5727 Reasoning Jobs - Page 25

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: You will be reviewing interactions between users and an AI chatbot, carefully reading the prompt to understand the user’s intent, analyzing the AI’s response for correctness, and identifying any inaccuracies or misleading statements. You’ll fact-check specific claims using reliable sources, determine whether the response is fully accurate, partially incorrect, or entirely wrong, and annotate any issues found. Requirements: Ability to read and write in English with a high degree of comprehension skills. Good research and analytical skills Ability to provide constructive feedback and detailed annotations. Creative and lateral thinking abilities. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection. Preferred Qualifications: Bachelor's degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. We are open to candidates who do not have a Bachelor's degree but have experience in the area. Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.) Understanding of Excel and Google Suite. Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is highly desirable. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Offer Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] This role will require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_Angeles Evaluation Process : Shortlisted candidates will be sent an automated analytical challenge (approximately 50 to 60 mins) Once you clear these online assessments, you are ready to go!

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in Application-Specific Integrated Circuit (ASIC) development, with power optimization. Experience with low power schemes, power roll up, and power estimations. Experience in ASIC design verification, synthesis, timing analysis. Preferred qualifications: Experience with coding languages (e.g., Python or Perl). Experience in System on a Chip (SoC) designs and integration flows. Experience with power optimization and power modeling tools. Knowledge of high performance and low power design techniques. About The Job In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver quality designs for next generation data center accelerators. You will also solve problems with micro-architecture and practical reasoning solutions, and evaluate design options with performance, power and area in mind. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Participate in defining power management schemes and low power modes. Create power specifications and Unified Power Format (UPF) definition for System on a Chip (SoC) and subsystems. Estimate and track through all phases of the project. Run power optimization tools, suggest ways to improve power and drive convergence. Work with cross-functional teams for handoff of power intent and power projections. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Description About the Company - We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. 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. About The Role We’re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. Expert-level knowledge of SQL with strong data exploration and manipulation skills. Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Creative problem-solver who simplifies problems to their core elements. B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus.

About This Role Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms. In This Role, You Will Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments. CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds. Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP). Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications. Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs. Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure. Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives. Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP and or Azure Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc. Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc Proficient with GCP Predictive AI services ML Pipelines, Model serving Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc Thorough understanding and handson for GCP Agent space NotebookLM Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude). Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment. Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment. Posting End Date: 31 Jul 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-472121

Lead AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as a Lead AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Lead end-to-end AI/ML projects, from problem definition, feature selection, development, implementation of models, monitoring, retraining, infrastructure and communication of results Provide technical leadership on complex AI/ML projects, developing end-to-end machine learning pipelines, robust data models and driving innovation in engineering practices Address advanced AI/ML challenges, evaluate and optimize existing data pipelines and frameworks for efficiency and cost-effectiveness using cutting-edge techniques Architect and oversee scalable, production-ready data models and pipelines, solve complex issues and lead work on optimization and performance of models, ensuring alignment with business needs Collaborate with stakeholders and cross-functional teams and communicate insights to influence data strategy, product roadmaps, and scalable solutions through expertise in AI/ML techniques, tools, architectures, and business applications, delivering measurable positive impact Design and advocate for resilient, secure, scalable, and sustainable data / AI/ML architectures while creating modernization plans for long-term innovation and maintainability Evaluate and improve tools, methodologies, and assess industry practices to drive quality and innovation across AI/ML engineering initiatives Mentor AI/ML engineers and other talent, promoting diversity, inclusion, and leadership development across all levels Build relationships with stakeholders, champion best practices, and lead initiatives to deliver robust, scalable, future-proof data engineering solutions, while championing quality, modernization, and best practices across the organization Work across organizational boundaries to resolve challenges, influence shared roadmaps spanning multiple teams, ensuring scalable solutions prioritizing organizational objectives vs team or individual specific ones, while aligning with evolving data engineering requirements Foundational Skills Have specialized in Machine Learning Pipelines, can easily demonstrate in complex scenarios and mentors/coaches others Have mastered the concepts and can demonstrate below skills in complex scenarios Programming AI & Machine Learning Data Analysis Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NLP) Data Architecture Data Processing Frameworks Technical Documentation Technical leadership experience in Data integration and AI Agentic solutions including Connecting AI agents to various custom data sources (e.g., Databases, APIs, internal document stores). Implementing Retrieval Augmented Generation (RAG) patterns. Working with Vector Stores (e.g., Pinecone, Weaviate, ChromaDB, FAISS, etc.) and Knowledge Graphs Implementing agent memory storage and reasoning solutions, and using various Multi-Agent Frameworks (e.g., AutoGen, CrewAI, or similar). Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 13+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and design experience 6+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Strong understanding and implementation experience of AI Agent solutions Hands-on experience building end-to-end data products based on recommendation technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Communication and leadership experience, with experience initiating, driving and delivering projects Team player, eager to collaborate Preferred Experiences In addition to basic qualifications, would be great if you have… Experience as tech lead or engineering manager (still hands-on) Experience with common dashboarding technology (we use PowerBI for now) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization: Kubernetes & Docker Experience with front-end frameworks such as React or Angular. Knowledge of data visualization using D3.js or Chart.js. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing team Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Infrastructure Specialists at Kyndryl are project-based subject matter experts in all things infrastructure – good at providing analysis, documenting and diagraming work for hand-off, offering timely solutions, and generally “figuring it out.” This is a hands-on role where your feel for the interaction between a system and its environment will be invaluable to every one of your clients. There are two halves to this role: First, contributing to current projects where you analyze problems and tech issues, offer solutions, and test, modify, automate, and integrate systems. And second, long-range strategic planning of IT infrastructure and operational execution. This role isn’t specific to any one platform, so you’ll need a good feel for all of them. And because of this, you’ll experience variety and growth at Kyndryl that you won’t find anywhere else. You’ll be involved early to offer solutions, help decide whether something can be done, and identify the technical and timeline risks up front. This means dealing with both client expectations and internal challenges – in other words, there are plenty of opportunities to make a difference, and a lot of people will witness your contributions. In fact, a frequent sign of success for our Infrastructure Specialists is when clients come back to us and ask for the same person by name. That’s the kind of impact you can have! This is a project-based role where you’ll enjoy deep involvement throughout the lifespan of a project, as well as the chance to work closely with Architects, Technicians, and PMs. Whatever your current level of tech savvy or where you want your career to lead, you’ll find the right opportunities and a buddy to support your growth. Boredom? Trust us, that won’t be an issue. Your future at Kyndryl There are lots of opportunities to gain certification and qualifications on the job, and you’ll continuously grow as a Cloud Hyperscaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical And Professional Experience Deep expertise within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Enterprise IT application experience Hands-on experience in at least one of the following: software development, DevOps engineering, systems administration, or systems architecture in public cloud AWS domain In-depth knowledge of Windows and Linux Operating Systems Must have experience driving for engineering solutions and working across teams Extensive experience and judgment to plan and accomplish goals Ability to apply general rules to specific problems to produce conclusions and responses. Ability to communicate effectively, both verbal and written Strong process improvement experience Preferred Technical And Professional Experience In depth knowledge of Amazon cloud hosting architecture with experience with AWS and Azure is a bonus Exceptional judgment and decision-making abilities Familiar with a variety of IT concepts, practices, and procedures Knowledge of design techniques, tools, and principals involved in production of precision technical plans, blueprints, drawings, and models Logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems Strong analytical and problem-solving skills with high attention to detail Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: The Portfolio Support SME is responsible for delivering, improving, and helping to oversee all end-user services functions across a particular portfolio. The ideal candidate needs to possess strong work management skills and have advanced technical knowledge of the platform/tools they support. The applicant must be able to motivate people, encourage teamwork, and communicate effectively with senior management and portfolio leaders. It is expected that individuals in this role are extremely responsive to the needs of their assigned portfolios and the underlying support team. Responsibilities: Manage the delivery of high-quality service & support for the assigned portfolio. End to end operational focus - Application, Productivity, Utilization, Quality, Incident, Problem & Service Levels Work with the portfolio teams to bring the operations in-line with the target state operating model Provide technical guidance and mentorship to the team supporting the portfolio Manage and plan accordingly for onboarding new applications, releases and changes in scope, including on-boarding and training the relevant teams. Escalation points for support issues, service deficiencies and training as well as leading the implementation of service improvement tasks for support teams. Formulate, coordinate and/or track remediation plans arising from critical production issues, including reporting to leadership. People development, high performance leadership and motivation of team members Support selection of new team members and education according to agreed plan Collaborates with stakeholders to ensure that execution is aligned with deliverable requirements Mandatory skill sets: • The ideal candidate will have strong technical knowledge of the Adobe Experience Manager (AEM) platform Experience supporting Adobe Digital Asset Manager (DAM) integrating with Adobe Sites and enterprise asset management solutions Hands-on experience supporting AEM sites, DAM, templates, components, dialogs, workflows, models, and services Proven knowledge supporting and troubleshooting integration with third party and other Adobe solutions using REST APIs and CDN caching strategies Expertise with AEM Multi Site Manager and security best practices Proficiency with Akamai CDN solutions, including hands-on experience with managing Akamai configurations and the ability to both diagnose and resolve issues related to content delivery, caching, and security policies within the Akamai platform Preferred skill sets: Ability to work in a deadline-driven environment while handling multiple projects/tasks simultaneously with a focus on details Strong analytical, facilitation, documentation, presentation, and communication skills Proven knowledge in breaking down high level objectives into discrete, measurable tasks with estimates of development effort for planning purposes Strong business process mapping skills Ability to lead and facilitate client workshops and sessions Comfortable engaging with clients on multiple implementations at the same time Excellent interpersonal and customer relationship skills Strong analytical, problem solving, facilitation, documentation, and communication skills Ability to effectively manage a diverse project team and escalate performance issues to department leadership Strong knowledge of solution implementation methodologies Years of experience required: 4 years of experience Education qualification: Bachelor’s degree in information technology Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Adobe Experience Manager (AEM) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

About the role Refer to Responsibilities You will be responsible for Job Summary: To support the Tesco Merchandisers with Order confirmations to enable raising of accurate and on time Purchase orders by partnering with suppliers and play a crucial role in supporting the merchandising team to ensure the successful planning, development, and execution of product assortments. In this job, I’m accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work - Consulting the Merchandising managers and raising the Order confirmations based on negotiations and initiate them with the supplier - Assist in maintaining optimal stock levels by monitoring inventory turnover and replenishment needs - Analyse sales data and trends to identify best-selling and underperforming products on weekly basis - Communicate with suppliers and vendors to track order status, lead times, and delivery schedules - Participate in assortment planning meetings and provide input on product selection, assortment composition, and assortment range - Assist in setting competitive pricing based on market research and profit margin objectives - Generate purchase orders and work with the Ordering team to ensure timely product replenishment - Maintain accurate records of inventory levels, sales data, and supplier communications. - Generate regular reports and provide insights to the merchandising team - Responsible for uploading order confirmations and exporting Purchase orders into various Tesco systems and investigate PO failures and drive on time resolution -Assist Merchandising Managers with data and insights around the purchase orders raised and their statuses to enable them with effective stock planning Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job: erchandising Planning Managers, Sourcing hubs, Suppliers, IT NA support teams, Assistant Merch Planners Operational skills relevant for this job: Experience relevant for this job: Planning and Organizing, Collaborating & Partnering, Ownership Any graduate with Merchandising/supply chain experience (1 & Accountability, Logical Reasoning, Analytical Ability, Analyses year) would be preferred and Judgement, Numeracy Skills, Stakeholder management and Proficient Written and Verbal Communication Skills You will need Refer to Responsibilities Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

About the role Refer to Responsibilities You will be responsible for Job Summary: To support the Tesco Merchandisers with Order confirmations to enable raising of accurate and on time Purchase orders by partnering with suppliers and play a crucial role in supporting the merchandising team to ensure the successful planning, development, and execution of product assortments. In this job, I’m accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work - Consulting the Merchandising managers and raising the Order confirmations based on negotiations and initiate them with the supplier - Assist in maintaining optimal stock levels by monitoring inventory turnover and replenishment needs - Analyse sales data and trends to identify best-selling and underperforming products on weekly basis - Communicate with suppliers and vendors to track order status, lead times, and delivery schedules - Participate in assortment planning meetings and provide input on product selection, assortment composition, and assortment range - Assist in setting competitive pricing based on market research and profit margin objectives - Generate purchase orders and work with the Ordering team to ensure timely product replenishment - Maintain accurate records of inventory levels, sales data, and supplier communications. - Generate regular reports and provide insights to the merchandising team - Responsible for uploading order confirmations and exporting Purchase orders into various Tesco systems and investigate PO failures and drive on time resolution -Assist Merchandising Managers with data and insights around the purchase orders raised and their statuses to enable them with effective stock planning Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job: erchandising Planning Managers, Sourcing hubs, Suppliers, IT NA support teams, Assistant Merch Planners Operational skills relevant for this job: Experience relevant for this job: Planning and Organizing, Collaborating & Partnering, Ownership Any graduate with Merchandising/supply chain experience (1 & Accountability, Logical Reasoning, Analytical Ability, Analyses year) would be preferred and Judgement, Numeracy Skills, Stakeholder management and Proficient Written and Verbal Communication Skills You will need Refer to Responsibilities Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

About the role Refer to Responsibilities You will be responsible for Job Summary: Work on Tesco Online systems to maintain effective van and slot scheduling and recommend and support Online capacity. In this job, I am accountable for: - Following our Business Code of Conduct and always acting with integrity and due diligence - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed critical metrics - Delivering operational critical metrics at the encouraged quality and accuracy levels by adhering to the quality framework - Keeping self up to date with process change - Recommending and implementing changes on Tesco's Scheduling System to support online growth - High degree of online competence to suggest and enable effective order scheduling and fleet operations - Setup New Dotcom Departments in existing stores by collaborating with Stores, GHS country teams and Technology teams - Analyze, Recommend and Implement changes for seasonal activities - Analyze and Recommend van requirement for shops - Be involved in Online growth plan by optimally participating in different projects - Perform regular checks on the system to ensure settings are accurate Key people and teams I work People, budgets and other resources with in and outside of Tesco: I am accountable for in my job: - In-store Dotcom Teams - Market NA - GHS Office Teams - Bengaluru & Market - In-store Picking (Technology) - Bengaluru & Market - Transport,Tracking (Technology) - Bengaluru, Market Operational skills relevant for this job: Experience relevant for this job: Adv MS Office - Excel, Word - Experience in Online Operations preferred Eye-to-Detail Speed and Accuracy Planning and Organising Basic Numeracy skills Basic Logical Reasoning Basic Data Management/SQL/Query You will need Refer to Responsibilities Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Website address - https://www.syngentagroup.com/ Job Description Role purpose The Technical Lead is an experienced senior level developer with a background in systems management, agile methodology and operational ready products (DevOps). The role will be responsible for the development of our Data Science and ML Ops Platform and providing knowledge on efficient development practices, with proficiency in Full-Stack development. Managing and developing teams is a key success factor for the role, as well as effective stakeholder management and interacting with agronomists and product owners. Knowledge, Experience & Capabilities Very strong understanding of Full-Stack development using ReactJS and either Python, Java, or Node.js Very strong understanding SQL and NoSQL databases Very strong understanding of automation and CI/CD (test and build automation) Good understanding of designing RESTful APIs Good understanding of Micro-service architectures and Containerization Good understanding of cloud architectures, including AWS Experience working with Agile methodology Prior experience managing or leading a team Experience working with ML Ops frameworks Critical success factors & key challenges Strong algorithm design, logical and reasoning skills Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background Problem solving and decision making skills Teamwork, team management and leadership skills Innovations Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: LinkedIn LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions Knowledge about the concepts of data lake and dat warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. Deploy and configure components to production environments Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQL Mandatory skill sets: AWS Data Engineer Preferred skill sets: AWS Data Engineer Years of experience required: 4-8 Education qualification: Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AWS Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Website address - https://www.syngentagroup.com/ Job Description Role purpose The Technical Lead is an experienced senior level developer with a background in systems management, agile methodology and operational ready products (DevOps). The role will be responsible for the development of our AI Innovation Platform and providing knowledge on efficient development practices, with proficiency in Full-Stack development. Managing and developing teams is a key success factor for the role, as well as effective stakeholder management and interacting with agronomists and product owners. Accountabilities Lead the design and architecture of the AI Innovation Platform ensuring scalability, maintainability, and performance. Collaborate with development teams to understand requirements and provide architectural guidance and support. Define and promote best practices for software engg development utilizing AI helping to upskill our teams with new design and architectural patterns. Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact. Work closely with Product and Business stakeholders to understand the needs of the business and engineering teams ensuring the platform meets the needs of the users. Define implementation approaches, algorithms, and code structures to meet requirements. Architect experience and responsibility includes defining, prototyping and recommending the technology solutions, detailing the implementation design and identifying interfaces with other products for integration. Derive architecturally significant software requirements both functional and quality attributes. Technical discussions with project partners in globally distributed team. Knowledge, Experience & Capabilities Very strong understanding of Full-Stack development using ReactJS and either Python, Java, or Node.js Very strong understanding SQL and NoSQL databases Very strong understanding of automation and CI/CD (test and build automation) Good understanding of designing RESTful APIs Good understanding of Micro-service architectures and Containerization Good understanding of cloud architectures, including AWS Experience working with Agile methodology Prior experience managing or leading a team Critical success factors & key challenges Strong algorithm design, logical and reasoning skills Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background Problem solving and decision making skills Teamwork, team management and leadership skills Innovations Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: LinkedIn LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

"Positions General Duties and Tasks: Process Insurance Claims timely and qualitatively Meet & Exceed Production, Productivity and Quality goals Review medical documents, policy documents, policy history, Claims history, system notes and apply the trained client level business rules to make appropriate Claims decisions, call out claims trends and flag fraud activities Analyze customer queries to provide timely response that are detailed and ordered in logical sequencing Cognitive Skills include language, basic math skills, reasoning ability with excellent written and verbal communication skills Stay up to date on new policies, processes, and procedures impacting the outcome of Claims processing Continuous learning to ramp up on the knowledge curve to be the SME and to be compliant with any certification as required to perform the job Be a team player and work seamlessly with other team members on meeting customer goals Developing and maintaining a solid working knowledge of the insurance industry and of all products, services and processes performed by Claims function Handle reporting duties as identified by the team manager Handle claims processing across multiple products/accounts as per the needs of the business Requirements for this role include: Both Under Graduates and Post Graduates can apply. Excellent communication (verbal and written) and customer service skills. Able to work independently; strong analytic skills. Detail-oriented; ability to organize and multi-task. Ability to make decisions. Required computer skills: must have experience with data entry and word processing, possess a working knowledge of MS Office applications, and understand how to navigate through web-based applications. Demonstrate strong reading comprehension and writing skills. Cognitive Skills include language, basic math skills, reasoning ability and verbal communication skills. Ability to work in a team environment. Handling different Reports - IGO/NIGO and Production/Quality. To be in a position to handle training for new hires Work together with the team to come up with process improvements Strictly monitor the performance of all team members and ensure to report in case of any defaulters. Encourage the team to exceed their assigned targets. Candidate should be flexible & support team during crisis period Should be confident, highly committed and result oriented Experience on working in an office environment set up utilizing Windows PC applications that required you to use a keyboard, navigate screens, and learn new software tools Experience in a professional/office related role that required you to communicate (oral/written) effectively with internal team members and external customers Experience in a role that required a focus on quality including attention to detail, accuracy, and accountability for your work product Candidate should be flexible to work from home and office environment. Broadband connection is must while working from home. Preferences for this role include: 5+ years of experience processing insurance claims in the health, life, or disability disciplines that required knowledge of CPT, HCPCS, ICD9/10, CDT. 2+ year(s) of experience in role that required understanding and interpreting complex documents such as medical records and legal contracts. Required schedule availability for this position is Monday-Friday 6PM/4AM IST. The shift timings can be changed as per client requirements. Additionally, resources may have to do overtime and work on weekend’s basis business requirement."

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Position Overview Job Title: Data Automation Engineer, AS Location: Bangalore, India Role Description KYC Operations play an integral part in the firm’s first line of defense against financial crime, reducing the risk of working with new clients (primarily Know Your Customer (KYC) risk), whilst ensuring client relationships are on-boarded and maintained efficiently. KYC Operations provide a golden source of quality reference data for CIB, underpinning the firm’s key Regulatory, Control & Governance standards. Within KYC Operations there is a dedicated global group KYC Transformation that drives end-to-end-delivery. Our teams’ partners with stakeholders in and outside of KYC Ops to ensure our processes are fit for purpose, follow a uniform standard and continuously improving our processes thereby adding a quantifiable value to support colleagues and clients in a flexible, fast and focused manner. As a Data Automation Engineer, you will build fast solutions to help Operations and other parts of the bank deliver their highest value, removing repetitive tasks, building strategic data pipelines, ensuring automation is robust and stable using solutions incl. Python, VBA, MS Power platforms (Power Automate, Power Apps, Power BI), SQL and Share Points. Our approach is to ensure the solution can be merged into strategic tooling and fits the technology design process standards. We are looking for an enthusiastic and motivated person with excellent communication skills to join our team. You will love working with us and see the value in helping people by delivering effective solutions that make a positive impact on your colleagues’ workload. You will be curious and able to quickly absorb organizational complexity, regulatory requirements, and business logic, translating that structure into your work. This role will offer a fantastic opportunity to join one of the most prestigious financial organisations operating all over the globe, and you will gain amazing experience. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Work with stakeholders to identify opportunities to drive business solutions and improvements Automate manual effort, providing tactical solutions to improve speed and value. Work in an agile way to deliver proof of concept and fast solutions using the appropriate technologies appropriate to the problem statements and requirements Enhance personal and team network to ensure cooperation yields efficiencies, for example sharing of solutions to a wider team, re-using existing solutions, enhancing solutions to have a wider and more beneficial business impact Your Skills And Experience Analyse, design, develop, test, deploy and support Digital services software solutions Exposure to ETL technologies and methods Expertise in coding/ programming in Python, VBA, and SQL skills to extract data sets efficiently Experience in developing business solutions in any of MS power Apps, MS Power Automate or RPA Excellent spatial reasoning and ability to see view process and data in two or three-dimensions. Process Mapping, Process Re-engineering & Data orientated with experience in enterprise process modelling for current and future state. The ability to generate innovative ideas and deliver effectively, highlighting blockers if needed. Exposure to workflow solutions, Alteryx, Pentaho, Celonis, linux and database tuning are desirable Documenting solutions (i.e., Creation and upkeep of artefacts - Requirement Docs, SDDs, Test Scripts, JIRA tickets, KSD - post go live) Provide L1 support to the existing RPA solution, resolve the issues with minimum TAT to ensure business resiliency Competencies: Work alongside Solutions Architects, Business Analysts and BOT controlling to contribute with solution designs Highly organized with a keen eye for detail and proven record operating in a fast- paced environment Ability to work independently and as part of the team with an enterprising spirit and a passion to learn and apply new technologies. Excellent communication skills with ability to converse clearly with stakeholders from all cultures Ability to work well in a global and virtual team, under pressure and multi-task Behavior Skills Excellent communication skills with ability to converse clearly with stakeholders from all cultures Ability to work well in a global and virtual team, under pressure and multi-task Desire to work in a fast paced, challenging environment Self-motivated, independently, fast thinking, dynamic with exposure to internal and external stakeholders How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Company Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications Job Description seeking a highly motivated and experienced Technical Account manager/Engagement lead. In this customer-facing role, candidate will be responsible for overseeing the successful delivery and services assurance support lifecycle for services (Managed Hosting , Public cloud , Managed security services, Managed connectivity like MPLS, ILL , End user support etc) offered to end customer directly at our client's locations. You will be the primary point of contact for our clients, ensuring enhanced customer experience & may also need to work from customer location if required. Responsibilities Manage the Technical post-sales relationship for accounts. Serve as the primary technical client contact and advocate for day to day and escalated issues and requests Establish and maintain customer satisfaction across accounts through account planning, proactive client communications, issue remediation and containment, and performance measurement. Protect existing revenue streams, additional revenue generation. Actively farm existing account base to identify new solutions or service opportunities. Provide valuable account information and insight to support the sales force. Build and execute an account specific relationship framework inclusive of regularly schedule status calls, quarterly business reviews, account documentation, reference management and account planning sessions. Leverage internal subject matter experts to help customers optimize their investment, ensure program objectives are being met and measure the value of the solution to their organizations. Coordinate activities and provide leadership on directions of key projects, initiatives and issues across internal business unites. Conduct regular briefings on account status to senior management and other internal stakeholders. Responsible for Capacity reports, Risk tracking & Service Improvement plans for managed accounts Preparing a POA & Leading Major activity e.g. DC – DR drill, Handover post deployment Regularly phase out Service Improvement plans (Technical & Process) to customer & maintain a related tracker Should also be able to drive related Customer Project deliverables. Should be able to do customer Architectural review with a expected expertise area on Linux , Windows , Middleware May need to work from customer location ( if business demands ) Tracking Inventory including licenses SLA reconciliation and resolving associated billing disputes. Support, Revenue enhancement through accelerated deliveries. Lead internal transition projects Desired Skill sets & requirement Total Experience of 12 to 15 years with 4+ years’ experience in Technical account management/Technical client relationship supporting/Engagement Lead ( single point of contact ) Experience with Virtualization, clustering Exposure on Public Cloud ( Azure Or AWS ) with mandatory Expert Certification Exposure to Firewalls, Proxies (physical and cloud), IDS / IPS. Exposure to SIEM, Zscaler. Exposure to UCC/IP telephony, MPLS, ILL Technical understanding of Linux operating systems Technical understanding of Storage and Backups Experience on License management Understanding of emerging Information Security trends and position for customers. Excellent analytical and problem-solving skills. Excellent logical reasoning to assess technical issues. Capacity Management for customer infrastructure and services. Risk Identification and tracking for Customer infra & SOP preparation Leading customer calls ( especially to front end P1 incidents ) Experience on Public Cloud and getting into conclusion on the purpose of the call. Ability to audit customer infrastructure and suggest improvements. Ability to forecast churn and upgrades for account base. Ability to tailor message formats and contents to the audience and get heard. Ability to manage multiple initiatives simultaneously. Comfortable dealing with complex customer relationships, decision processes and competing agendas Ability to travel for customer meeting/service reviews. Preferred BE, Btech or MCA,

Responsibilities Indicative years of experience: 5+years Role Description Develop, test and maintain applications with established processes while building holistic understanding of the underlying applications and domain Reporting Relationship This role will report to Delivery Manager / Senior Delivery Manager Key Responsibilities Develop and maintain technical designs based on requirements Develop application code for programs while following coding standards Develop and execute unit tests Complete Analysis & documentation as required by the project Support application testing and resolve test defects Report status updates as required by the project Follow established project execution processes Resolve queries/issues and provide Application/functional support to peers & juniors Build holistic understanding of applications & underlying domain being supported Knowledge sharing Other Key Skills Software Engineer/Sr. Software Engineer with experience in technical skills like SQL Server, API, PostgreSQL, Linux, Lambda, ReactJS, NodeJS, Typescript, Python, AWS Glue. AWS API Gateway, Redis, ECS, ECR, CloudFront, GitHub Actions, CDK Scripting. Able to communicate & coordinate with teams effectively. Good in analysis and troubleshooting. Knowledge on Asset Management, different Fund types, end to end business flow in Asset Management process is preferred. Should be able to work according to MY time zone (9:00 AM MYT - 6:00 PM MYT) i.e. 6:30 AM IST - 3:30 PM IST and adhoc support if needed. Qualifications Must Have Education : GraduateBachelors degree (any stream) Other Strong technical skills. Knowledge of SDLC. Good aptitude, positive attitude, strong reasoning and communication skills. Must be a good team player. Good analytical skills, research oriented. Sound knowledge of Principal Financial Group specific application. Ability to resolve questions/issues related to the application as a Subject matter expert, ability to communicate with various stakeholders. Competencies Make sound business decision Embrace Change Build strong Partnership Get results Act Strategically Lead Cultivate Talent

We are a rising EdTech platform focused on delivering high-quality, engaging, and relatable learning experiences for students preparing for Banking and SSC exams across Kerala. Our unique approach combines content in Manglish (Malayalam + English) to bridge learning gaps and reach every student effectively. We are hiring for the following subjects: 1. Quantitative Aptitude (Banking + SSC) 2. Reasoning Ability 3. English Language 4. General Awareness / Current Affairs 5. Banking Awareness / Financial Aptitude 6. Static GK & Polity (SSC focus) 7. Computer Awareness (Optional) Roles & Responsibilities: Deliver engaging recorded/live classes in a clear, conceptual manner (preferably in Manglish) Design and structure curriculum as per exam patterns (IBPS, SBI, SSC CGL/CHSL) Prepare high-quality MCQs, practice questions, notes, and mock tests Solve doubts and provide mentorship when needed Contribute to content on YouTube & social media (optional but appreciated) Eligibility Criteria: Graduate/Postgraduate in relevant subjects Minimum 1 year of teaching experience in competitive exam coaching (Bank/SSC) Strong communication skills in Malayalam + English (Manglish) Familiarity with online teaching tools, whiteboard, and screen sharing Passionate about helping students succeed Salary/Compensation: Full-Time: ₹20,000 – ₹60,000/month (based on experience & subject) Freelance/Per Lecture: ₹500 – ₹1500 per session Content-based work: Attractive pay per mock/test/PDF Perks: Flexible work options (remote or studio) Recognition on social media & YouTube channels Growth opportunities in a fast-scaling EdTech startup Mentorship & content creation roles available How to Apply: Send your resume and a 2-minute demo video (any topic) to: deepaedacademia@gmail.com Job Types: Full-time, Part-time, Permanent Pay: ₹20,000.00 - ₹70,000.00 per month Language: English (Preferred) Work Location: In person Expected Start Date: 15/08/2025

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 Data 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. About the Company - We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. 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. About the role We’re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. Expert-level knowledge of SQL with strong data exploration and manipulation skills. Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Creative problem-solver who simplifies problems to their core elements. B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. 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.

Analyst - Splunk Engineer - Deloitte Cyber Defense India Private Limited Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization. Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived. Want to make an impact that matters? Consider Deloitte Global. Qualifications Bachelor’s degree in Computer Science or Business Administration, or relevant educational or professional experience. 6 years of related experience including 4 to 5 years in Splunk Administration. Strong Working Knowledge of the Splunk and Cribl Platform. Ability to troubleshoot performance and issues, as well as installation and Splunk upgrades Strong experience in analyzing, troubleshooting and providing solutions for technical issues. Experience with Splunk Enterprise Security. Experience in Syslog, Splunk HTTP Event collection (HEC). Experience in ingesting logs from DB Connect app. Creating Alerts, Dashboards and reports in Splunk Tool. Writing Scripts and configure in Splunk Servers. Experience with Splunk integration to AWS, Azure, and GCP. Knowledge and experience in GIT. Experience in requirement gathering and documentation. Experience in Log parsing, lookups, calculated fields extractions using regular expression(regex). Hands-on Experience in Cribl Sound judgment skills and ability to manage escalations. Determines methods and procedures on new assignments with minimal instruction, Excellent interpersonal and organizational skills. Work shift Timings : 11 AM to 8 PM Location: Hyderabad, India or Bangalore, India or Pune, India Roles & Responsibilities Provide proficient knowledge of recognizing and onboarding new data sources into Splunk, analyzing the data for parsing purposes to make it CIM compliant. Provide skillful knowledge on Cribl as we are heavily working on Cribl for data ingestion. Work with other Cybersecurity Engineering team members and will be required to interact with end users to gather requirements, perform troubleshooting, and aid with the creation of Splunk search queries and dashboards as required. Will be required interact with senior management, as necessary. Troubleshoot performance alerts from the Splunk infrastructure or Splunk agents Assist in the testing of vendor patches for all security applications the Engineering team operational support. Maintain the Cybersecurity Engineering group in ServiceNow and ensure all request and incident SLA’s as met as required by our stakeholders. Document and update the Team’s process and Data Ingestion procedures. Actively seek to improve and develop new content based upon observed security activity Provide excellent customer service, as we will be required to interact/work with other teams to complete our daily tasks. The team At Deloitte, we’re all about collaboration. And nowhere is this more apparent than among our 2,000-strong internal services team. With our combined specialist skills, we provide all the essential support and advice our client-facing colleagues need, right across the firm. This enables them to focus all of their efforts on delivering the best service possible to their clients. Covering seven distinct areas; Human Resources, Clients & Industries, Finance & Legal, Practice Support Services, Quality & Risk Services, IT Services, and Workplace Services & Real Estate, together we live, breathe and deliver the Deloitte experience Skills/abilities : Experience with process creation, enhancement, and implementation. Strong understanding and experience with Splunk. Understanding of Cloud Services – Azure, AWS. Understanding of Splunk data onboarding processes. Experience working with a strict change control process utilizing tools such as Azure DevOps. Knowledge of networking, firewalls, load balancers etc. Good communication skills and the ability to work appropriately with technical and nontechnical teams. Good influencing and reasoning skills; good at conflict resolution and consensus building. Preferred: Splunk Admin Certification Cribl User Certification Obtained an industry certification e.g. CISSP, GIAC, CISM Experience in working in a large global organization How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. 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: 305679

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. Build the Future of Data, Analytics, and AI with Teradata Are you driven by the challenge of shaping the future of database technologies, analytics, and AI—whether in the cloud, on-premises, or hybrid environments? At Teradata, we invite you to be part of a visionary team that’s redefining the landscape of intelligent data platforms. We are actively hiring talented engineers who are passionate about building world-class products and solving complex data and analytics challenges. Join our India Development and Excellence Centre and contribute to innovations that empower global enterprises. Analytics and AI Team Our Analytics and AI team leads the charge in delivering next-generation capabilities within Teradata’s unified data platform. We’re pioneering technologies such as: Enterprise-grade databases for RAG-based AI applications and intelligent agents In-database analytics functions and BYOM (Bring Your Own Model) deployment SQL-based generative AI and Agentic AI systems that combine reasoning, retrieval, and orchestration at scale We are building intelligent, production-ready analytics that allow users to move effortlessly between traditional data processing and advanced AI workflows—all within the trusted, governed environment of Teradata VantageCloud . At Teradata, we don’t just manage data—we unlock its full potential through the power of AI and ML. As a key contributor, you’ll help architect, build, and deploy transformative software solutions that are central to our strategic vision and global impact. Data Platform & Query Optimization Team Our Core Database Engineering team is focused on developing cloud-native database features that support distributed query processing, autoscaling, and high availability. We’re building systems that are: Highly performant, secure, and reliable for large-scale analytical workloads Powered by elastic compute clusters for high concurrency and scalability Designed with advanced storage and retrieval mechanisms across diverse data sources Enterprise-grade databases for RAG-based AI applications and intelligent agents The Query Optimizer Team is the brain behind efficient data access. From cost-based plan selection and join reordering to adaptive execution and cardinality estimation, we fine-tune every aspect of query planning to ensure optimal performance at scale. If you’re passionate about performance, this is where the magic happens. AI-Powered Test Automation As we deliver AI to our customers, we also harness its power internally to enhance our development lifecycle. Our AI-based test automation initiatives focus on: Building autonomous and agentic systems that analyze billions of test events Identifying root causes of failures and accelerating release decisions Experimenting with LLMs, vector stores, and multi-agent orchestration frameworks to evolve testing from passive verification to proactive, self-healing quality assurance Why Teradata? At Teradata, you’ll work with some of the brightest minds in the industry, tackle meaningful challenges, and help shape the future of data and AI. Whether you're passionate about analytics, cloud engineering, AI systems, or performance optimization— there’s a place for you here . #LI-NM1