802 Neural Networks Jobs - Page 12

[{"Salary":"12 LPA" , "Remote_Job":false , "Posting_Title":"Machine Learning Engineer" , "Is_Locked":false , "City":"Hyderabad" , "Industry":"IT Services","Job_Description":" Position :Machine Learning Engineer Experience :3+ Years Location : Hyderabad Woking Days -5 Skills: Machine learning, ComputerVision and Natural Language Processing , convolutional neural networks, Python Requirement/Responsibilities - 1. Design, train, and optimize different machine learningmodels. 2. Understand and finetune vision and text models. 3. Implement SOTA techniques from research papers intoproduction ready 4. Hands on experience on transformers and CNNS 5. Efficient, and scalable python coding skills 6. Cross functional collaboration Skills and Qualifications - 1. 3+ years of hands-on experience in training models (CV& NLP) 2. Strong python skills 3. Ability to read and implement research papers quickly. 4.

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we'deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 3+ years experience building ML-powered search or recommendation systems. Strong programming skills in Python, Java, SpringBoot or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR. Hands-on experience working on AI search (text, vector and hybrid search)

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Develop modular, reusable components for internal AI projects , ensuring scalability and long-term usability. Collaborate with the team to manage tasks within a structured Agile framework , while ensuring priority tasks are addressed efficiently during each sprint. Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks. Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking. Take ownership of tasks while working within an established structure and manage changing priorities when necessary. Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks. Required education Bachelor's Degree Required technical and professional expertise 2+ years of relevant industry experience Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects). Demonstrated innovation and creativity in AI-related projects or any technical domain. Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.). Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes. Strong communication skills and an ability to work well with different teams to ensure project success and progress. Preferred technical and professional experience Familiarity with AI frameworks and libraries (such as TensorFlow , PyTorch , scikit-learn , etc.). Experience with version control systems like Git . Experience in Agile development processes, task management, and team communication.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries Learn more about what we do Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers Responsibilities Contribute meaningfully to several strategic initiatives in FY25 and FY26 within the Foundry Kits Squad: Expand the current AI/ML-based EM Certification framework to support a wider range of passive components and simulation parameters, enabling broader automation across EM workflows This directly supports faster time-to-market for foundry EM enablement, a critical driver for growth in the RF and microwave subsegment Seamlessly integrate AI/ML pipeline with the existing EM automation infrastructure, which is already delivering a 50% time reduction Work is expected to push this further to a total 75% reduction, significantly accelerating EM certification cycles for RF/microwave foundry enablement Apply AI/ML expertise to upcoming initiatives such as PCell automation and other future projects, leveraging his hands-on experience with neural networks, Bayesian optimization, and intelligent design space exploration Strengthen the team s automation capabilities by building scalable, Python-driven simulation frameworks and enhancing tool interoperability through structured, configuration-based workflows Qualifications B Tech in ECE from Tier I engg college with coding experience in C++, Python, C Experience in Implementation of AI/ ML algos & models such as ANN and Bayesian optimization models Automation projects execution experience Electro magnetic simulation using ADS or similar tools Process Kits Design Careers Privacy StatementKeysight is an Equal Opportunity Employer Contribute meaningfully to several strategic initiatives in FY25 and FY26 within the Foundry Kits Squad: Expand the current AI/ML-based EM Certification framework to support a wider range of passive components and simulation parameters, enabling broader automation across EM workflows This directly supports faster time-to-market for foundry EM enablement, a critical driver for growth in the RF and microwave subsegment Seamlessly integrate AI/ML pipeline with the existing EM automation infrastructure, which is already delivering a 50% time reduction Work is expected to push this further to a total 75% reduction, significantly accelerating EM certification cycles for RF/microwave foundry enablement Apply AI/ML expertise to upcoming initiatives such as PCell automation and other future projects, leveraging his hands-on experience with neural networks, Bayesian optimization, and intelligent design space exploration Strengthen the team s automation capabilities by building scalable, Python-driven simulation frameworks and enhancing tool interoperability through structured, configuration-based workflows

We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our AI-powered pricing systems. As a SDE, Youll will develop next generation pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers. Joining the Digital Pricing team means taking on a role where technical expertise meets real-world impact. From the outset, you ll work with advanced AI technologies to develop solutions that power pricing across Amazon s extensive digital products. This team is not only building innovative pricing systems but also redefining how millions of customers experience Amazon s digital products. The technical challenges youll tackle are unique. Youll work with advanced AWS infrastructure, design distributed systems at massive scale, and implement AI solutions that directly impact Amazons digital business. Whether youre optimising model performance, or developing new pricing systems, youll have the resources and support to succeed. By joining Digital Pricing, youre not just changing teams youre accelerating your career while solving complex challenges that matter. Were committed to helping you become the best engineer you can be, all while working on systems that shape Amazons future. A day in the life We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve. Your growth matters to us. You will have a structured path to achieve your career aspirations, backed by dedicated mentorship from senior technical leaders. Youll have access to specialised AI/ML training programs, conference opportunities, and innovation time to explore new technologies. Our engineers regularly present their innovations, and work to senior leadership. Our teams culture emphasises both individual growth and collective success. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Experience with cloud computing platforms (preferably AWS) Solid understanding of data structures, algorithms, and software design principles Understanding of AI model optimisation techniques Experience with large language models (LLMs) Familiarity with machine learning frameworks (PyTorch, TensorFlow) Experience with AI/ML deployment platforms (Amazon Q)

This is a full-time on-site role for a Senior Artificial Intelligence Consultant in Hyderabad. In this role, you will be responsible for leading AI projects, developing AI strategies, implementing advanced technologies, and collaborating with cross-functional teams to drive digital transformation. Qualifications Strong expertise in agentic AI frameworks such as CrewAI, AutoGPT, LangChain Agents, BabyAGI, or similar. Lead end-to-end development of generative AI models (e.g., GPT, T5, BART, Stable Diffusion, DALL E). Hands-on experience with Hugging Face Transformers, Diffusers, or equivalent libraries. Strong knowledge of neural networks (e.g., Transformers) and machine learning algorithms Solid understanding of NLP, computer vision, or multi-modal AI techniques. Familiarity with MLOps tooling (MLflow, Kubeflow, TFX) and CI/CD pipelines. Experience with real-time processing and optimization techniques for large-scale applications Strong leadership, communication, and project management skills Ability to develop and execute AI strategies Previous experience in AI solutions development in diverse industries Ability to manage multiple projects simultaneously while meeting deadlines. Master's degree in AI, Data Science, or related field

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

What you get to do in this role Design and build scalable search ranking, indexing and AI-based systems. Integrate user behavior signals, session data, and content metadata to optimize relevance. Strong analytical and quantitative problem-solving ability Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Drive & shape architectural decisions that align with long-term scalability and maintainability. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Design aspects of real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Help shape aspect of MLOps and model governance To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

You will work in agile teams through good collaboration with our colleagues in Technology development all around the world. You will lead the team and be responsible for understanding customer usage and performance of our products as well as understand needs of our internal data consumers for providing solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance. You will extract insights, make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavour in moving towards Data Driven Powertrain Development. You will work on all aspects of Data by combining techniques in Data Engineering, Data Analytics and Data Science. You will have the opportunity to analyse and solve real world problems with state-of-the-art techniques like Advanced Analytics, Natural Language Processing (NLP), Machine Learning, and Generative AI on the base of strong statistical knowledge. You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers. We have an agile way of working, where each team plan their activities in sprints and deliver solutions together as a team. We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed. The tasks can be either part of a larger project or short tasks to improve products currently in production. You will get the opportunity to interact with highly committed colleagues from different cultures. You will keep strong communication with project managers, software developers, calibration, simulation and test engineers. We hope you will learn as much from us as we will from you. Who are you We believe that to be successful in this position, you are a team player, have strong experience in Statistics, Data analytics, machine learning, generative AI and a will to deliver with effective communication techniques (Data story telling). You have a Passion and have demonstrated success in Leading a Team competent in solving real world problems with Data. You must have a proven experience in Data modelling - Regression, Clustering, Neural Networks, Time series etc. and should have used them in solving real-life challenges (prediction, automation, real time optimization etc). You have a strong competence in Presenting Insights gained from Data Analytics through Visualization tools like Power BI. You have a willingness to learn and take more responsibility with can-do attitude. You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data. If you are a Master s Degree holder in Mechanical / Automobile / Electronics / Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering (or Automotive Industry) with proven skills in handling and analysing large set of data to make meaningful interpretations and if you believe that you can work smoothly with Python ( including libraries like NumPy, SciPy, Pandas, TensorFlow) , R, SQL, Git, Azure, Hadoop then you can be a good fit into this role. You also have strong experience in applying machine learning methods like supervised, unsupervised and reinforcement learning. Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus. A passion for turning data into knowledge with great visualizations and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be an icing on the cake

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: As a Senior Data Scientist for Walmart Global Tech, you ll have the opportunity to Design, develop, and deploy AI/ML, NLP, LLM models into production environments with a focus on reliability and scalability Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry. Spearhead collaborations with other senior team members and stakeholders, leveraging your data science expertise to drive strategic decision-making and optimize business operations Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What youll bring: Qualifications PhD with >3 years of relevant experience / 4-year bachelor s degree with > 8 years of experience / Master s degree with > 6 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline. Demonstrated history of strong hands-on experience in AI/ML modelling Prior Experience in building Vision-based models Proven records of scientific publications or intellectual property generation Prior Experience in programming skills across data science, statistical analysis, big data and ML stack Strong communication skills with inclination to high ownership and commitment Proven track record of delivering high-impact AI/ML solutions to Production Mandatory Skills: Machine Learning, NLP, Computer Vision , Python, R Additional Qualifications: Good to have experience in areas such as Graph Neural Networks, LLM Optimization About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

Job Description **Job Title: AI/ML Engineer (Agentic AI, LLMs, Deep Learning) ** **Experience Level: ** 3-4 Years **Job Type: ** Full-Time **About the Role: ** We are seeking a skilled and motivated AI/ML Engineer to join our team in building intelligent, agentic systems for the casino gaming domain. The ideal candidate will have hands-on experience with agent frameworks particularly LangGraph and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering. **Responsibilities: ** Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks Collaborate on the development and fine-tuning of both open-source and proprietary LLMs Develop robust RESTful APIs using frameworks such as FastAPI or Flask to support AI model deployment and integration Conduct experimentation and evaluation of foundational models and neural network architectures Maintain and enhance model performance through data curation, retraining, and optimization Contribute to technical design discussions and participate in architecture reviews Stay updated with emerging research and advancements in AI/ML, especially in reinforcement learning, agent design, and LLM systems **Requirements: ** 3-4 years of professional experience in machine learning and applied AI Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Hands-on experience with agentic AI frameworks (LangGraph preferred) Strong understanding of foundational models, neural networks, and deep learning principles Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude) Solid experience in building and maintaining RESTful APIs using FastAPI or Flask Bachelor s degree in computer science, Engineering, or a related field (master s preferred) **Nice to Have: ** Experience in the gaming or casino domain Familiarity with MLOps tools and model deployment pipelines

Primary Skills: Semantic Kernel and Azure AI AgentExp min 9 month of real project experience Semantic Kernel experiencefocuses on building intelligent agents and applications by leveraging the Semantic Kernel SDK, which is an open-source framework from Microsoft that allows for the integration of AI models and services. Secondary Skills: This role involves designing and developing AI solutions, including copilots, and integrating them with enterprise data and systems using tools like Azure OpenAI, Azure AI Search

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns At Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!)

Expected Notice Period: 30 Days Shift: (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), PyTorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About the job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Masters or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 2:30 PM IST to 11:30 PM IST How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.