3120 Artificial Intelligence Jobs - Page 24

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

MTS SOFTWARE SYSTEM DESIGN ENGINEER THE ROLE: The right engineer will drive the success of power IP (Intellectual Property) and features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This is a high-visibility and widely multi-functional role, spanning pre-silicon architecture to post-silicon implementation & product delivery. THE PERSON: Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you a results-oriented and encouraging environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers. KEY RESPONSIBILITIES: Own the multi-functional Power Feature Enablement team for new AMD APU (Accelerated Processing Unit) products Work across engineering teams and subject areas spanning silicon, firmware, hardware, and software Coordinate debug of issues and drive them to closure Pull together meetings, set up clear agendas and follow up on action items Deliver regular progress updates toward program goals Make tough decisions such as priority calls based on partial or incomplete data Proactively drive continuous improvement for post-silicon power and performance activities Must be a self-starter, and able to independently drive tasks to completion PREFERRED EXPERIENCE: Product development or systems engineering background with hardware platforms and their software & firmware ecosystems Excellent verbal communication and written, presentation skills Excellent interpersonal, organizational, analytical, planning, and technical leadership skills Proven record of accomplishment in delivering large multi-functional product solutions Experience working in a fast-paced matrixed technical organization and multi-site environment Product or program management ACADEMIC CREDENTIALS: Bachelor s or Masters degree in Computer or Electrical Engineering or equivalent Benefits offered are described: AMD benefits at a glance .

As a Software Engineer III at JPMorgan Chase within the AWM (Global Liquidity Platform), you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Candidate should be well versed in Java and Spring. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

We are looking for an innovative Generative AI Engineer to design, build, and deploy LLM-based applications, chatbots, and AI-driven workflows. You will work on retrieval-augmented generation (RAG) systems, fine-tune AI models,

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert - Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", BigData and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications: A Ph.D. (or a Masters degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications: A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, ...

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal Training or certification on Java, J2EE, concepts, with 3+ years of applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Job Title Data Scientist (AI for Computer Vision) Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. Youre the right fit if: Bachelor s or master s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

As a member of the AECG Custom ASIC Group, you will help bring to life cutting-edge designs. As a member of the physical integration and verification team , you will work closely with the physical design implementation, IP teams and fab contacts to achieve quality tapeout and first pass silicon success. THE PERSON: A successful candidate will work on full chip SoC physical integration, verification and tapeout with physical design engineers. The candidate is expected to be detail-oriented, possessing good communication and problem-solving skills. KEY RESPONSIBLITIES: Drive Full chip physical integration and verification (DRC/LVS, ERC, DFM checks) Work with fab and fab contacts for all the tapeout activities leading to final tapeout. Work closely with physical design implementation and signoff team to achieve faster TAT Work closely with CAD team to come up with new flows and methodologies in the physical verification domain PREFERRED SKILLSET: Experience : More that 12 years of relevant experience. Driven multiple tapeouts across different technology nodes Sound knowledge of full chip physical integration and verification flows Hands on experience on industry standard tools such as Calibre and ICV Sound understanding for DRC/LVS decks. Should be able to make updates as required. Good in scripting languages such as Tcl and Perl Self driven, positive attitude and team worker ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering

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...

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyper parameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas. We need only Data Scientist Candidates. For More Information Kindly call on 7701968943(Sanchit) Share your updated cv on sanchit@mounttalent.com

What You'll Do We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, promoting a culture of collaboration and Engineering expertise. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI. Experience with design patterns and data structures. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana.

Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms.

Education Qualification : Bachelors or master's degree in engineering (preferably computer science) (B.E., B.Tech, MCA) Experience: 610 years of experience designing AI/ML solutions for real[1]world applications . Expertise in designing AI/machine learning models for production environments , frameworks across CV, NN, LLMs, Robotics. 2. Strong understanding of AI algorithms and optimization techniques 3. Model Development: Experience training and fine-tuning ML/DL models using frameworks like TensorFlow or PyTorch. 4. Programming Skills: Proficiency in Python; familiarity with C++/CUDA is a plus for performance optimization. 5. MLOps Expertise: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes), and model versioning tools. 6. Data Handling: Skilled at working with large datasets using databases like SQL or NoSQL systems. Data wrangling: Experience working with large datasets, databases and storage formats/compression techniques

We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

Introduction: Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company At Poppulo, we re working on what s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs. We know there s no such thing as a perfect" candidate - we re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. The Opportunity We are seeking an accomplished Senior Software Architect to join our Digital Signage Cloud Team. This strategic role is pivotal in guiding the architectural vision and technical roadmap for our global cloud-based digital signage platform. You will drive high-level architectural design, scalability, security, and performance optimizations, working closely with stakeholders across engineering, product management, and leadership. Practical experience or strong enthusiasm for Artificial Intelligence particularly Large Language Models (LLMs), generative AI, and agentic coding tools is highly desirable. Key Responsibilities: Establish and uphold architectural standards that ensure scalability, maintainability, security, and performance for our digital signage cloud platform . Own the platform architecture roadmap , ensuring it aligns with strategic business goals and evolving product needs. Design and evolve cloud-native architectures leveraging AWS serverless services such as Lambda, API Gateway, DynamoDB, Cognito, and Step Functions, with a strong emphasis on scalability, cost-efficiency, and resilience. Partner with engineering teams to guide solution design, resolve complex technical challenges, and ensure alignment with architectural direction. Collaborate cross-functionally with product managers, designers, and business stakeholders to translate requirements into robust, future-proof technical solutions. Evaluate and recommend emerging technologies , fostering a culture of innovation by piloting and integrating cutting-edge tools and frameworks into the platform. Mentor and coach engineers across teams, building architectural awareness, elevating technical skills, and driving adoption of best practices. Skill Experience Requirements: Bachelor s degree in Computer Science or related discipline; Masters preferred. 9+ years of software development and architecture experience. Proven track record architecting large-scale cloud-native applications and solutions. Practical experience or strong enthusiasm for AI integration and generative technologies. Expert-level understanding of AWS Cloud architecture , especially in serverless ecosystems (Lambda, API Gateway, DynamoDB, Cognito, Step Functions, S3, SNS/SQS). Strong foundation in modern web development , including TypeScript, Node.js, React , and event-driven architecture. Demonstrated experience designing and operating multi-tenant SaaS platforms with a focus on data isolation, RBAC, and observability. Proficiency in authentication/authorization protocols , including OAuth2, OpenID Connect , and integration with identity providers like Okta and AWS Cognito . Hands-on experience with AI and ML frameworks , including Generative AI, LLMs , and tools like Cursor, Windsurf , or equivalents. Strong understanding of DevOps practices , CI/CD tooling (e.g., GitHub Actions, CodePipeline), and infrastructure observability (CloudWatch, Prometheus, Grafana, ELK stack). Exceptional problem-solving skills, system thinking, and ability to articulate complex technical ideas to both technical and non-technical stakeholders. Who We Are We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that s on the move. We live the Poppulo values each day, as they are key to everything we do. Bring Your Best Self We show up authentically, are self-aware and always strive to be better. See it. Own it. Solve it. We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. Together We re Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. Thats what makes us a team. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a Machine Learning NLP Engineer to drive the development of large language models (LLMs), deep learning architectures, and speech processing systems. This role is critical for AI-driven healthcare solutions while ensuring high performance, accuracy, and compliance with healthcare standards. Responsibilities: Machine Learning Deep Learning Development Design and implement machine learning algorithms for healthcare AI applications. Build and optimize deep learning models to enhance AI-driven decision-making processes. LLM Fine-Tuning Training Develop and fine-tune and train large and small language models to meet domain-specific requirements. Design robust data preparation and training pipelines for efficient model performance. LLM Architecture Expertise Work with state-of-the-art LLM architectures such as Transformers, GPT models, LLaMA, and others Research and implement novel enhancements to existing language models for better contextual understanding. Speech NLP Project Execution Implement speech-to-text and text-to-speech models for healthcare applications. Develop NLP solutions for intent prediction, sentiment analysis, and medical language translation. Programming Development Write and maintain high-performance Python code for ML/NLP applications. Utilize frameworks like PyTorch and TensorFlow to train and deploy AI models. Additional Contributions (Optional but Preferred) Apply advanced prompt engineering techniques for optimizing LLM interactions. Deploy ML models on cloud platforms (AWS, GCP, Azure) for scalability. Implement MLOps best practices, including CI/CD pipelines for ML and model monitoring. Skills and Experience: Machine Learning Deep Learning: Strong experience in designing, training, and deploying ML/DL models. LLM Expertise: Hands-on experience in fine-tuning and optimizing LLMs. NLP Speech Processing: Experience in developing NLP solutions and speech models. Programming: Advanced Python skills with proficiency in PyTorch and TensorFlow. LLM Architecture: Deep Knowledge of modern transformer-based models. MLOps Cloud: Demonstrated experience with cloud deployment, CI/CD for ML, and model monitoring. Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience in ML, NLP, or AI-driven model development. Proven track record of deploying LLM-based solutions in real-world applications. Experience working in healthcare AI, health tech startups, or regulated industries is a plus. Relevant certifications preferred (e.g., Google Professional ML Engineer, AWS Certified Machine Learning - Specialty). Candidates located in Bangalore is a plus Candidates from top universities is a plus

Key Responsibilities: Demonstrates proficiency in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Expected to deepen this expertise further. Translates data-related client requirements into project tasks and deliverables, with an understanding of complex problems and solutions. Drives data solutions within projects, with a focus on innovation and value creation. Provides technical guidance and support to team members on data science methodologies, tools, and algorithms. Acts as a point of escalation for data science-related issues within the project, working towards efficient resolution. Reviews and ensures adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Balances data science workload within the team, considering the skills and capacities of team members. Champions learning initiatives for upskilling and cross-skilling in data science within the team, including knowledge sharing sessions and promoting best practices. Contributes to the development of new data science solution offerings, leveraging insights from project work. Encourages team members to build technical expertise and innovate within the realm of data science. Begins to build and nurture client relationships with a focus on identifying opportunities to add value through data science. Starts to develop proficiency in at least one of data engineering, MLOps, product engineering, and cloud services, and applies this knowledge within projects. Begins to contribute to the organizations thought leadership in data science, such as writing articles, giving presentations, or contributing to internal forums. Actively identifies and communicates opportunities for the organization to enhance its data science capabilities, including new tools, methodologies, or service offerings. Keeps an eye on industry trends in data science to ensure personal growth and the competitive advantage of the organization

Key responsibilities include: Leading a team of Business analysts & Product owners in delivering data transformation projects Understand needs of multiple stakeholders from data operations team, technology & product in defining the final solution Lead discussions with all stakeholders including tracking of project plan, budget, project health Define roadmap for execution Managing stakeholders from diverse teams Build solutions that help transform the data operations process through integration of AI/ML as well as Gen AI Participate in planning sessions and other related meetings and sessions with internal business users as well as external customers; take the lead of scrum teams & providing vision and direction to the Agile development team and stakeholders throughout the project and create requirements Review, plan and prioritize product feature backlog and development for the product Assess value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value Provide backlog management, iteration planning, and elaboration of the user stories Lead the planning product release plans and set the expectation for delivery of new functionalities Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals Candidate Profile Experience as a product owner in AI led transformation projects Strong understanding of company financials data Master’s in Finance In-depth knowledge of Agile process and principles Technical aptitude: past experience in business analysis, data management or analytics highly preferred Intermediate SQL skills and advanced documentation skills. Excellent communication, presentation and leadership skills Excellent organizational and time management skills Sharp analytical and problem-solving skills Creative thinker with a vision Work experience Work experience as a product owner/business analyst in BFSI sector either in IT Services Company or Product Based Company working with digital transformation journey. Experience in leading ML/AI driven projects Understanding and experience of Product Development Life Cycle, Product backlog and experience of working in an Agile development environment Proven business analysis skills and strong understanding of system architecture with experience in BFSI risk regulatory domain solution is a plus Excellent written and verbal communication, including technical writing skills The ability to conduct cost/benefit analysis, drive key metrics in project delivery

Total Number of Openings 1 About the position: The Senior Subsea Surveyor is a team member of the Subsea, Civil, and Marine Engineering team within Chevron s ENGINE Center and provides deep technical expertise in land & hydrographic survey & positioning principles, data collection, processing and quality control. This role requires knowledge in applying geospatial processing and visualization packages such as: ESRI Geographic Information Systems (GIS), EIVA, AutoCAD, Cyclone, etc. to derive valuable insight for our business. The successful candidate will need to have a strong core knowledge on the application of coordinate reference systems, transformations, and vertical datums. The successful candidate will be responsible for advising Upstream Major Capital Projects (from concept development to commissioning), Base Business Subsea Operations, Downstream Manufacturing Facilities development & maintenance operations across multiple international locations. Key Responsibilities: Provide short-term survey & positioning support to Chevron s Major Capital Projects and assets globally to ensure technical excellence and operational efficiency Review of survey procedures, site representation, acoustic frequency management planning, subsea metrology, offshore installation, subsea intervention, and inspection of subsea facilities and pipelines Leverage data and software engineering techniques to create business value through data accessibility, data processing, data management and application of GIS Understanding the business needs of the corporation to support work processes and strategic business objectives Initiate and lead research and development programs to deliver new technologies to the business Establishes & maintains working relationships with key stakeholders within the ENGINE, Chevron Technology Center, Capital Projects, and Business Units across the enterprise. Collaborate with industry peers on developing standards, data models and best practice to drive efficiency Required Qualifications: Bachelors in Surveying, Geomatics, Geodetic Science or associated discipline Have core knowledge of geodesy and coordinate projection mathematics and transformation and basic tidal model application Be familiar with current land & subsea survey and positioning equipment, operational procedures and data processing techniques Knowledge of applicable industry and regulatory codes and standards Preferred Qualifications: A minimum of 10-15 years experience in land & offshore positioning, geophysical survey, terrestrial laser scanning and photogrammetric surveys, aerial LiDAR surveys, survey control networks and construction support Demonstrated success working on multi-discipline teams as a technical contributor Experience applying agile project management principles Familiarity with the development and application of Generative Artificial Intelligence (GENAI) tools & platforms is highly regarded Experience working with diverse geospatial 3D data types e.g. Digital Terrain Models (DTM), LiDAR point clouds, orthomosaics, Business Information Models (BIM), etc Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. Chevron participates in E-Verify in certain locations as required by law.

Total Number of Openings 1 Job Description Summary: Delivers High Performance Computing (HPC) application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML). About Chevron IT The Information Technology function empowers all of Chevron to harness the benefits of information and digital technologies to drive competitive advantage. Our thirteen IT digital platforms maximize value creation by empowering teams to accelerate innovation, capitalize on scale, drive efficiency and reduce duplication, and speed access to quality data to unlock opportunities across business units and functions. Organized around business capabilities and digital products, the digital platforms span Chevron s global integrated oil and gas value chain. Our Business Units partner with the enterprise digital platforms to drive effective engagement between IT and all of Chevron with a clear focus on efficiently delivering better, faster results. Our IT Engineering personnel chapters offer a flexible staffing and assignment model that allows us to bring the right skills when and where they are needed -- and ensure we are focusing on efforts that drive the highest business priorities. The Global Capability Center (GCC) IT department contains platform teams who are members of the four Petro technical digital platforms and IT Foundation Platform including Surface, Subsurface, Wells (Drilling), and Health, Safety, Environment (HSE), and IT Foundation Digital (ITFP). These teams operate in a matrix environment with priorities determined by global Product Owners and Product Managers. About This Position: The Global Capability Center (GCC) Software Engineer - HPC is a key technical engineer accountable for delivery and support of products and services to Chevron workforce. The product team is part of the HPC Product line within the IT Foundation Digital Platform. This Product line is responsible for digital delivery and support of HPC products and services to the Chevron Enterprise. Key responsibilities: The Role: As a Software Engineer - HPC you will be responsible for providing application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML). The successful candidate will partner with peers in the HPC Product Line, the IT R&D portfolio in the Innovation & Commercialization group as well as individual research & development projects in functions that utilize HPC capabilities (geophysics, reservoir engineering, downstream technology & services, and others). This position is accountable for software development to deliver HPC solutions that implement novel, proprietary algorithms and workflows as well as the analysis and performance engineering of existing workflows and applications. The successful candidate is expected to define and lead software development projects, take ownership of HPC software products and projects and promote and consult on the use of best practices and tools for HPC software development. Responsibilities Analysis, development and integration of codes that implement scientific/technical algorithms using appropriate HPC programming techniques, tools and languages including CPU/GPU, MPI, OpenMP, CUDA, and similar on HPC environment such as cluster compute systems. Maintain a portfolio of relevant HPC software tools and lead developers in various domain sciences in the appropriate use of these tools to build and run HPC applications. Advise users, other developers and HPC infrastructure SMEs on the correct and efficient execution of HPC codes at large scale and high performance. Collaboration with other groups, functions and platforms across Chevron on the adoption of common technologies and concepts (cloud computing, general software engineering, HPC infrastructure). Identification of unmet needs for capabilities in existing or emerging application areas of HPC. Performance engineering, cloud optimizations, and modernization of existing code bases. Porting of existing CPU-based algorithms for GPUs. Required Qualifications: At least 5 years' experience in developing codes for compute accelerators or other emerging hardware technologies. * 5 - 10 years of experience Experience with HPC system infrastructure (e.g. Storage, Networking, infrastructure software) Developer-level experience with Linux OS, particularly in HPC environments Familiarity with Data Science and Machine Learning concepts and technologies (CNNs, pyTorch, Tensorflow) Experience with cloud computing environments (esp. Microsoft Azure) Bachelor's degree in Computer Science, Information Systems, or comparable field Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. Chevron participates in E-Verify in certain locations as required by law.

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Overview PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomeswithout managing the underlying AI platforms. Responsibilities AI Transformation Strategy & Road mapping Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases. Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda. Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap. Solution Design & Cross-Functional Orchestration Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo. Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing & R&D. Architect and design future AI solutions leveraging agentic frameworks. Collaborate with engineering teams to provide the necessary features for building. Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture. Leadership, Influence, and Governance Act as the face of Generative AI solutioning for senior executives and transformation leaders. Drive alignment across global and regional teams for solution design, prioritization, and scale-up. Provide technical leadership and mentorship to the AI engineering team. Stay up to date with the latest advancements in AI and related technologies. Drive innovation and continuous improvement in AI platform development. Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity. Qualifications 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs. Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting). Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal. Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation. Proven success in change management, stakeholder engagement, and global rollout of strategic programs. Excellent communication and influences.

Overview Provide data science / analytics support for the Perfect Store group who works with AMESA Sectors, a part of the broader Global Capability Center in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by building Retailer Value Offer and Shopper Value offer, aligning data, and performing advance analytics approaches for PepsiCo to drive actionable insights at Business Unit, store level. Key responsibilities will be to build and manage advance analytics-deep dives in a cloud environment, manage data and prepare data to be used for advanced analytics, artificial intelligence, machine learning, and deep learning projects. Responsibilities Support Perfect Store (Demand Accelerator) team with delivery of Retail Value Offer, Shopper Value Offer framework for AMESA sector Work within cloud environment (e.g., Microsoft Azure) Build and maintain codes for use in advanced analytics, artificial intelligence, and machine learning projects Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build deep dive analysis reports in cloud environment (using Pyspark and Python) to support BU Ask Develop, maintain, and apply statistical techniques to business questions - including Distribution, Outliers, visualizations etc. Support relationships with the key end-user stakeholders with Business Units-AMESA Own flawless execution AND Quality Check of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats while updating existing project management tools Flag and monitor any business risks related to delivering the requested outputs Qualifications An experienced analytics profession with 4 years+ experience EducationB.Tech or any bachelors degree. Masters are optional Proficient with Python, SQL, Excel and PowerBI Plus, to have knowledge on Machine Learning algorithms Good to have Retail experience Strong collaboratorInterested and motivated by working with others. Owns the full responsibility of deliverables, quality check thoroughly, look for and work on improvements in the process Actively creates and participates in opportunities to co-create solutions across markets. Willing and able to embrace Responsive Ways of Working

Responsibilities : The responsibilities include teaching a requisite number of classes, providing guidance and supervision to graduate students, participating in departmental meetings, and providing academic support to Professors and other faculty members. You should be able to pace your lessons. Assisting with various departmental duties and providing academic support to Professors and other staff. Teaching and supervising undergraduate and graduate students. Providing demonstrations and supervising experiments and investigations. Answering questions in class or via email or telephone. Providing Professors and Department Heads with feedback on student progress. Attending faculty and departmental meetings and voicing concerns or providing suggestions for improvement.