9814 Tensorflow Jobs - Page 40

Are you a talented Data Scientist (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer, LLM Engineer) either, Looking for your next big challenge working remotely OR Employed , but open to offers from elite US companies to work remotely? Submit your resume to our GlobalPros.ai’s, an exclusive community of the world’s top pre-vetted developers dedicated to precisely matching you with our US employers. Globlpros.ai is followed internationally by over 13,000 employers, agencies and the world’s top developers. We are currently searching for a full-time AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer) to work remotely for our US employer clients. What We Offer: Competitive Compensation . Compensation is negotiable and commensurate with your experience and expertise. Pre-vetting so you’re 2x more likely to be hired . Recent studies by Indeed and LinkedIn show pre-vetted candidates like you are twice as likely to be hired. Shortlist competitive advantage . Our machine learning technology matches you precisely to job requirements and because your pre-vetted ensures you're shortlisted ahead of other candidates. Personalized career support . Free one-on-one career counseling and interview prep to help guarantee you succeed. Anonymity . If you’re employed but open to offers, your profile is anonymous and is not available on our website or otherwise online. When matched with our clients, your profile is anonymous until you agree to be interviewed. So there’s no risk in submitting your resume now. We're Looking For: Experience . Must have at least 3 years of experience . Role . AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer) Skills . TensorFlow, PyTorch, Scikit-learn Python, Java, C++, R, AWS, Azure, GCP, (SQL, NoSQL, Hadoop, Spark, Docker, Kubernetes, AWS Redshift, Google BigQuery. Willing to work full-time . (40 hours per week) . Available for an hour of assessment testing . Being deeply-vetted with a data enhanced resume and matched precisely by our machine learning algorithms substantially increases the probability of being hired quickly, at higher compensation levels over unvetted candidates. It's your substantial competitive advantage in a crowded job market.

Title - ML Developer Language - English Location - Pune/ Hyderabad Duration - Fulltime permanent role Workplace type - Work from office Experience -5+ Years Machine Learning (ML) Developer JD: Onboarding and Know Your Customer (OBKYC) Value Stream The Onboarding and Know Your Customer (OBKYC) Enabler Value Stream has been established to deliver common, group-wide onboarding and KYC capabilities and services. It brings together business, operations and technology colleagues to co-design and build solutions to deliver better products and services for our customers. This value stream is intended to deliver towards our Future State Architecture (FSA) and the Digital Acceleration Programme - enabling a consistent approach in how we deliver change across the bank to facilitate improving the experience of our customers, the resilience of our infrastructure, and allow us to embrace innovative technologies. Our global businesses, operations and technology teams work closely together to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply, and securely. OBKYC scope incorporates onboarding products, platforms, and a delivery capability particularly suited to client-aligned agile delivery at pace. The products provide our CIB and Wealth & Private Banking client base with onboarding capabilities to enable a best-in-class staff and client experience. Solutions are tailored to suit the client’s needs, from Treasury depts of large multi-nationals to sole traders. We are investing heavily across these domains with a strategic focus on increasing adoption of AI capabilities through our flagship AI journeys, day-to-day engineering and overall ways of working. To accelerate achieving our vision , we are seeking an experienced AI Engineer to join the Client Services and OBKYC Technology group. The role will be Poland based but will work with our teams globally. Machine Leaning Developer Principal responsibilities: · Building production-ready models to drive content extraction and classification from images and text-based sources. · Working closely with business teams to understand requirements and iteratively design and develop solutions. · Collaborative with product managers, technical teams. · Create, test and iterate new and existing products and features. · Designing and building Python/ML/OCR-based components. · Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required experience: · MUST HAVE Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. · Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. · Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. · Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Nice to Have: · Experience using PostgreSQL for data storage and management. · Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps · Experience delivering in teams releasing at a high cadence to production. If interested, kindly share your updated CV with arulkiruthiga@sloka.eu (or) arul.k@kamkon.in

Job Title: AI/ML Engineer Experience: 3+ Years Location: Noida (Hybrid – 2 days/week) We are hiring an experienced AI/ML Engineer to build intelligent AI agents and chatbots using structured and unstructured data. The ideal candidate should have strong skills in Python , Machine Learning , Deep Learning , and NLP , along with experience using frameworks like TensorFlow , PyTorch , and Scikit-learn . Key Skills: Python, Java/C++/R (optional) ML/DL algorithms (regression, neural nets, etc.) NLP (text classification, sentiment analysis) Data analysis & visualization (Pandas, NumPy) AI frameworks: TensorFlow, Keras, PyTorch, Scikit-learn Nice to Have: LLMs, Vector DBs, RAG pipelines Model deployment, MLOps

Company Description At Smart Tech, we develop AI-driven solutions to tackle the world's most pressing data and AI challenges. We invite the brightest minds to collaborate and build real-world solutions aimed at improving the lives of millions and creating a better, more sustainable world. Role Description This is a remote role for an AI Engineering Intern. The intern will be responsible for assisting in the development and implementation of AI algorithms, conducting data analysis, writing and testing code, and collaborating with team members on various projects. They will also participate in brainstorming sessions and contribute to problem-solving efforts. Qualifications Proficiency in programming languages such as Python, Java, and C++ Experience with generative AI, Deep Learning and Machine Learning and frameworks like TensorFlow or PyTorch Strong data analysis and statistical skills Ability to work with large datasets and perform data preprocessing Good communication skills and ability to collaborate in a remote team environment Strong Knowledge of AI concepts and principles Enthusiasm for learning and applying new technologies Currently pursuing a Master's degree in Computer Science, Data Science, AI Engineering, or a related field

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understa

Gen AI Technical Architect_Full-Time_Hyderabad (Work from office) Job Title: Gen AI Technical Architect Job Type: Full-Time Location: Hyderabad (Work from office) Experience: 12-16 Years Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet Job Description: Gen AI Technical Architect Generative AI Architect will play a pivotal role in designing, developing, and implementing advanced generative AI solutions that drive significant business impact for our clients. This role offers the exciting opportunity to work at the forefront of AI innovation, leveraging the power of AI. Role Overview: The Generative AI Architect will be responsible for the end-to-end architecture, design, and deployment of scalable and robust generative AI systems. This includes conceptualizing solutions, selecting appropriate models and frameworks, overseeing development, and ensuring the successful integration of generative AI capabilities into existing and new platforms. You will work closely with business stakeholders to translate complex requirements into high-performance AI solutions. Key Responsibilities: Architect and Design Generative AI Solutions : Lead the architectural design of generative AI systems, including model selection (LLMs), RAG and fine-tuning approaches. Azure AI Expertise : Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Python Development : Write clean, efficient, and maintainable Python code for data processing, automation, and API integrations. Model Optimization and Performance : Optimize generative AI models for performance, scalability, and cost-efficiency. Data Strategy: Design data architectures and pipelines to ingest, process, and prepare data for generative AI model training and inference, utilizing Azure data services. Integration and Deployment: Oversee the integration of generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Technical Leadership & Mentorship: Provide technical leadership and guidance to development teams, fostering best practices in AI model development, deployment, and maintenance. Research and Innovation: Stay abreast of the latest advancements in generative AI technologies, research methodologies, and industry trends. Drive proof-of-concepts (PoCs) and pilot implementations for new AI capabilities. Collaboration and Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, software engineers, and business analysts, to ensure AI solutions align with business goals and deliver tangible value. Articulate complex technical concepts to non-technical stakeholders. Required Skills and Qualifications: Minimum of 12-16 years of experience in IT, with at least 3+ years specifically focused on Gen AI architecture and development. Technical Proficiency: Deep expertise in Azure Cloud Platform and its AI services Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex). Solid understanding of large language models (LLMs), transformer architectures, diffusion models, and other generative AI techniques. Hands-on experience with prompt engineering, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, Chroma). Experience with MLOps, CI/CD, and deployment tools (Azure DevOps, GitHub, Kubernetes). Familiarity with RESTful API design and development. Architectural Principles: Strong understanding of cloud architecture, microservices architecture, and design patterns. Problem-Solving: Excellent analytical and problem-solving skills with the ability to think critically and creatively. Communication: Exceptional communication and interpersonal skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences. Team Player: Ability to work collaboratively in a fast-paced, agile environment and lead projects with multiple stakeholders. Desirable: Relevant Azure AI certifications Experience with other cloud platforms (AWS). Experience with fine-tuning LLMs for specific use cases. Contributions to open-source AI projects or publications in AI/ML.

Greeting from Leadsoc Technologies Position: AI Model Validation Engineer Strong background in machine learning fundamentals, including deep learning,large language models , and recommender systems. Strong background in validation, defect and software development life cycle Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Experience in profiling ML workloads Prior experience in executing validation plans for AI/ML compute stacks s uch as HIP, CUDA, OpenCL, OpenVINO, Strong background in python programming. Experience:3- 6 years Notice period: 0-15 days Regrads Murali

Job Information Industry Health Care Salary 0 - 3 K Date Opened 07/28/2025 Job Type Full time Work Experience 1-3 years City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560048 Job Description Job Description: AI/ML Engineer Key Responsibilities Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills Proficient in Deep Learning and Machine Learning techniques. Strong experience with TensorFlow and PyTorch. Solid background in image processing and computer vision, especially with CNN architectures. Proficiency with Docker and experience with CI/CD pipelines. Excellent programming skills in Python and experience with relevant ML libraries. Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have Experience deploying ML models on cloud platforms such as AWS and Azure. Experience with Kubernetes or orchestration frameworks. Familiarity with MLOps tools and workflows. Experience with distributed training or federated learning. Contributions to healthcare AI research or open-source projects. Education & Experience Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us? Opportunity to work on transformative AI applications in healthcare and radiology. Collaborative and mission-driven team environment. Access to advanced medical imaging datasets. Interested can apply to nanda.k@telradsol.com

About the Role: Grade Level (for internal use): 11 The Role: Foreseer AI – Lead The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications: BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315899 Posted On: 2025-07-28 Location: Hyderabad, Telangana, India

Foreseer AI- Lead Hyderabad, India; Gurgaon, India Information Technology 315899 Job Description About The Role: Grade Level (for internal use): 11 The Role: Foreseer AI – Lead The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications: BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315899 Posted On: 2025-07-28 Location: Hyderabad, Telangana, India

EQL Global AB is seeking talented AI Engineers Intern to join our remote India-based team for a 6-month unpaid internship. This role is ideal if you have completed or are completing a Master’s in AI, and want hands-on experience with large language models, prompt engineering, and financial analytics. Outstanding interns may be offered a full-time remote position after the internship with industry competitive salary and compensation. What You’ll Do • Build solution by using LLM to extract structured data from company annual and quarterly reports • Test and fine-tune LLMs (Claude, OpenAI, Llama) for finance-related tasks • Develop retrieval-augmented generation (RAG) workflows and prompt strategies • Apply web scraping and support development of financial modeling tools Eligibility & Requirements • Master’s degree (completed or ongoing) in AI/Machine Learning/Data Science • Strong proficiency in Python and core ML libraries (PyTorch, TensorFlow, etc.) • Knowledge of Claude, OpenAI, and Llama models, and prompt engineering • Experience with web scraping (BeautifulSoup, Selenium, Scrapy) • Understanding of finance fundamentals and interest in analytics/automation Nice to Have • Familiarity with vector databases (FAISS, Pinecone, Weaviate) • Experience with Docker/Kubernetes or cloud platforms • Some knowledge of MLOps, agentic AI, or financial data APIs What We Offer • Real-world fintech AI projects and international team experience • Mentorship from experienced engineers and financial analysts • Pathway to a full-time AI Engineer role for top performers • Strong portfolio development in AI for finance Send your resume, cover letter (detailing your interest), and GitHub/portfolio to info@eqlglobal.com Use subject: “AI Engineer Intern”

Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com

Job Description: AI/ML Engineer Key Responsibilities · Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. · Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. · Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. · Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. · Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. · Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. · Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. · Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills · Proficient in Deep Learning and Machine Learning techniques. · Strong experience with TensorFlow and PyTorch. · Solid background in image processing and computer vision, especially with CNN architectures. · Proficiency with Docker and experience with CI/CD pipelines. · Excellent programming skills in Python and experience with relevant ML libraries. · Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have · Experience deploying ML models on cloud platforms such as AWS and Azure. · Experience with Kubernetes or orchestration frameworks. · Familiarity with MLOps tools and workflows. · Experience with distributed training or federated learning. · Contributions to healthcare AI research or open-source projects. Education & Experience · Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. · 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us? · Opportunity to work on transformative AI applications in healthcare and radiology. · Collaborative and mission-driven team environment. · Access to advanced medical imaging datasets. Interested can apply to nanda.k@telradsol.com

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. The Sr Manager for Emerging Technologies is a senior-level engineering leadership role responsible for shaping and guiding the strategic direction, technical architecture, and adoption of emerging technologies across the conversational chatbot and search business unit, with a primary focus on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. This role involves working closely with senior executives, cross-functional engineering teams, and key business units to build robust, scalable, and innovative technology solutions that drive the companys strategic initiatives. The Distinguished Engineer will be a thought leader in the conversational AI space, leveraging deep technical expertise to drive breakthroughs in applied AI technologies, mentor teams and drive innovations. What Youll Be Doing You will be overseeing design, development, and implementation of complex software systems and enterprise-level applications and drive digital transformation. This role offers an exceptional opportunity to influence, innovate, and lead in an environment dedicated to pushing the boundaries of AI technology in conversational and enterprise search space. Performing cross-functional, multidisciplinary technical oversight to include evaluation of project work, scope, resources, methods and associated procedures related to org level initiatives. Understanding technical and functional architecture of current systems in Verizon Consumer business and bring in architecture recommendation for building intelligent conversational agents for Chatbot applications across different platforms (web, mobile, voice assistant) catering to customer sales and support applications. Define and lead the technology strategy for Conversational Chatbot and Search, with a focus on advancing AI, Gen AI and Agentic AI initiatives. Drive strategy for Conversational Chatbot and Search application. Provide strategic insights on AI trends, advancements, and competitive positioning to the executive leadership team. Identifying new technologies, continuous evaluation of evolving industry trends, and best practices, which can be applied in the applications and drive overall IT/Business benefits. Drive innovation and thought leadership in the team and building a strong pipeline for innovation/ideas and help guide the teams navigate from conceptual to implementation phases. Drive hackathons and ideathons at Org level. Influence and align cross-functional teams and business units to ensure cohesive execution of AI-driven objectives and goals. Partnering with Associate fellows and architects across consumer business on several org level initiatives. Mentoring and developing next level Principal Engineers, fostering a culture of technical excellence and continuous learning in emerging technologies will also be a core aspect of this role. Publish white papers, patents and research findings to position the organization as an industry leader in emerging technologies. Working with startups to drive partnerships in developing niche solutions for Consumer Business. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You'll Need To Have Masters degree or Six or more years of work experience. Six or more years of experience of leading design, conceptualizing, designing and architecture of complex IT systems solutions. Six or more years of relevant experience engaging in product, technology and Industry evaluations. Experience in 4G & 5G Wireless Telecom especially in RAN network along with RF Engineering skills. Experience in handling multiple stakeholders and large vendor teams. Experience in handling contact center solutions specifically chatbot, call center applications and tools, Web Application Solution and AI/GenAI Solution deployments at scale. Five or more years of experience in defining architecture and building Conversational AI solutions with latest technologies like Google Dialog Flow, ReactJS, Springboot based microservices. Strong background in systems architecture, data engineering, and cloud-native technologies (AWS, GCP, Azure), application performance monitoring using industry leading tools and data visualization. Expertise in AI, machine learning, deep learning, natural language processing, generative AI techniques, Autonomous experiences (Agentic AI) and Digital Twins. Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with MLOps, data ethics, and large-scale AI deployment. Experience in filing patents and holding white papers and patents. Affiliations with architecture and design industry forums. Awareness of Security and Legal requirements related to IT solutions. Experience in driving innovation in organizations via hackathons, ideathons and technology evangelism. Experience providing guidance to the delivery teams in articulating Solution Architecture and converting them into implementable Technical Designs. Even better if you have one or more of the following: Certifications in the specific technology areas. Ability to represent the team/application areas in various technology forums both internal and external. Strong verbal and written communication skills with skills in negotiations and building strong consensus with all stakeholders. Experience in playing the role of a technology person and a vivid speaker who has represented in technology forums. Experience in consulting roles to drive digital adoption across multiple business domains. Strong relationship skills and collaborative style to enable success across multiple partners. Strong commercial mindset and orientations to driving business value (revenue growth and expense mitigation). If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Hyderabad, India

Position title: Data Science & AI Engineer Experience:6-8 years Budget:25-28 LPA Notice period : 1 Month -Immediate joiner Skills set : MLOPS,Gen AI,SLM,LLM,Python , Data science , ai engineer Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members

We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems. As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Requirements Bachelor’s or Master’s degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems. Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Why CDM Smith? Check out this video and find out why our team loves to work here! Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies. Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions. Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data. Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively. Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution. Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models. Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing. Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups. Master strategic business process modeling, traceability, and quality management techniques. Strong verbal and written communication and presentation skills. Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams. Minimum Qualifications Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.) Proven Familiarity of Finance & Accounting principles and/or project accounting. Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of deep learning architectures, algorithms, and frameworks. Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Bachelor’s degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. Master’s Degree in Statistics, Business Administration or related disciplines is a plus. Certifications in Data Analytics & Data Science is a plus. Must have 1+ years of experience working on ML algorithms and related products. Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. Experience on creating the Dashboards, Scorecards, Ad-hoc Reports. Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules) Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 29th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Job Description: This internship offers a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Mission for this internship is to: Develop an interactive tool for mapping of Flight data recorders’ parameters based on Systems and subsystems. This will require the selected candidate to: Become familiarized with the system-wide functionality of Airbus aircraft Codify the potentially-affected parameters for a given incident to map the fault propagation tree Conduct research on, and ultimately implemented, the most appropriate Machine Learning algorithm(s) to be leveraged for this particular time-series application Build data visualization and user-interface tools By the end of this internship, you'll have delivered: A robust tool which will provide an exhaustive list of FDR parameters along with a practical representation of how and what all systems are impacted w.r.t a particular fault. A first-order proof of concept of the applicability of Machine Learning techniques in this space as demonstrated by a limited-scope use case Required Skills Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods.) Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) Familiarity with UI/UX design principles for intuitive interfaces would be a plus This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or a related field, with a keen interest in aviation data, artificial intelligence, and software development. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus India Private Limited Employment Type: Internship------- Experience Level: Student Job Family: Testing By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Include, But Not Limited To Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and/or R pySpark and/or SparkR and/or SparklyR Hadoop (Hive, Spark, HBase) Teradata and/or another SQL databases Tensorflow, and/or other statistical software including scripting capability for automating analyses SSIS, ETL Javascript, AngularJS 2.0, Tableau Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Extensive knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview : The Boeing AI India team is seeking a highly motivated and talented Early Career AI/ML Research Engineer to join our dynamic team as Associate Software Engineer – AI/ML . The ideal candidate will have strong technical expertise in Machine Learning with a Masters’ degree in a relevant field and possess a passion for advancing the state of the art in AI technologies. This role offers an exciting opportunity to contribute to innovative projects and collaborate with a team of experts in a fast-paced environment. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers. Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products. Developing data visualization techniques and implementing data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau and Power BI. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools and technology, perform Proof-of-concepts. Documenting results of research and development projects and provide input for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in computer science, Software Engineering, or a related field from a Tier 1/reputed academic institution. Strong technical experience in developing & delivering machine learning solutions. 5+ years of relevant experience with bachelors or Masters with 4+ years' related work experience or PhD in Computer Science, Software Engineering, or a related field with a focus on AI/ML and Computer Vision . Proficiency in programming languages such as Python, C++, or similar, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of machine learning algorithms, computer vision techniques, and image processing. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Strong communication skills, both written and verbal, with the ability to present complex ideas clearly. Preferred Qualifications (Desired Skills/Experience): Experience with large-scale datasets and cloud computing platforms (e.g., AWS, Google Cloud). Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies. Knowledge of additional areas such as natural language processing or reinforcement learning is a plus. Experience in publishing in top-tier conferences & journals. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5+ years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Aug. 01, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

JOB DESCRIPTION Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI ML Senior Associate at JPMorgan Chase within the Asset and Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Supports and develops an understanding of key business problems and processes. Advises a model development process, execute tasks including data wrangling/analysis, model training, testing, and selection. Strategically, implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Updates logically and conducts evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implements monitoring mechanisms to track model performance and ensure model reliability. Frequently communicates AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. From data analysis and modeling exercises, generate structured and meaningful insights and present them in an appropriate format according to the audience. Collaboratively, work with other data scientists and machine learning engineers to deploy machine learning solutions. As required by the business stakeholder, model risk function, and other groups, carry out ad-hoc and periodic analysis. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

About SAIGroup SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup’s latest investment, JazzX AI , is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool—it’s reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. Job Title: AGI Solutions Engineer (Junior) – GTM Solution Delivery (Full-time Remote-first with periodic travel to client sites & JazzX hubs) Role Overview As an Artificial General Intelligence Engineer you are the hands-on technical force that turns JazzX’s AGI platform into working, measurable solutions for customers. You will: Build and integrate LLM-driven features, vector search pipelines, and tool-calling agents into client environments. Collaborate with solution architects, product, and customer-success teams from discovery through production rollout. Contribute field learnings back to the core platform, accelerating time-to-value across all deployments. You are as comfortable writing production-quality Python as you are debugging Helm charts, and you enjoy explaining your design decisions to both peers and client engineers. Key Responsibilities Focus Area What You’ll Do Solution Implementation Develop and extend JazzX AGI services (LLM orchestration, retrieval-augmented generation, agents) within customer stacks. Integrate data sources, APIs, and auth controls; ensure solutions meet security and compliance requirements. Pair with Solution Architects on design reviews; own component-level decisions. Delivery Lifecycle Drive proofs-of-concept, pilots, and production rollouts with an agile, test-driven mindset. Create reusable deployment scripts (Terraform, Helm, CI/CD) and operational runbooks. Instrument services for observability (tracing, logging, metrics) and participate in on-call rotations. Collaboration & Support Work closely with product and research teams to validate new LLM techniques in real-world workloads. Troubleshoot customer issues, triage bugs, and deliver patches or performance optimisations. Share best practices through code reviews, internal demos, and technical workshops. Innovation & Continuous Learning Evaluate emerging frameworks (e.g., LlamaIndex, AutoGen, WASM inferencing) and pilot promising tools. Contribute to internal knowledge bases and GitHub templates that speed future projects. Qualifications Must-Have 2+ years of professional software engineering experience; 1+ years working with ML or data-intensive systems. Proficiency in Python (or Java/Go) with strong software-engineering fundamentals (testing, code reviews, CI/CD). Hands-on experience deploying containerised services on AWS, GCP, or Azure using Kubernetes & Helm. Practical knowledge of LLM / Gen-AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow) and vector databases. Familiarity integrating REST/GraphQL APIs, streaming platforms (Kafka), and SQL/NoSQL stores. Clear written and verbal communication skills; ability to collaborate with distributed teams. Willingness to travel 10–20 % for key customer engagements. Nice-to-Have Experience delivering RAG or agent-based AI solutions in regulated domains (finance, healthcare, telecom). Cloud or Kubernetes certifications (AWS SA-Assoc/Pro, CKA, CKAD). Exposure to MLOps stacks (Kubeflow, MLflow, Vertex AI) or data-engineering tooling (Airflow, dbt). Attributes Empathy & Ownership: You listen carefully to user needs and take full ownership of delivering great experiences. Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats. Detail-Oriented Builder: You care about the little things Mission-Driven: You want to solve important, high-impact problems that matter to real people. Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts. Travel This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 20–30% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities. Why Join Us At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what’s possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

Data Scientist/ML Scientist About Auxia Auxia is an AI-powered Growth and Personalization Platform that is reinventing how companies activate, engage, retain and monetize their customers. Auxia’s software delivers real-time personalization using ML that treats each customer as a unique individual, effectively creating a “cohort-of-one”. With Auxia, hundreds of personalized campaigns can be generated and deployed in minutes, doing away with static and tedious, rules-based segmentation and targeting. Auxia is easy to use, integrates with most major data and customer engagement tools, and frees up valuable internal resources. Our team started Auxia based on our collective expertise in advancing product growth at companies like Google, Meta, and Lyft. We saw a paradigm shift unfolding where the most successful teams drove significant revenue improvements and cost reductions by shifting from static, rules-based segmentation and targeting to real-time decision-making driven by machine learning. About the role As the core member of the Auxia Data Science team, you will play a significant role in driving the data science vision/roadmap and also in building and improving our Machine Learning models and Agentic AI products. You will perform research at the intersection of recommender systems, causal inference, transformers, foundational models (LLMs), content understanding and reinforcement learning and develop production grade models serving decisions to 10s of millions of users per day. You will work at the intersection of artificial intelligence, process automation, and workflow optimization to create intelligent agents that can understand objectives, make decisions, and adapt to changing requirements in real-time. You will also be responsible for performing in-depth analysis of customer data and derive insights to better understand customer problems and collaborate cross functionally across engineering, product and business teams. Responsibilities Design, implement, and research machine learning algorithms to solve growth and personalization problems and continuously fine-tune and improve them Design and develop AI-driven autonomous agents to execute complex workflows across various applications and objectives Implement and improve offline model evaluation methods Analyze large business datasets to extract knowledge and communicate insights to critical business questions by leveraging traditional statistical or machine learning methodologies Present and communicate data-based insights and recommendations to product, growth and data science teams at Auxia’s customers Stay updated on ML research through literature reviews, conferences, and networking Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years experience in training and improving and deploying ML models, developing production software systems such as data pipelines or dashboards preferably at fast-growing technology companies Proficiency in ML frameworks (TensorFlow/PyTorch/Jax) and the Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience with LLM, RAG, information retrieval etc in building production grade solutions Experience in recommender systems, feed ranking and optimization Experience in causal inference techniques and experimental design Experience working with Cloud services consuming and managing large scale data sets Thrives in ambiguity, ownership mindset, and willing to ‘get your hands dirty’ outside of the scope of your role (e.g. Product vision, strategic roadmap, engineering etc)