27201 Ml Jobs - Page 23

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030726

Job Title: AI Manager Location: Chennai Salary Range: ₹40,00,000 – ₹65,00,000 per annum Experience: 8 to 16 Years Key Responsibilities Lead and mentor a team of algorithm engineers, fostering growth and high performance. Design and maintain scalable infrastructure for deploying and executing AI/ML algorithms efficiently. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to build robust algorithmic solutions. Optimize algorithm performance for efficiency and resource utilization in line with business goals. Stay current with emerging trends in machine learning, computer vision, and algorithm engineering. Continuously improve development methodologies, tools, and practices to enhance delivery and system reliability. Required Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field. Minimum of: Ph.D. with at least 6 years of industry experience, or Master’s with at least 8 years of experience, or Bachelor’s with at least 10 years of experience. At least 3 years of experience in a formal Managerial role (not just Team Lead). 8+ years of hands-on experience in Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI). Proficient in programming languages such as Python, C++, and/or CUDA. 2–3 years of experience in Computer Vision and Image Processing. Strong understanding of high-performance computing, parallel programming, and distributed systems. Excellent analytical, problem-solving, and communication skills. Experience in managing the full development lifecycle of AI/ML projects in production environments. Preferred Qualifications Proficiency with frameworks such as TensorFlow, PyTorch, Scikit-learn. Hands-on experience with GPU architectures and containerization tools like Docker or Apptainer. Exposure to algorithm optimization and infrastructure design for scalable ML deployments. Academic background from a recognized institute (e.g., IIT, NIT, IIIT, VIT) is preferred. CGPA of 8.0 or above (where applicable) is considered an advantage. Experience in semiconductor, hardware, or product-based engineering companies is highly desirable. Additional Guidelines Must have a minimum of 2 years of stability in recent roles (no frequent job changes). Candidates must be willing to relocate to Chennai (relocation support available). Role requires 3 days/week working from office. Open to candidates currently located anywhere (including international profiles) willing to relocate. Interview Process Three Technical Rounds Fitment Discussion Final HR Round Skills: gpu architectures,ml,computer vision,c++,tensorflow,artificial intelligence,algorithm optimization,high-performance computing,infrastructure,infrastructure design,deep learning,cuda,python,image processing,pytorch,containerization tools (docker, apptainer),parallel programming,distributed systems,scikit-learn,learning,machine learning

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030705

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030751

Company Description EnQuest PetroSolutions is dedicated to providing comprehensive Total E&P solutions with a focus on delivering value through fit for purpose programs. Our team of experienced professionals uses best in class technologies and innovative approaches to manage projects of all scales efficiently. With over 20 years of industry experience and more than 200 years of cumulative operational expertise, we ensure client satisfaction and maximum productivity. Our services span the entire project chain, including seismic acquisition, drilling operations, production management, and advisory services, as well as marine logistics for offshore projects. Role Description This is a full-time on-site role for an AI ML Developer located in New Delhi. The AI ML Developer will be responsible for designing, implementing, and deploying machine learning models to solve complex problems. This includes working with pattern recognition, neural networks, and natural language processing (NLP). The developer will collaborate with cross-functional teams to integrate ML models into software applications and contribute to developing innovative solutions for various projects. Qualifications Strong understanding of Pattern Recognition, Neural Networks, and Natural Language Processing (NLP) Solid background in Computer Science and Software Development Proficiency in relevant programming languages and ML frameworks Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Good communication skills to explain complex concepts Minimum 2-3 Experience in AI and ML Bachelor's degree in Computer Science, Engineering, or a related field

About Hannoworks Hannoworks designs cutting-edge AI solutions, blending business strategy and advanced technology. As part of our mission-driven team, you’ll help decode the world’s most innovative company business models and dissect the tech driving them forward. Job Description As AI Research Analyst (Intern) at Hannoworks, you will dive deep into how different companies operate, analyze their core business models, and investigate the underlying tech stacks—especially in digital and AI-powered products. You’ll not just skim the surface but explore the granular details that set successful business and technology strategies apart in a competitive world. Responsibilities Analyze and Compare Business Models: Explore, document, and contrast diverse company business models such as product, service, subscription, marketplace, and bundling. Deep Tech Stack Research: Map out typical technology stacks for AI companies (including infrastructure, data pipelines, ML frameworks, cloud platforms) and assess how these choices align with products and business value. RAG Systems & AI Native Products: Research RAG (Retrieval-Augmented Generation) architectures and the ecosystem of AI-native digital products, identifying what makes advanced AI integration successful or innovative. Real-World Product Insight: Study digital products—from cloud SaaS to consumer AI tools—to understand market fit, monetization, and the tech powering them. Present Research: Summarize findings in clear, well-structured reports (written and visual), and present insights to research and product teams. Qualification Open qualification —if you have the skills, you are welcome. Skills and Requirements Python Basics: Comfortable using Python for research, scripting, or automation tasks. Project Portfolio: At least one AI or tech project demonstrable on your GitHub profile. Curiosity for Tech & AI: Genuinely passionate about technology, with a habit of exploring, tinkering, and learning—especially around latest AI/ML and digital product trends. Understanding of Digital AI Products: Familiar with modern digital tools and platforms leveraging AI (can explain the value they create). Knowledge of RAG Systems: Understand how retrieval-augmented generation works, and can discuss its application in AI products. AI-Native Mindset: An “AI native”—someone who intuitively grasps how AI stacks, agents, and emerging products come together to create business and technical value. Communication: Ability to document research clearly and share insights—both in writing and when presenting. Self-driven: Independent learner, able to set research direction with minimal supervision. Bonus Points Familiarity with business frameworks (e.g., B2B, B2C, SaaS, freemium, marketplace, etc.). Experience with data visualization or reporting tools. Prior work on AI-powered or digital products—even if just prototypes.

Deliver captivating classroom instruction on subject of emerging technologies like Computer science,Artificial Intelligence and Machine learning. Collaborate on developing and refining the curriculum as per latest emerging technologies. Conduct research, secure funding for projects, and contribute to the advancement of the domain knowledge. Provide guidance and mentorship to students, fostering their academic and professional growth. Contribute to the creation of innovative learning materials and laboratories. Participation in examinations & academic work of the university. Actively participate in co-curricular and extra-curricular activities, including Faculty Development Programs. Requirement: Must have B.tech/M.tech CS/AI/ ML or MCA Accommodation will be provided Must have experience in teaching Candidate can apply from anywhere in india Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Food provided Application Question(s): What is your qualification? Do you have experience in teaching, as faculty/assistant professor ? Are you immediate joiner ? Work Location: In person

Key Responsibilities: Design and develop full-stack web applications using the MERN (MongoDB, Express, React, Node.js) stack. Build RESTful APIs and integrate front-end and back-end systems. Deploy and manage applications using AWS services such as EC2, S3, Lambda, API Gateway, DynamoDB, CloudFront, RDS, etc. Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, or other DevOps tools. Monitor, optimize, and scale applications for performance and availability. Ensure security best practices in both code and AWS infrastructure. Write clean, modular, and maintainable code with proper documentation. Work closely with product managers, designers, and QA to deliver high-quality products on schedule. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 3+ years of professional experience with MERN Stack development. Strong knowledge of JavaScript (ES6+), React.js (Hooks, Redux), and Node.js. Hands-on experience with MongoDB and writing complex queries and aggregations. Proficiency in deploying and managing applications on AWS. Experience with AWS services like EC2, S3, Lambda, API Gateway, RDS, CloudWatch, etc. Knowledge of Git, Docker, and CI/CD pipelines. Understanding of RESTful API design, microservices architecture, and serverless computing. Strong debugging and problem-solving skills. Preferred Qualifications: AWS Certification (e.g., AWS Certified Developer – Associate). Experience with Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Experience with GraphQL and WebSockets. Familiarity with container orchestration tools like Kubernetes or AWS ECS/EKS. Exposure to Agile/Scrum methodologies. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. Job Type: Full-time Pay: Up to ₹1,800,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Why This Role Matters: Data is the foundation of our business, and your work will ensure that we continue to deliver high-quality competitive intelligence at scale. Web platforms are constantly evolving, deploying sophisticated anti-bot measures—your job is to stay ahead of them. If you thrive on solving complex technical challenges and enjoy working with real-world data at an immense scale, this role is for you. We seek a Software Development Engineer with expertise in cloud infrastructure, Big Data and web crawling technologies. This role bridges system reliability engineering with scalable data extraction solutions, ensuring our infrastructure remains robust and capable of handling high-volume data collection. You will design resilient systems, optimize automation pipelines, and tackle challenges posed by advanced bot-detection mechanisms. Key Responsibilities: Architect, deploy, and manage scalable cloud environments (AWS/GCP/DO) to support distributed data processing solutions to handle terabyte-scale datasets and billions of records efficiently Automate infrastructure provisioning, monitoring, and disaster recovery using tools like Terraform, Kubernetes, and Prometheus. Optimize CI/CD pipelines to ensure seamless deployment of web scraping workflows and infrastructure updates. Develop and maintain stealthy web scrapers using Puppeteer, Playwright, and headless chromium browsers. Reverse-engineer bot-detection mechanisms (e.g., TLS fingerprinting, CAPTCHA solving) and implement evasion strategies. Monitor system health, troubleshoot bottlenecks, and ensure 99.99% uptime for data collection and processing pipelines. Implement security best practices for cloud infrastructure, including intrusion detection, data encryption, and compliance audits. Partner with data collection, ML and SaaS teams to align infrastructure scalability with evolving data needs Research emerging technologies to stay ahead of anti-bot trends including technologies like Kasada, PerimeterX, Akamai, Cloudflare, and more. Required Skills: 4–6 years of experience in site reliability engineering and cloud infrastructure management . Proficiency in Python, JavaScript for scripting and automation . Hands-on experience with Puppeteer/Playwright, headless browsers, and anti-bot evasion techniques . Knowledge of networking protocols, TLS fingerprinting, and CAPTCHA-solving frameworks . Experience with monitoring and observability tools such as Grafana, Prometheus, Elasticsearch, and familiarity with monitoring and optimizing resource utilization in distributed systems. Experience with data lake architectures and optimizing storage using formats such as Parquet, Avro, or ORC. Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes). Deep understanding of infrastructure-as-code tools (Terraform, Ansible) . Deep experience in designing resilient data systems with a focus on fault tolerance, data replication, and disaster recovery strategies in distributed environments. Experience implementing observability frameworks, distributed tracing, and real-time monitoring tools. Excellent problem-solving abilities, with a collaborative mindset and strong communication skills.

Experience: 1 to 3 years Location: Mohali Punjab OVERVIEW Responsibilities: Develop and maintain web applications using Python frameworks like Django and Flask. Utilize data analysis libraries such as NumPy, pandas, and matplotlib for extracting insights from large datasets. Implement machine learning models using TensorFlow and PyTorch for various applications. Handle HTTP requests efficiently using libraries like Requests. Perform web scraping tasks using Beautiful Soup and Scrapy. Collaborate with cross-functional teams to design and implement scalable solutions. Ensure the security and integrity of data by integrating with database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Stay updated with the latest trends and technologies in the Python ecosystem. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. Excellent problem-solving skills and attention to detail. Ability to work independently as well as in a team environment. Strong proficiency in Python programming language. Experience with Python frameworks such as Django and Flask for web development. Familiarity with LangChain, LlamaIndex, ML, or VectorDB technologies is a plus, enhancing the team’s capabilities in data management and analysis. Proficiency in deploying Python applications to AWS, Azure, or GCP cloud platforms. Experience with FastAPI as an API development framework, facilitating efficient and robust development of web APIs to support the software ecosystem. Familiarity with data analysis libraries like NumPy, Pandas, Requests, and matplotlib. Experience in handling HTTP requests and web scraping. Understanding of database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Strong communication and interpersonal skills. Programming languages: Python, JavaScript, HTML, CSS. Experience with DevOps tools (Jenkins, Docker, Kubernetes) is a plus. Version control: Git, GitHub. Knowledge of LLM, AI/ML, and OpenAI technologies is a bonus. Job Type: Full Time, Permanent, Regular 5 Days Working Location: Plot no.968, Sector-82, JLPL Industrial Area, Mohali, Punjab (140306) Supplement Pay: Yearly Performance Based Bonus, Overtime pays, and others. Benefits: Personality and Training Development, Paid leave, Mensuration leaves, Maternity leaves, Compensatory Off and other special leaves.

Job Description: Nogiz is hiring a passionate and skilled Python Developer (AI/ML) with 3+ years of experience to join our on-site team. If you're looking to work on impactful machine learning projects, collaborate with a motivated team, and grow in a technology-first environment, we’d love to hear from you. Responsibilities & Skills: Develop and deploy AI/ML models using Python and modern frameworks. Handle data preprocessing, feature engineering, and algorithm tuning. Work closely with cross-functional teams to integrate models into live systems. Optimize model performance and scalability. Write clean, maintainable code and clear documentation. Strong understanding of Python, OOPs concepts, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Experience in model evaluation and statistical analysis. Good communication skills and team collaboration. Exposure to Agile methodologies is a plus. Job Type: Full-time Pay: ₹50000 -₹80000 per month Schedule: Day shift Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Location Mohali, Punjab (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python development: 3 years (Preferred) AI/ML: 3 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

DESCRIPTION At Amazon, we pride ourselves on being Earth's most customer-centric company, and we're searching for exceptional leaders to join our dynamic team. As part of Amazon Robotics within Fulfillment Technologies & Robotics (FTR), our Global Operations-Artificial Intelligence (GO-AI) division plays a crucial role in revolutionizing automation through Computer Vision and Machine Learning technologies. GO-AI specializes in delivering high-quality data that powers AI and Machine Learning product lifecycles, utilizing both near real-time human-in-the-loop (NRT HITL) and offline annotations. Our work directly impacts Amazon's ability to innovate and improve customer experiences through automated solutions. We're currently seeking a Manager II, Operations to join our GO-AI team. In this role, you'll lead a team of managers and subject matter experts, driving operational excellence and ensuring business continuity. Your responsibilities will extend beyond day-to-day management to include strategic planning, process optimization, and the development of high-performing teams. The ideal candidate will excel at orchestrating complex operations, demonstrating strong leadership in managing both people and processes. You'll be responsible for setting and achieving production and quality targets while fostering an environment of continuous improvement. Your ability to communicate effectively, both verbally and in writing, will be crucial as you collaborate with multiple stakeholders across the organization. This role offers an exciting opportunity to shape the future of AI operations at Amazon while developing your leadership skills in a fast-paced, innovation-driven environment. If you're passionate about building and leading teams, driving operational excellence, and contributing to innovative technology solutions, we want to hear from you. Join us in our mission to push the boundaries of what's possible in AI operations while delivering exceptional value to our customers worldwide. Key job responsibilities Leadership & Team Management: Lead and develop a team of 5-7 front-line managers/leads with an indirect span of ~100 team members Drive performance management, career development, and succession planning Make hiring and performance management decisions in partnership with HR Coach and mentor managers to develop leadership capabilities Operations Excellence Own SLA compliance and task completion targets for the organization Establish and maintain quality control processes and performance metrics Drive continuous improvement initiatives across multiple teams Manage sprint planning and team output optimization Execute capacity planning and resource allocation Strategic Initiative Management Lead end-to-end process improvement projects affecting multiple teams Spearhead global rollouts of new technologies and procedures Partner with cross-functional teams to resolve quality and performance barriers Develop and implement risk mitigation strategies Technical Expertise Oversee ML data quality procedures and standards Drive operational performance metrics and improvements Contribute to site-level strategy, capacity analysis and quality improvements Manage pilot programs for new technologies and procedures BASIC QUALIFICATIONS Strong analytical and problem-solving abilities Excellence in stakeholder management and communication Deep understanding of ML operations and data quality principles Proven track record of leading large-scale organizational changes Experience with Agile/Scrum/application of Gen-AI methodologies to lead AI-assisted operations Strong business acumen and strategic thinking capabilities Handled Global scope with significant influence on organizational strategy Bachelor's degree or equivalent practical experience 7+ years of experience in operations management 3+ years of people management experience, including managing manager Experience with ML operations, data quality management, Fulfillment Operations or related field PREFERRED QUALIFICATIONS - We are looking for candidates who can join work from Bangalore - Onsite. Master's degree in Business Administration, Operations Management, or related field Experience in artificial intelligence or machine learning operations Track record of leading large-scale process improvement initiatives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

DESCRIPTION Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally. We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results. Key job responsibilities We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. BASIC QUALIFICATIONS 3+ years of tax, finance or a related analytical field experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL PREFERRED QUALIFICATIONS 3+ years of business analyst, data analyst or similar role experience Experience working in risk, fraud, or ML organizations. Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders. Familiar with defining configuration specifications and business analysis requirements Experience working in risk, fraud or compliance organizations. - Advance SQL proficiency -write complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking an experienced Quality Engineer for Salesforce Agentforce to join our Digital Success Engineering team. The ideal candidate should have a strong background in AI, retrieval-augmented generation (RAG), and Agentic technologies testing, along with expertise in Salesforce and programming languages like APEX, Python or Java. A passion for building robust automated testing solutions for Agentic user experience and application programming interfaces (APIs) is essential. In this role, you will develop automated quality assurance practices for scalable customer-facing and internal Agentforce implementations. Proficiency in testing framework, JavaScript, modern UI frameworks, WebDriver, Selenium, and API testing is required. You will create functional and automation tests for Agent UI and APIs while collaborating with team members to enhance existing code and frameworks. Experience with Jenkins or other CI/CD tools is a plus. Salesforce, the world’s #1 AI CRM, has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing and commerce, driving unprecedented efficiency and customer satisfaction. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. This role is crucial in redefining how we enable innovative experiences driven by Agentforce. You will key to the evolution of Customer Success in the realm of Agentforce. The Team Our Digital Success Engineering team is an interdisciplinary mix of distributed software engineers, architects and engineering managers working collaboratively to build Unified Experiences for our Trailblazers. As customer zero, we drive innovation by harnessing Salesforce technology to create and easy and expert self-service experience that fuels Trailblazer Success. The Role You will develop and implement a quality engineering, testing strategy, testing framework, managing manual and automated test cases to ensure seamless human-agent experiences with Salesforce Agentforce and DataCloud. Your responsibilities include defining and executing a comprehensive testing plan and collaborating with Product Managers, Developers, and cross-functional teams to deliver exceptional Customer Success experiences. PRIMARY RESPONSIBILITIES Quality Engineering Strategy & Leadership: Define, develop, and execute a comprehensive quality engineering and testing strategy specifically for Salesforce Agentforce, Data Cloud, and other relevant Salesforce platform capabilities. Test Automation Expertise: Design, develop, and maintain robust automated test scripts for Agent UI, Experience Site UI, and APIs using industry-standard tools and frameworks such as Selenium, WebDriver, JavaScript frameworks, and API testing tools. AI & Agentforce Testing: Develop specialized testing strategies and test cases for AI-powered features, including Retrieval-Augmented Generation (RAG), Agentic workflows, single turn / multi Turn conversation, Natural Language Processing (NLP), and Large Language Models (LLMs). Use AI and RAG testing metrics to define and measure testing outcome. Data-Driven Quality: Build and maintain datasets for training, fine-tuning, and evaluating the performance and accuracy of LLMs and other AI models. Implement data-driven approaches to measure and improve the quality of AI features. Functional & Salesforce Testing: Design and execute functional test plans and test cases tailored to Salesforce applications, including customizations using Flows, Triggers, Apex Jobs, and more. Possess a strong understanding of Salesforce best practices and governor limits. Continuous Integration & Continuous Delivery (CI/CD): Build and maintain automated quality control pipelines using Jenkins or other CI/CD tools to ensure seamless integration and deployment of high-quality software. Defect Management: Effectively identify, document, track, and manage defects to ensure timely resolution and contribute to root cause analysis. Collaboration & Communication: Partner effectively with Product Managers, Developers, UX Designers, and other stakeholders to understand requirements, provide timely feedback, communicate testing progress, and collaborate on solutions. Best Practices & Standards: Establish and champion quality standards, methodologies, and best practices within the team and across the organization. Performance Optimization: Continuously assess the performance of Agentforce implementations , identify potential bottlenecks, and recommend and implement proactive measures for optimization. Technical Expertise: Stay up-to-date with the latest Salesforce releases, AI advancements, and emerging testing trends. Stakeholder Management: Communicate testing progress, risks, and mitigation strategies effectively to various stakeholders, including both technical and non-technical audiences. Agile Participation: Actively participate in Agile development methodologies, contributing to sprint planning, daily stand-ups, and retrospectives. Problem-Solving & Analytical Skills: Demonstrate strong analytical and problem-solving skills to identify and resolve complex quality issues effectively. Professional Experience/Skills Required: Overall 7+ years of experience in Software Quality Engineering. 2+ years of hands-on experience with the Salesforce platform, including configuration and development across various Salesforce Customer 360 products (e.g., Sales Cloud, Service Cloud, Data Cloud, Einstein ). 3+ years of proven experience in testing Machine Learning (ML), Artificial Intelligence (AI) systems, and/or services. Strong proficiency in at least one programming language such as Python or Java, particularly relevant for test automation and AI/ML testing. Experience with Large Language Models (LLMs) and prompt engineering testing frameworks. Solid understanding of Retrieval-Augmented Generation (RAG) and Agentic technologies. Demonstrated experience in building and maintaining robust automated testing frameworks for UI and APIs. Proficiency in JavaScript and modern UI frameworks (e.g., React, Angular, Vue.js) for UI test automation. Experience with WebDriver and Selenium for browser automation. Strong analytical mindset with experience in using a data-driven approach to measure and improve the quality of complex ML/AI products. Proven experience with Salesforce DevOps, CI/CD processes, and automation tools. Deep understanding of Salesforce architecture, functionalities, and various clouds. Strong understanding of AI, machine learning, and natural language processing principles. Experience with data management principles and Customer Data Platforms (CDPs) or Data Lakes. Familiarity with development tools like SLDS, XML, HTML, SQL, JavaScript, JSON, and CSS. Proven ability to work effectively within cross-functional teams to achieve common goals and business objectives. Experience with Agile development or Scrum project management methodologies and tools. Solid understanding of software engineering principles, key design patterns, and best practices. Strategic thinker with the ability to see the big picture, innovate, and adapt to constant change. Ability to work under pressure, highly adaptable, and well-organized. Highly effective written and verbal communication skills with audiences across all levels of the organization. Strong organizational skills with the ability to establish and manage priorities in a complex and fast-paced environment. Strong knowledge of data management concepts and architectures. Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience. Salesforce Certifications (Preferred): Salesforce Platform App Builder Salesforce Administrator Salesforce-specific certifications related to Agentforce (if and when available) Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

🚀 We're Hiring: Senior AI/ML Engineer | Join Our Mission to Build the Future of Intelligent Systems Are you passionate about cutting-edge AI and machine learning? Are you eager to build and deploy Large Language Models, intelligent agents, and transformative AI systems at scale? We’re looking for a " Senior AI/ML Engineer" to join our fast-moving team and make a real impact. 🔍 What You’ll Do: Fine-tune and optimize state-of-the-art models (Transformers, CNNs, RNNs) for real-world use cases Apply quantization and other optimization techniques (INT8, INT4, dynamic quantization) to maximize model performance Build, deploy, and scale intelligent AI agents and multi-agent systems Design APIs and services using FastAPI, Flask, or Django REST, and deploy using Docker/Kubernetes across AWS/GCP/Azure Collaborate on production-grade solutions using PyTorch, TensorFlow, Hugging Face Transformers Leverage vector databases (e.g., Pinecone, Weaviate, Chroma) to power intelligent applications ✅ What We’re Looking For: 3+ years of AI/ML development experience with a proven track record of delivering impactful projects Expertise in fine-tuning and deploying LLMs and deep learning models Deep understanding of modern AI workflows and frameworks (Transformers, Agents, RAG, etc.) Strong Python skills and solid software engineering fundamentals Hands-on experience with production environments, CI/CD, and cloud platforms Proficiency in databases (PostgreSQL + vector DBs) and collaborative Git workflows 🌟 Bonus Points For: Experience with distributed training and large-scale model development Familiarity with retrieval-augmented generation (RAG), prompt engineering, and chain-of-thought reasoning. Background in AI ethics or responsible AI practices Start-up or rapid development experience Bachelor’s or Master’s degree in Computer Science, AI, or a related field 🌐 Why Join Us? Work on high-impact, technically challenging problems Be part of a collaborative, fast-moving, and forward-thinking team Build products that leverage cutting-edge AI to solve real-world challenges Shape the direction of intelligent systems from the ground up \#AIJobs #MachineLearning #DeepLearning #LLMs #MLJobs #TechHiring #StartupJobs #ArtificialIntelligence #FastAPI #HuggingFace #PyTorch #Kubernetes #AIEngineer

Job Summary: We are looking for a Computer Vision Engineer to develop and implement AI-driven solutions for the restaurant industry. The ideal candidate will design, train, and deploy machine learning models for real-time video analytics, improving operational efficiency and customer experience. Roles & Responsibilities: Develop and deploy computer vision models for restaurant automation and analytics. Work with Python and its libraries (OpenCV, TensorFlow, PyTorch) to process video feeds. Design database architectures using SQL and MongoDB for efficient data storage. Build cloud-based AI solutions on AWS for scalable deployment. Develop web applications and dashboards using HTML, CSS, and JavaScript to visualize insights. Integrate AI-powered insights into restaurant POS systems and management software. Optimize AI models for real-time performance and accuracy. Collaborate with frontend and backend developers to integrate AI models into web applications. Ensure data security and compliance with industry standards. Skills Required: ✅ Strong proficiency in Python (for AI, ML, and backend development). ✅ Experience with Python libraries: OpenCV, TensorFlow, PyTorch, NumPy, Pandas, Flask. ✅ Knowledge of SQL (PostgreSQL, MySQL) & MongoDB for database management. ✅ Cloud computing skills in AWS (EC2, S3, Lambda, SageMaker). ✅ Web development fundamentals: HTML, CSS, JavaScript. ✅ Strong understanding of image processing and deep learning techniques. ✅ Experience in deploying AI models on cloud/edge devices. ✅ Familiarity with API development and system integration. Preferred Qualifications: Bachelor's/Master’s degree in Computer Science, AI, Data Science, or a related field. Experience with real-time video analytics or IoT in restaurants is a plus. Knowledge of Docker & Kubernetes for model deployment. Job Types: Full-time, Permanent Work Location: In person

Job Description Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Job Description Overview We are seeking a skilled Associate Manager – AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

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

Job title: Internal Audit – Senior Consultant About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte’s clients‘ most complex issues. Work you’ll do The key job responsibilities will be to: Conduct/lead client interviews, communication and follow ups Perform risk assessment for organizations to identify prioritized list of risks and propose audit plan Perform controls benchmarking to leading internal controls framework to identify gaps and redundant controls Perform internal audit assurance activities (internal audits over financial, operational, compliance, and strategic risk areas as well as execution of SOX-related activities and EQARs), consult with engagement leadership and clients on strategic plans and other business matters, and help to anticipate emerging risks for our clients Perform business cycle controls and general computer controls review / testing as part of SOX, Internal Audit, and SSAE18 reviews Use problem solving and critical thinking skills to quickly identify internal control deficiencies, evaluate their risk implications, and draw the appropriate conclusions to best advise our clients Demonstrate ability to research, organize, and analyze data and execute selected tests of internal controls Build and nurture positive working relationships with clients, by providing high quality deliverables and communications Support client engagements by helping plan the audit approach and scope, preparing the audit program, determining auditing procedures, seeing the audit process through completion, and applying internal audit standards Demonstrate ability to prepare and present concise and easy to understand reporting to the client and other stakeholders Facilitate use of technology-based tools or methodologies to review, design, and implement products and services Create internal control documentation for the engagement including narratives, process and data flows, and other supporting work papers Demonstrate ability to identify, discuss and agree audit outcomes with stakeholders and work towards finalizing action plan to address the findings/gaps/risks Exercise professional skepticism, judgment and adhere to the code of ethics while on engagements Identifying and evaluation of complex business risks, internal controls which mitigate risks, and related opportunities for internal control improvement along with in depth understanding and knowledge of ERP (Oracle/SAP), COSO and US GAAP to bring greater value to the clients. Further, demonstrating the understanding and applicability of the recent updates from Institute for Internal Auditors (IIA), Public Company Accounting Oversight Board (PCAOB) and American Institute of Certified Public Accountants (AICPA) guidance Continually develop technical and professional skills through continuous learning programs Play a substantive role with project management by supporting engagement planning, economics, billing and staffing; providing regular status reports for the client, while supervising junior staff Support organization and function initiatives Required skills Experience — 5 to 9 years of relevant experience Strong business process controls experience including knowledge of IT general computer controls Exposure to work across industries - Technology media and telecommunication, Manufacturing/ Consumer, Life Sciences and Health Care, Energy Resources, Financial services. Willingness to expand skillset and work on other related areas Demonstrate leadership, problem solving, and strong verbal and written communication skills Ability to prioritize tasks, work on multiple assignments, and manage ambiguity Ability to work both independently and as part of a team with professionals at all levels Willingness to travel within and out of country on engagements (if opportunity is presented) Preferred skills Big 4 experience Qualification Chartered Accountant/MBA in Finance/Relevant certification (e.g. CPA, CIA and CISA) Shift Time – 6:00 pm – 3:00 am IST Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307690

Job Description Overview GCC removes duplication, increases consistency, centralizes critical capabilities to help speed up decision making, all of which will free up resources and funds to reinvest in our R&D operations and help local teams accelerate growth. R&D GCC has been operational for 2yrs, and this role is an evolution of a purely ‘Design’ function into one that is now additionally accountable for leading and / or supporting the Global R&D ‘Transformation’ of capabilities other than specification established in GCC. This primarily includes Tech Knowledge Management, Tech Market Analysis, Tech Project management, Simulation/ Modelling and Statistics COE. This aims to manage and build R&D business services in the non-specification areas by identifying white spaces, exploring new opportunities including those that were deemed non-eligible in the first phase of GCC. This role will further collaborate with capability teams/ PEX team to identify opportunities and implement digital capabilities to digitize and automate the existing processes to drive additional efficiency. This role has direct responsibility for Capability Penetration within GCC by implementation of aligned R&D designs for transition, outlining roadmaps for phased and/or fragmented lift and shift transitions, leading white space analysis. All whilst setting up strong governance models with GCC teams in Mexico and India. Responsibilities Lead overall transition management through flawless execution of Design & Transition playbooks. Align and subsequently build project deliverables in partnership with GCC Capability Leads and R&D Stakeholders (=BU). Design right-sized future state in collaboration with India and Mexico Hub management to ensure transition execution excellence and effective sustain models for ongoing service. Ensure Governance process for transition is executed flawlessly with connectivity into R&D, GCC hubs and relevant Ecosystem/ CoE teams. Secure hand off with Service Delivery Teams and where necessary to ensure sustained success, implement a hyper-care phase following Go-Live. Track costs with R&D finance and work towards agreed productivity targets. Assess R&D for opportunities for GCC support. Review existing Non-Spec R&D Capabilities and identify white spaces and optimize and standardize current capabilities e.g., Review / explore white spaces never in-scope or those that were deemed GCC-ineligible in the first phase of standing up of GCC. Partner with R&D to review where external service spend happens. Sector, Category and Function detailed understanding is needed. E.g., External website development and sustain / External vendors for data analysis / modelling and simulation / AI / ML etc. Build links with the S&T PEX organization to be informed of current projects. Understand PEX’s selection process and project prioritization and if Transition of a new Capability or the ‘fix’ element of a Transition does not qualify assume Project Leadership for value unlocks and/or productivity savings. Leverage existing Design to challenge complexity, drive process simplification and continuous improvement. Collaborate with both Mexico and India Hubs to share DTPs and best practices to implement opportunities, leverage best practice OLA/SLA development and KPIs to guarantee success of ongoing business. Define new digital capabilities to automate existing processes . Independently build the business case and partner with R&D capability lead to build and deploy across GCC teams. Quantify and track delivered value and efficiency Lead execution of change management and communication activities , working with Change Management COE where possible to ensure clear communication. Efficiency - Drive Efficiency through automation / optimization and standardization to the tune of 10% year on year. Total FTEs in scope is 100+ across 6 Capabilities. Qualifications >10 yrs experience in Food and or Beverage Technical/ R&D in FMGC/CPG companies. Experience in digital transformation is an added advantage. Preferable to have >5yrs experience in PepsiCo R&D. Excellent leadership and stakeholder management skills (often within a matrix organization), driving a complex agenda - Needs to be able to influence R&D leadership for alignment of Design. Must interface well in groups from different functions and levels, sometimes with conflicting agenda/priorities. Strong project management experience Strategic capability with sharp analytical skill to link strategies and objectives together to develop a plan Tech savvy: comfortable navigating digital tools and basic tech environments (e.g., Using Low-code/No-code Platforms / AI / Data standards). Logical systems thinker, understanding how individual parts need to integrate into an overall system in a structured step-by-step manner. Outstanding communication and presentational skills, excellent in taking others with you at various levels of the organization ranging from SMEs to senior Executives across Global Sectors to drive transformational changes. Proven ability to effectively manage high volume workload and multiple priorities in a fast-paced highly demanding project R&D environment. Experience leading change programs with complex people related impacts. Continuous improvement experience (preferred)

Category: Business Consulting, Strategy and Digital Transformation Main location: India, Andhra Pradesh, Hyderabad Position ID: J0725-0862 Employment Type: Full Time Position Description: Job Title: Data EngineerExperience Level: 5+ YearsLocation: Hyderabad Job Summary We are looking for a seasoned and innovative Senior Data Engineer to join our dynamic data team. This role is ideal for professionals with a strong foundation in data engineering, coupled with hands-on experience in machine learning workflows, statistical analysis, and big data technologies. You will play a critical role in building scalable data pipelines, enabling advanced analytics, and supporting data science initiatives. Proficiency in Python is essential, and experience with PySpark is a strong plus. Key Responsibilities Data Pipeline Development: Design and implement scalable, high-performance ETL/ELT pipelines using Python and PySpark. ML & Statistical Integration: Collaborate with data scientists to integrate machine learning models and statistical analysis into data workflows. Data Modeling: Create and optimize data models (relational, dimensional, and columnar) to support analytics and ML use cases. Big Data Infrastructure: Manage and optimize data platforms such as Snowflake, Redshift, BigQuery, and Databricks. Performance Tuning: Monitor and enhance the performance of data pipelines and queries. Data Governance: Ensure data quality, integrity, and compliance through robust governance practices. Cross-functional Collaboration: Partner with analysts, scientists, and product teams to translate business needs into technical solutions. Automation & Monitoring: Automate data workflows and implement monitoring and alerting systems. Mentorship: Guide junior engineers and promote best practices in data engineering and ML integration. Innovation: Stay current with emerging technologies in data engineering, ML, and analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in data engineering with a strong focus on Python and big data tools. Solid understanding of machine learning concepts and statistical analysis techniques. Proficiency in SQL and Python; experience with PySpark is highly desirable. Experience with cloud platforms (AWS, Azure, or GCP) and data tools (e.g., Glue, Data Factory, Dataflow). Familiarity with data warehousing and lakehouse architectures. Knowledge of data modeling techniques (e.g., star schema, snowflake schema). Experience with version control systems like Git. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Skills: English Data Engineering Python SQLite Statistical Analysis What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.