Designing, developing, and fine-tuning advanced Generative AI models such as LLMs, GANs, and Diffusion models. - Implementing and enhancing RAG and transformer-based architectures to enable contextual understanding and document intelligence. - Customizing and optimizing LLMs for specific domain applications. - Building, maintaining, and optimizing ML pipelines and infrastructure for model training, evaluation, and deployment. - Collaborating with engineering teams to integrate AI models into user-facing applications. - Staying updated with the latest trends and research in Generative AI, open-source frameworks, and tools. - Analyzing model outputs for quality and performance, ensuring adherence to ethical AI practices. To excel in this role, you should possess the following skills: - Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, and HuggingFace Transformers. - Deep understanding of GenAI architectures such as LLMs, RAG, GANs, and Autoencoders. - Experience in fine-tuning models using techniques like LoRA, PEFT, or equivalents. - Knowledge of vector databases like FAISS, Pinecone, and embedding generation methods. - Experience in handling datasets, preprocessing, and synthetic data generation. - Solid grasp of NLP concepts, prompt engineering, and safe AI practices. - Hands-on experience in API development, model deployment, and cloud platforms such as AWS, GCP, and Azure. By leveraging your expertise in Generative AI and staying abreast of industry advancements, you will play a crucial role in developing cutting-edge solutions to address complex business problems.,

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.,

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.,

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. The mission of AryaXAI is to create AI tools that empower researchers, engineers, and organizations, including banks, financial institutions, and large enterprises, to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. The team at AryaXAI thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. Each team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that the work not only advances technology but also meets the rigorous demands of regulated sectors. As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You will lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities include: - Model Evaluation & Customization - Architectural Assessment - Enterprise Integration - Advanced AI Techniques - Specialization & Innovation - Collaboration & Quality Assurance - Documentation & Compliance Qualifications: - Educational & Professional Background - Regulated Industry Experience (FS, Banking or Insurance is preferred) - Technical Expertise - Diverse Data Handling - Deployment Proficiency - Publications & Contributions A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors, is required. The ideal candidate will have a proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.) is essential. Experience working with varied data types, including textual, tabular, categorical, and image data, and the ability to develop models that handle complex, enterprise-level datasets is also required. Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems, is a key qualification. Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.,