8841 Pytorch Jobs - Page 17

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge: Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, and Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we’d love to have you join us. Responsibilities: As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products. Collaborating with multi-functional teams, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, designing, and implementing pioneering techniques in natural language understanding, computer vision, and multimodal learning for content and asset discovery. You will also contribute to the end-to-end ML pipeline, including data preprocessing, model training, evaluation, deployment, and monitoring, while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team. What You’ll Need to Succeed: Bachelor’s or equivalent experience, advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. 6–9 years of industry experience building and deploying machine learning systems at scale. Proficiency in programming languages such as Python (for ML/AI) and Java (for production-grade systems). Strong expertise in machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Solid understanding of mathematics and ML fundamentals: linear algebra, statistics, optimization, and numerical methods. Experience with deep learning techniques for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI. Consistent track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability. Knowledge of large-scale distributed systems and frameworks (e.g., Kubernetes, Spark, Hadoop). Strong problem-solving skills and the ability to innovate new solutions for complex challenges. Excellent communication and collaboration skills to work efficiently in a fast-paced, multi-functional environment. Nice-to-Haves: Experience with generative AI (e.g., Stable Diffusion, DALL·E, MidJourney) and its application in content creation or discovery. Knowledge of computational geometry, 3D modeling, or animation pipelines. Familiarity with real-time recommendation systems or search indexing. Publications in peer-reviewed journals or conferences in relevant fields. Why Join Us? Be part of a dynamic, innovative team shaping the future of AI-powered creative tools. Work on impactful, large-scale projects that touch millions of users daily. Enjoy the benefits and resources of a leading global company with the agility of a startup environment. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About the Role: Join us as an ML/Agentic AI Engineering Intern to work on frontier problems in Generative AI, Agentic AI, and Optimization-focused ML, contributing to real-world intelligent systems powered by deep learning and language models. Responsibilities: Build, fine-tune, and deploy LLMs, multimodal models. Implement memory-augmented agents, chain-of-thought agents, or tool-using agents. Collaborate on end-to-end ML pipelines from preprocessing to deployment. Work with vector databases, RAG pipelines, and prompt engineering. Requirements: Strong background in Python, PyTorch/TensorFlow, HuggingFace. Experience with LLMs (OpenAI, Gemini, LLaMA, Claude). Experience with agentic frameworks (LangChain, Autogen, CrewAI). Good grasp of optimization techniques (gradient descent, metaheuristics, etc.). Familiarity with MLOps and deployment strategies is a plus. Time Period : Minimum 3 months (Can be extended based on candidate's performance) For Inquiry Contact: Jnan Yalla, Chief AI Officer, DataTeach.Ai Phone : +91-9150859936 Email : jnan@datateach.ai Job Types: Full-time, Fresher Pay: Up to ₹8,000.00 per month Benefits: Work from home Language: English (Required) Telugu (Preferred) Location: KPHB Colony, Hyderabad, Telangana (Preferred) Work Location: In person Expected Start Date: 04/08/2025

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About Connect Adobe Connect, within Adobe DALP BU is one of the best online webinar and training delivery platform. The product has a huge customer base which has been using it for many years. The product has evolved magnificently over a period of time ensuring it stay on top of the latest tech stack. It offers opportunity to look at plethora of technologies on both client and server side. What You’ll Do: Hands-on Machine Learning Engineer who will release models in production. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining. Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting. Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap. Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops. Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers. Handle project scope and risks with data, analytics, and creative problem-solving. What you require: Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques Experience with control systems, reinforcement learning problems, and contextual bandit algos. Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets. TensorFlow, R, scikit, pandas Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark Good to have - Git, Docker, Kubernetes GenAI, RAG pipelines a must have technology Cloud based solutions is good to have General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Ideal Candidate Profile: A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics. Masters or B.Tech in Computer Science/ Statistics Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven management experience with highly diverse and global teams. Demonstrated ability to influence technical and non-technical stakeholders. Proven ability to effectively manage in a high-growth, matrixed organization. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases. An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. A relentless pursuit of great customer experiences and continuous improvements to the product. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description The development engineer will be part of a team working on the development of the Illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solvers and well conversant in analyzing, architecting,, and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in the the fundamentals of machine learning and artificial intelligence. Should have hands on experience through ML lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands-on experience with data synthesis and processing for the purpose of training a model. Relevant work experience in the fields of computer vision and graphics, etc. Experience: 2-4 Years in ML Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Excited by AI/ML? Interested in crafting new innovative solutions using Machine Learning? The Document Cloud team, in Noida, is crafting PDF solutions spanning all surfaces - Web, Mobile, Desktop and Platform APIs, that processes billions of PDFs every month using ML, Deep-Learning and Generative AI at its core. As a part of this, we need expert individuals focusing on research and development of methods for processing huge amount of content, and can build mashups of Vision, Image Processing, NLP, generative models to solve sophisticated problems. What you get to do in this role: Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD preferred. 3+ years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP. Ability to write efficient, clean, and reusable code in Python. Knowledge of C++. Broad Machine Learning experience – Data, Modelling, Metric, Analysis of Results. Experience in prompt-engineering and working with advanced-RAG systems. Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning. Hands-on coding in pyTorch or Tensorflow. Exposure in building solutions from scratch and writing maintainable code inside large existing codebases. Strong software development skills that encourage code reuse among engineers and researchers. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. Your primary job responsibilities include documenting data requirements for your product and coordinating with technology and business partners to manage change from legacy to modernized data. You will have to model data for efficient querying and use in LLMs by utilizing the business data dictionary and metadata. Moreover, you are expected to develop ideas for data products by understanding analytics needs and creating prototypes for productizing datasets. Additionally, developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities will be part of your tasks. You will also support the team in building backlog, grooming initiatives, and leading data engineering scrum teams. Managing direct or matrixed staff to execute data-related tasks will also be within your purview. To be successful in this role, you should hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. Furthermore, you should possess the ability to balance short-term goals and long-term vision in complex environments, along with knowledge of open data standards, data taxonomy, vocabularies, and metadata management. A Master's degree is preferred for this position, along with the aforementioned qualifications, capabilities, and skills.,

Hiring for One of Our Client Full Time Opportunity Work from Office Location : Hyderabad Notice : Immediate or 15 days Job Description Summary: Develop AI-driven data conversion and validation solutions Strong expertise in Python, SQL, AI/ML (TensorFlow, PyTorch), and data modeling Hands-on with databases (SQL Server, MongoDB), and data mapping/conversion Work closely with cross-functional teams including AI engineers and business analysts Preferred: Financial services background, experience with Azure AI services, DevOps tools Mandatory Skills – Data Scientist (8+ Yrs, Hyderabad) Programming Languages Python (Strong expertise) SQL 2.AI/ML Frameworks TensorFlow or PyTorch 3.Data Mapping & Code Generation Experience with AI-driven data mapping Automated code generation using AI models 4.Data Validation & Code Conversion AI-based validation techniques Understanding of AI algorithms for code conversion 5.Databases SQL Server MongoDB 6.Core Data Science Skills Strong problem-solving and analytical abilities Experience with model development and data pipelines Ability to analyze complex datasets and deliver insights 7.Collaboration Ability to work with cross-functional teams including AI engineers, developers, analysts 8.Experience Requirement Minimum 5+ years relevant experience (with 8+ years total experience preferred) Interested candidates kindly forward your resume to swetha.s@thompsonshr.com

Job Description We are seeking an experienced and highly motivated AI/ML Lead Developer to lead our team in the development of advanced AI/ML solutions. The ideal candidate will have a strong focus on natural language processing (NLP) and NLU related work, with secondary focus on computer vision and deep learning. Experience with chatbots development would be a plus. Location- Chandigarh, Nagpur Exp.- 4+ yrs. Key Responsibilities: Lead the development and implementation of advanced AI/ML algorithms for natural language processing, computer vision, and deep learning tasks Collaborate with cross-functional teams to understand business requirements and develop solutions Mentor and manage a team of AI/ML developers, guiding them in the development of high-quality, scalable AI/ML models Experiment with new AI/ML techniques and technologies to improve performance and scalability Stay up-to-date with the latest research in AI/ML, particularly in the areas of NLP, computer vision, and deep learning Qualifications: 4+ years of experience in AI/ML development with a strong focus on NLP related work, and secondary focus on computer vision and deep learning Experience leading and managing a team of AI/ML developers Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks Experience with NLP libraries such as NLTK, spaCy, HuggingFace and computer vision libraries like OpenCV Working experience with GPT3, BERT models Experience with deep learning architectures such as CNN, RNN, GAN and LSTM Strong understanding of machine learning concepts and techniques Experience with cloud-based AI/ML platforms such as AWS or Google Cloud Experience with chatbot development is a plus Excellent communication and leadership skills Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit http://www.smartdatainc.com If Interested, Kindly share your Updated Resume along with below details- Total Experience: Relevant Experience: Tech Stack: Current Company: Current Location: Home Location: Reason of Change: Number of Job Changes: Current Salary: Expected Salary: Notice Period: Contact No.: Alternative contact no: Mail ID: Ready to Relocate Mohali/Nagpur: Y/N Ready to Work From Office: Y/N Please share your updated CV on deepti.vyas@smartdatainc.net or call us on 9664338930. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

As an AI/ML Engineer at our growing company, you will play a crucial role in leading the development of an AI-powered customer support solution. Your primary responsibility will be to design, develop, and deploy a human-like conversational AI tool. This presents a unique opportunity for you to take ownership of the entire AI lifecycle, all while contributing to a groundbreaking product within a lean and agile environment. Your key responsibilities will involve AI and Machine Learning Development, where you will design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Moreover, you will focus on building models that can adapt to regional dialects, informal language, and varying emotional tones, as well as developing and optimizing a self-training module that learns from human interactions. In the realm of Software Development, you will be tasked with designing and developing APIs for seamless voice-based interaction and system integration. Additionally, you will implement scalable and efficient backend architecture to support AI functionalities and construct front-end interfaces or dashboards for training, monitoring, and analytics purposes. Integration is another critical aspect of your role, where you will be responsible for integrating the AI tool with customer platforms such as CRMs, telephony systems, and email support tools. It will also be essential to ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Your role will also involve Testing and Optimization, where you will conduct end-to-end testing to ensure high-quality performance and robustness. You will further optimize algorithms for real-time response and low latency to enhance user experience. Project Ownership will be a significant part of your responsibilities, requiring you to manage data preparation and processing pipelines. Collaborating with stakeholders to prioritize features for a minimum viable product (MVP) while staying up-to-date with the latest AI/ML tools and frameworks for continuous improvement will also be essential. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Your AI/ML Expertise should include proficiency in NLP frameworks, experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn, and knowledge of transfer learning and fine-tuning pre-trained models. Strong Python skills, familiarity with JavaScript or similar languages, experience with RESTful APIs, knowledge of databases, and basics of DevOps are also required. If you have worked on conversational AI or voice-based interaction systems, familiarity with telephony tools, hands-on experience in deploying AI solutions at scale, or experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance, it would be considered a plus. Your success in this role will be driven by your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.,

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.,

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification. Collaborate with data scientists and machine learning engineers to integrate computer vision and NLP models into production systems. Work with large datasets to train and fine-tune models, ensuring high accuracy and performance. Conduct research to stay updated on the latest advancements in computer vision and NLP, and apply them to ongoing projects. Optimize model performance for real-time applications on various platforms (e.g., cloud, mobile, edge devices). Analyze and preprocess datasets including images, videos, and text for training and validation. Collaborate with cross-functional teams to ensure seamless integration of computer vision and NLP components within larger applications. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience (3+ years) in developing computer vision solutions and NLP models. Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, Keras, and scikit-learn. Hands-on experience with deep learning frameworks (e.g., CNNs, RNNs, Transformers) for both computer vision and NLP tasks. Expertise in Natural Language Processing tasks such as tokenization, text embedding, and sequence-to-sequence models. Familiarity with Optical Character Recognition (OCR) tools and techniques. Experience working with datasets for object detection, semantic segmentation, and text recognition from visual data. Proficiency in deploying and scaling machine learning models in production environments (AWS, GCP, Azure). Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Preferred Skills: Knowledge of Reinforcement Learning (RL) and how it can be applied to vision tasks. Familiarity with multimodal machine learning, integrating vision and language models. Experience in edge computing for deploying models in real-time environments. Strong understanding of cloud-based AI/ML pipelines.,

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As an accomplished VP/Director of Data Scientist with over 15 years of experience, you will play a crucial role in leading our Data Science team. Your responsibilities will include providing strategic leadership in developing and executing the organization's data science strategy, overseeing the design and deployment of sophisticated predictive models, ensuring data governance and compliance, identifying and implementing emerging technologies, collaborating with cross-functional teams, and serving as a thought leader in the field of data science. Your key responsibilities will involve driving innovation and excellence in all data-driven initiatives, developing and deploying advanced models using cutting-edge statistical and machine learning techniques, implementing robust data governance frameworks, identifying and implementing emerging technologies, leading cross-functional teams, representing the organization at industry conferences, building and leading a high-performing team, preparing comprehensive reports and presentations, and continuously seeking opportunities to enhance analytical capabilities. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master's or PhD degree being highly preferred. You should have over 15 years of hands-on experience in data science, particularly in the banking or financial services industry. Proficiency in programming languages like Python, R, or SQL, experience with data visualization tools such as Tableau or Power BI, expertise in machine learning frameworks like scikit-learn or TensorFlow, and strong analytical and problem-solving skills are essential requirements. Preferred qualifications include a comprehensive understanding of banking processes, products, and regulatory requirements, relevant certifications in data science or analytics, extensive experience in project management, and strong leadership skills with a strategic mindset and attention to detail. If you are a visionary leader with a passion for data science and a proven track record of strategic leadership in the banking sector, we invite you to join our team and drive innovation, excellence, and continuous improvement in our data analytics capabilities.,

As an AI/ML Model Developer in this role, your core responsibility will be to build and optimize AI/ML models by leveraging Azure-based AI tools, TensorFlow, PyTorch, and similar frameworks. You will focus on the Logistics & Maritime industries, addressing complex business challenges using AI. Your expertise in cloud-based AI services for data storage, processing, and model deployment, with extensive use of Azure (and optionally AWS), will be crucial in this position. Your key responsibilities will involve designing, developing, and implementing machine learning algorithms. You will collaborate with business teams to translate requirements into technical AI/ML solutions, ensuring data quality for training models through data preprocessing. Using cloud tools like Azure/AWS, you will optimize models for high performance, perform training, tuning, and evaluation of models for continuous improvement. Staying updated on advancements in AI/ML, exploring new techniques, and providing data analysis & visualization to support business decision-making will be essential. You will also enhance existing products with AI-driven features such as automation, prediction, and recommendations while maintaining records for AI models, pipelines, and experiments. To qualify for this position, you should hold a Bachelor's/Master's degree in Engineering Science, Data Science, or a related field, along with 3-4 years of relevant AI/ML experience, preferably in Logistics and Maritime sectors. Key skills and technologies required include proficiency in programming languages like Python, R, or Java, expertise in machine learning techniques such as supervised/unsupervised learning, regression, classification, and clustering. Familiarity with AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn, and experience with cloud platforms like AWS or Azure tools for AI services are necessary. Specific experience with Logistics and Maritime products, along with additional skills in deep learning, NLP, and computer vision, will be advantageous. Strong analytical thinking, problem-solving, and communication skills are essential soft skills for this role. This is a full-time, permanent position with a day shift schedule that requires in-person work at the designated location.,

As a highly skilled and experienced Generative AI Developer, you will be responsible for designing, developing, and implementing generative AI models using state-of-the-art techniques. Your role will involve collaborating with cross-functional teams to define project goals, research requirements, and develop innovative solutions. It will be crucial to optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Your expertise in generative AI Models, Frameworks, and techniques will be essential in applying them to develop innovative solutions. You will have hands-on exposure to integrating at least one of the popular LLM API endpoints such as OpenAI, Claude, Mistral. Additionally, your proven track record of working in cloud computing environments will enable you to deploy and manage machine learning models in the cloud effectively. Staying up-to-date on the latest advancements in generative AI, deep learning, and related fields will be vital for incorporating new techniques and methods into the team's workflow. Clear and concise documentation of generative AI models, processes, and results will be expected from you. Effective communication of complex concepts and results to both technical and non-technical stakeholders will play a key role in your responsibilities. Furthermore, you will provide support and guidance to other team members, contributing to a positive and collaborative working environment. Your qualifications should include a Bachelor's degree in computer science, artificial intelligence, or a related field, along with at least 2 years of relevant experience in generative AI development. Strong programming skills in Python with 8+ years, experience in AI/ML, proficiency in machine learning frameworks such as Lang chain, llama-index, FastAPI, Tensor Flow, PyTorch, or scikit-learn, experience with cloud computing platforms like Azure, excellent communication, and problem-solving skills, as well as the ability to work both independently and as part of a team.,

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 31st July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Experience : 2-7 Years Fresh Graduates with good knowledge in AI Models Tensorflow / Tensflow Lite will be considered for trainee positions. Required Skills: • Knowledge of anomaly detection techniques (statistical models, unsupervised learning) • Experience in integrating AI models (optimization for edge devices, TensorFlow Lite , etc.) • Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN) • Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Understanding of time-series data processing (experience with LSTM, GRU, etc.) • Sensor data processing (noise reduction, feature extraction, preprocessing techniques) • Data visualization and analysis skills (Pandas, Matplotlib, Seaborn) • AI model optimization and evaluation methods (cross-validation, hyperparameter tuning)

As a Ph.D. Data Scientist at PTS Consulting Services, you will be joining a dynamic team focused on advancing AI-driven solutions and conducting cutting-edge research in the areas of Artificial Intelligence (AI), Natural Language Processing (NLP), and Natural Language Understanding (NLU), as well as Generative AI. Your role will be pivotal in contributing to the development and implementation of advanced machine learning models and algorithms for various NLP and NLU tasks. Additionally, you will be responsible for analyzing large and complex datasets to extract valuable insights, training and evaluating machine learning models, developing relevant features from textual data, and collaborating with cross-functional teams to deliver comprehensive solutions. Furthermore, you will play a key role in continuously optimizing algorithms and models for efficiency and accuracy, documenting research findings, and staying updated with the latest advancements in AI, NLP, and NLU through continuous learning and participation in conferences and workshops. To qualify for this position, you must hold a Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, with proven expertise in AI, NLP, and NLU, demonstrated through a strong publication record in relevant conferences and journals. Proficiency in programming languages such as Python and libraries like NLTK, TensorFlow, PyTorch, or spaCy, experience with deep learning techniques and frameworks, and strong knowledge of statistical analysis, machine learning, and data mining are essential requirements. Additionally, familiarity with data preprocessing techniques for unstructured text data, excellent problem-solving skills, and the ability to work on complex research problems are crucial. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders are also desired qualities. Experience with cloud computing platforms, such as AWS or Azure, would be considered a plus. Join us at PTS Consulting Services and be a part of our journey towards major growth, where we value our clients and employees alike through a strong employee engagement culture. Come be a part of our team and contribute to the success of our AI-driven solutions and research efforts in the field of AI, NLP, NLU, and Generative AI.,

At Rhythm, our values serve as the cornerstone of our organization. We are deeply committed to customer success, fostering innovation, and nurturing our employees. These values shape our decisions, actions, and interactions, ensuring that we consistently create a positive impact on the world around us. Rhythm Innovations is currently looking for a skilled and enthusiastic Machine Learning (ML) Developer to conceptualize, create, and implement machine learning models that enhance our supply chain risk management and other cutting-edge solutions. As an ML Developer, you will collaborate closely with our AI Architect and diverse teams to construct intelligent systems that tackle intricate business challenges and further our goal of providing unparalleled customer satisfaction. Key Responsibilities Model Development: Devise, execute, and train machine learning models utilizing cutting-edge algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Data Preparation: Process, refine, and convert extensive datasets for the training and assessment of ML models. Feature Engineering: Identify and engineer pertinent features to enhance model performance and precision. Algorithm Optimization: Explore and implement advanced algorithms to cater to specific use cases such as classification, regression, clustering, and anomaly detection. Integration: Coordinate with software developers to integrate ML models into operational systems and guarantee smooth functionality. Performance Evaluation: Assess model performance using suitable metrics and consistently refine for accuracy, efficacy, and scalability. MLOps: Aid in establishing and overseeing CI/CD pipelines for model deployment and monitoring in production environments. Research and Development: Stay abreast of the latest breakthroughs in Gen AI AI/ML technologies and propose inventive solutions. Collaboration: Engage closely with data engineers, product teams, and stakeholders to grasp requirements and deliver customized ML solutions. Requirements Educational Background: Bachelor's in Engineering in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3 to 6 years of practical experience in developing and deploying machine learning models. Technical Skills Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Familiarity with big data frameworks (Hadoop, Spark) is advantageous. Knowledge of SQL/NoSQL databases and data pipeline tools (e.g., Apache Airflow). Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Gen AI AI/ML services. Thorough understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. Exposure to MLOps practices and model deployment pipelines. Soft Skills Strong problem-solving and analytical abilities. Effective communication and teamwork skills. Capability to thrive in a dynamic, collaborative environment.,

The Junior AI/ML Engineer role at Fulcrum Digital is an opportunity for an aspiring AI innovator and technical enthusiast to kickstart their AI journey by contributing to the development of cutting-edge AI solutions. This hybrid work model position allows employees to work from the office twice a week, with office locations in Pune, Mumbai, or Coimbatore to choose from based on preference and convenience. As a Junior AI/ML Engineer, you will collaborate with experienced professionals to build and implement innovative AI models and applications that solve real-world problems. This role offers more than just an entry-level experience by providing hands-on experience in developing and deploying AI/ML models, working on impactful projects, and learning and growing in a dynamic and innovative environment. Key responsibilities include assisting in the development and implementation of AI/ML models and algorithms, contributing to data preprocessing and feature engineering processes, supporting model evaluation and optimization, collaborating on research initiatives, and assisting in deployment and monitoring of AI/ML solutions. The ideal candidate should have a foundational understanding of machine learning concepts, programming skills in Python, familiarity with TensorFlow or PyTorch, and basic knowledge of data manipulation using libraries like Pandas and NumPy. Strong analytical, problem-solving, and communication skills are essential, along with a proactive and eager-to-learn attitude. The successful candidate will have a Bachelor's degree in Computer Science, Data Science, or a related field, a passion for artificial intelligence and machine learning, and a desire for continuous learning in the field of AI. Superpowers should include the ability to identify patterns in data, explain technical concepts clearly, consider ethical implications in AI development, and maintain an interest in staying updated with advancements in the field. Joining Fulcrum Digital as a Junior AI/ML Engineer offers the opportunity to work on exciting AI projects, be mentored by experienced professionals, contribute to innovative technological solutions, and gain valuable experience in a rapidly evolving field. If you are ready to be part of the AI revolution and shape the future of technology, apply now by sending your resume to the provided email address with the subject line "Application for Junior AI/ML Engineer".,

Build the AI Reasoning Layer for Education We’re reimagining the core intelligence layer for education —tackling one of the most ambitious challenges in AI: subjective assessment automation and ultra-personalized learning at scale. This isn’t just another LLM application. We’re building a first-principles AI reasoning engine combining multi-modal learning, dynamic knowledge graphs, and real-time content generation . The goal? To eliminate billions of wasted hours in manual evaluation and create an AI that understands how humans learn . As a Founding AI Engineer , you’ll define and build this system from the ground up. You’ll work on problems few have attempted, at the bleeding edge of LLMs, computer vision, and generative reasoning. What You’ll Be Solving: Handwriting OCR at near-human accuracy: How can we push vision-language models to understand messy, real-world input from students? Real-time learner knowledge modeling: Can AI track and reason about what someone knows—and how they’re learning—moment to moment? Generative AI that teaches: How do we create dynamic video lessons that evolve in sync with a learner’s knowledge state? Scalable inference infrastructure: How do we optimize LLMs and multimodal models to support millions of learners in real time? What You’ll Be Building: Architect, deploy & optimize multi-modal AI systems—OCR, knowledge-state inference, adaptive content generation. Build reasoning engines that combine LLMs, retrieval, and learner data to dynamically guide learning. Fine-tune foundation models (LLMs, VLMs) and implement cutting-edge techniques (quantization, LoRA, RAG, etc.). Design production-grade AI systems: modular, scalable, and optimized for inference at global scale. Lead experiments at the frontier of AI research, publishing if desired. Tech Stack & Skills Must-Have: Deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning and handwritten text recognition Strong proficiency in AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV. Experience in optimizing AI for production: LLM quantization, retrieval augmentation, and MLOps. Knowledge graphs and AI-driven reasoning systems experience Nice-to-Have: Experience with Diffusion Models, Transformers, and Graph Neural Networks (GNNs). Expertise in vector databases, real-time inference pipelines, and low-latency AI deployment. Prior experience in ed-tech, adaptive learning AI, or multi-modal content generation. Why This Role Is Rare Define the AI stack for a category-defining product at inception. Work with deep ownership across research, engineering, and infrastructure. Founding-level equity and influence in a high-growth company solving a $100B+ problem. Balance of cutting-edge research and real-world deployment. Solve problems that matter —not just academically, but in people’s lives. Who this role is for This is for builders at the edge—engineers who want to architect, not just optimize. Researchers who want their ideas shipped.If you want to: Push LLMs, CV, and multimodal models to their performance limits. Build AI that learns, reasons, and adapts like a human tutor. Shape the foundational AI layer for education

R022242 Pune, Maharashtra, India Engineering Regular Location Details: Pune, India This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team Join our Team Are you excited about building world-class software solutions that empower millions of customers globally? At GoDaddy, our engineers are at the forefront of developing innovative platforms that drive our core domain businesses. We are seeking a skilled Senior Machine Learning Scientist to join our Domain Search team, where you will design, build, and maintain the foundational systems and services powering GoDaddy’s search, ML, and GenAI platforms. In this role, you will develop and apply machine learning and LLM-based methods to improve our customers’ search experience and play a major part in improving the search page across all markets we serve. Whether you’re passionate about crafting highly scalable systems or developing seamless customer experiences, your work will be critical to ensuring performance, scalability, and reliability for our customers worldwide. Join us and help craft the future of software at GoDaddy! What you'll get to do... Work with the latest deep learning and search technologies to develop and optimize advanced machine learning models to improve our customers’ experience Be self-driven, understand the data we have, and provide data-driven insights to all of our challenges Mine datasets to develop features and models to improve search relevance and ranking algorithms Design and analyze experiments to test new product ideas Understand patterns and insights about what our users search for and purchase to help personalize our recommendations Your experience should include... 5 years of industry experience in deep learning and software development Skilled in machine learning, statistics, and natural language processing (NLP) Proficient with deep learning frameworks such as PyTorch and handling large datasets Experienced in programming languages like Python, Java, or similar Familiar with large-scale data analytics using Spark You might also have... Ph.D. in a related field preferred Experience with Amazon AWS, containerized solutions, and both SQL and NoSQL databases Strong understanding of software security standard processes Experience with Hadoop technologies such as Spark, Hive, and other big data tools; data analytics and machine learning experience are a plus Experience with Elastic Search and search technologies is a plus, with a passion for developing innovative solutions for real-world business problems We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page GoDaddy is proud to be an equal opportunity employer . GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies

R022243 Pune, Maharashtra, India Engineering Regular Location Details: Pune, India This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team Join our Team Are you excited about building world-class software solutions that power millions of customers globally? At GoDaddy, our engineers are at the forefront of crafting innovative platforms that drive our core domain businesses, and we’re looking for dedicated professionals to help us craft the future of software. Whether you’re passionate about developing highly scalable systems, seamless customer experiences, or advanced machine learning and LLM-based methods to improve the search experience, we have a place for you! As part of our Domain Search, Registrars, and Investors teams, you’ll work on impactful products like our domain name search engine, registration and management services, high-scale DNS, investor experience, and personalization through ML models. You’ll play a key role in improving the search page for customers worldwide, owning the design, code, and data quality of your products end-to-end. We value strong software engineers with experience in microservices, cloud computing, distributed systems, data processing, and customer focus—and we’re flexible regarding your technology background. Join a small, high-impact team of dedicated engineers as we build and iterate upon the world’s largest domain name registrar services and secondary marketplace What you'll get to do... Develop and maintain scalable, cloud-ready applications and APIs, contributing across the full technology stack, including persistence and service layers Leverage data analytics and ETL processes to transform, enrich, and improve product and customer experience in both batch and streaming scenarios Ensure high code quality through unit/integration testing, code reviews, and consistency with standard methodologies Lead technical projects through architecture, design, and implementation phases, solving end-to-end problems Collaborate effectively with distributed teams Your experience should include... 2+ years of industrial experience with a strong background in deep learning and software development Skilled in machine learning, statistics, and natural language processing (NLP) Hands-on experience with deep learning frameworks such as PyTorch and working with large datasets Proficient in programming languages such as Python or Java Familiar with large-scale data analytics using Spark You might also have... Experience with AWS and containerized solutions Proficient in both SQL and NoSQL databases Strong understanding of software security standard processes Experience with Hadoop technologies (e.g., Spark, Hive) and big data analytics; ML and search technologies (e.g., Elastic Search) are a plus We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page GoDaddy is proud to be an equal opportunity employer . GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies

Job Information Industry IT Services Date Opened 07/30/2025 Job Type Full time Work Experience 1-3 years City Chandigarh State/Province Chandigarh Country India Zip/Postal Code 160002 Job Description About CrossML CrossML is a cutting-edge software development firm specializing in AI and machine learning solutions. We deliver innovative technologies to empower businesses and enhance operational efficiency. Join us to work on impactful projects and stay ahead in the evolving tech landscape. Position Overview We are seeking a skilled AI Full Stack Developer with 1-2 years of experience in design, develop, and implement AI-driven applications. This role requires a combination of expertise in web development and a strong foundation in AI/ML. Requirements Key Responsibilities Develop, test, and deploy AI-driven web applications. Design and maintain front-end (React/Angular) and back-end (Node.js/Django/Flask) systems. Build and integrate AI/ML models into applications using frameworks like TensorFlow or PyTorch. Work with databases (SQL/NoSQL) to store and manage application data. Collaborate with cross-functional teams to design scalable solutions. Optimise applications for maximum performance and scalability. Required Skills Proficiency in Python and JavaScript. Experience with front-end frameworks (React/Angular) and back-end technologies (Node.js/Django/Flask). Basic understanding of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Familiarity with RESTful APIs and version control systems (Git). Strong problem-solving and debugging skills. Benefits What We Offer Medical Insurance: Comprehensive coverage. 5-Day Work Week: Healthy work-life balance. Paid Time Off: Relax and recharge. Learning Opportunities: Upskill with AI/ML and full-stack development training programs. Join CrossML and become part of a dynamic team where innovation and growth are at the core of everything we do.

Location Bangalore, Karnataka, India Employment Type Full time Location Type Hybrid Department R&D - SW Systems Compensation IC5 $155.3K – $234.4K • Offers Equity • Offers Bonus The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Bangalore, India headquarters 3 days per week. What you will do: The role requires you to be part of the team that helps productize the SW stack for the d-Matrix AI compute engine. As part of the Software QA team, you will be responsible for the test automation development for d-Matrix components and products, and you will be responsible for maintaining and improving the test infrastructure for next-generation AI hardware. You have the logic to build and scale the test framework to deliver highly qualified software stacks and hardware products. As a part of the SW-QA team, you’ll be involved in leveraging the d-Matrix Gitlab CI/CD infrastructure and Pytest framework to achieve component and end-to-end qualification. You will be involved in developing large language model accuracy, benchmarking, and robustness testing using your own developed automation. You will work with global ML core kernel teams, compiler teams, runtime teams, hardware architecture experts, and machine learning model researchers during the qualification process. You also could contribute to the new ML/AI technologies. What you will bring: Bachelor's or master's degree in Computer Science, Electrical Engineering, or related degree with 7+ Years of Industry Experience Good knowledge of large language models and machine learning fundamentals Good knowledge of Python programming, Python Data Structures, and Linux environment Self-motivated team player Desired: Prior startup, small team experience Experience with Machine Learning models and their layers Experience with Deep Learning, Tensorflow, Transformers, and PyTorch testing Knowledge of Gitlab CI/CD infrastructure Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.