2167 Clustering Jobs - Page 29

Job Description Position: AI Architect -PERMANENT Only Experience: 9+ years (Relevant 8 years is a must) Notice Period: Immediate to 45 days Key Skills: Python, Data Science (AI/ML), SQL Location- TVM/Kochi/Hybrid Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position Reports To Head of Advanced Analytics and AI Your Role And Responsibilities In this role, you will have the opportunity to collaborate with key stakeholders to develop, implement, and facilitate successful onboarding of digital solutions and the adoption of digital platform and solutions into the customer business environment along with their subsequent operations and maintenance. The work model for the role is: Onsite, Hybrid This role is contributing to the ABB Business in Bangalore. You Will Be Mainly Accountable For Lead the end-to-end delivery of analytics solutions, from problem definition and data exploration to model development and presentation of results. Partner with senior leaders and subject matter experts to understand their business objectives, challenges, and opportunities, and translate them into actionable analytics questions and hypotheses. Work with data scientists and experts to apply advanced analytical techniques, such as statistical modeling, machine learning, optimization, simulation etc., to generate insights and recommendations that address business needs and add value. Communicate complex analytical findings and recommendations in a clear and compelling way to diverse audiences, using data visualization, storytelling, and business acumen. Manage demand, delivery and value creation and build strategic long-term plans for analytics within the domain/area you partner with. Mentor and coach junior business analysts and data scientists and foster a culture of collaboration and learning within the team. Qualifications For The Role MBA or Bachelor's/master’s degree in a quantitative discipline, such as mathematics, statistics, engineering, computer science, economics or finance. 5+ years of relevant experience in business analysis, data science, or consulting, preferably in a manufacturing/engineering or related industry. Familiarity in one or more programming languages, such as Python, R and knowledge in one or more data platforms and tools, such as AWS, Azure, Tableau, Power BI, or Qlik. Strong analytical mindset and knowledge of various analytical techniques, such as regression, classification, clustering, time series, optimization, simulation, generative AI, etc., and ability to apply them to real-world problems. Excellent communication and demonstrated leadership skills. Deep knowledge and expertise in one or more functional areas, such as finance, operations, sales and account management, supply chain etc. is desirable. More About Us ABB Finance is a trusted partner to the business and a world-class team who delivers forward-looking insights that drive sustainable long-term results and operates with the highest standards. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning. 93486069

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the implementation of large language models in AI applications. - Research and apply cutting-edge AI techniques to enhance system performance. - Contribute to the development of innovative AI solutions for complex business challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education

Management Level: - Ind & Func AI Decision Science Consultant – Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Role Overview We're looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas, NumPy, Matplotlib, and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development : Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn, XGBoost, LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS, Azure, or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL : PostgreSQL, MySQL NoSQL : MongoDB, Redis ORM : Django ORM, Skills : Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs, transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education: B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience: 3-6 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams (ref:hirist.tech)

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 tecahnology 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: Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, predictive analytics, decision trees, support vector machines, neural networks / Deep Learning, video and image analytics · Strong understanding of linear algebra, optimization, probability, statistics, computer architecture, OS, Networking · Strong hands-on experience in building end-to-end AI and Machine learning models - Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice recognition). · Hands-on experience in exploratory data analyses, data-cleansing, data- wrangling and pre-processing · Strong hands-on experience in Python and other statistical tools (including data visualization techniques) on standalone or cloud applications · Experience with Machine Learning Algorithms, frameworks like Caffe, Tensor Flow, H2O and Convolution Neural Network Architectures (SSD, YOLO) performing real-time Object detection and classification is a must . · Sound understanding of GenAI concepts like LLM, Langchain , RAG Framework, tokens, vector databases etc. · Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. · Proven experience in developing and deploying generative AI models. · Development experience using Python Web Framework (Flask, Django), Python Data Science framework (scikit-learn, SparkML ), API Management framework · Development experience in building Cloud based solutions using AWS/Azure/GCP · Ability to learn new scripting language or analytics platform · Exposure to data visualization tools such as PowerBI , Tableau, etc. · ML Ops, ML Deployment experience (optional) · Exposure to application development tools such as R Shiny (optional) · Full Stack Data Scientist will be preferred · Conduct thorough testing and validation to ensure model reliability and robustness. · Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. · Stay up-to-date with the latest advancements in generative AI and deep learning. · Strong data representation and lucid presentation (of analysis/modelling output) using Power Point, Excel, Streamlit etc. Mandatory skill sets: Data scientist Preferred skill sets: Data scientist Years of experience required : 4 - 8 Education qualification: B. Tech / M.Tech ( Engg .), MBA, M.Sc. / M. Stat/ MS (Statistics / Mathematics) with strong programming knowledge Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science 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

Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsofts AI/ML ecosystem is a strong advantage. What are we looking for Preferred (Strong Advantage):Hands-on experience with Azure Machine Learning Studio and Automated ML.Familiarity with Azure Cognitive Services for vision, language, and decision tasks.Experience working with Microsoft Fabric and Synapse ML integration. Qualifications:Bachelor s or Masters degree in Computer Science, Data Science, Engineering, or related field.23 years of experience in applied machine learning and data science projects.Solid understanding of model training, validation, and deployment workflows.Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have:Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines).Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques.Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs.Perform data preprocessing, feature engineering, and model evaluation.Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models.Analyse and manipulate structured datasets using notebooks (e.g., Jupyter).Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions.Document model performance, data flows, and process pipelines. Qualification Any Graduation

Company Size Startup / Small Enterprise Experience Required 8 - 12 years Working Days 5 days/week Office Location Karnataka, Bengaluru Role & Responsibilities We are seeking a seasoned and experienced Front-End Solution and Technical Architect with expertise in designing and delivering scalable web and mobile first applications. Work Experience in both web and mobile application development to lead the architecture, design and implementation of scalable, user-centric solutions.This role requires expertise in crafting seamless user experiences for mobile-first applications while ensuring compatibility across multiple platforms and devices. This role combines technical leadership, architectural design, and hands-on implementation to build cutting-edge solutions with geospatial capabilities for interactive and dynamic user experiences.This role demands a strong understanding of front-end technologies, frameworks, and best practices for web/mobile platforms and mobile-first principles. Establish a sustainable front-end ecosystem that empowers teams to deliver high-quality applications efficiently while maintaining consistency and performance. You will be leading and responsible for defining the technical direction, mentoring front end development teams, and ensuring high-quality delivery of projects. Key Responsibilities- Architecture and Technical Design: Define and implement scalable, secure, and maintainable front-end architectures for web and mobile platforms. Design and integrate mapping solutions, including features such as geocoding, routing, clustering, and custom overlays. Develop cross-platform solutions using modern frameworks like React.js and React ecosystem. Experience and Exposure to React Native, Flutter, or Angular will be an added advantage. Promote the adoption of autonomous development principles, enabling teams to work independently while adhering to shared architectural standards. Establish best practices for front-end development, including component-based design and dependency management. Technical Leadership Define and drive the architectural vision for mobile-first front-end solutions. Collaborate with product managers, UX/UI designers, and backend teams to ensure a cohesive system design. Lead the technical direction of front-end development teams, ensuring alignment with architectural principles and best practices. Mentor and guide developers in advanced front-end and map integration techniques. Review and approve technical designs, implementation plans, and code for quality and performance. Mobile-First Strategy Design and implement responsive, touch-friendly user interfaces optimized for mobile devices. Ensure performance optimization for low-bandwidth networks and mobile platforms. Front-End Development(Reusable Component Development) Proven experience in designing and maintaining shared component libraries. Build and maintain a centralized library of reusable components for mobile and web platforms. Ensure components are modular, accessible, and compatible across frameworks like React.js, React Native. Work closely with design teams to align components with design systems and branding guidelines. Optimize components for performance, scalability, and usability. Integrate front-end solutions with APIs and backend services. Dependency Management Define and enforce strategies for managing third-party libraries and frameworks. Automate dependency updates, vulnerability scanning, and risk mitigation. Minimize risks associated with dependency conflicts and breaking changes through version control and proper dependency selection. Regularly review and optimize the dependency footprint to reduce bundle sizes and improve application performance. Autonomous Development Enablement Foster an environment where teams can work autonomously by providing well-defined architectural patterns, guidelines, and reusable resources. Implement tools and processes that support decentralized decision-making while maintaining architectural integrity. Establish communication channels for knowledge sharing and issue resolution across teams. Build And Deployment Optimization Design and implement efficient build pipelines for web and mobile applications using tools like Webpack, Metro, Vite, or Rollup. Knowledge of containerization tools like Docker for setting up development environments. Familiarity with CI/CD tools for automated builds and deployments (e.g., Jenkins, Gitlab CI). Collaborate with DevOps teams to create CI/CD pipelines that streamline testing, building, and deployment processes. Ensure smooth deployment of mobile applications (e.g., via App Store, Play Store) and web applications (e.g., CDNs, edge networks). Knowledge of cloud platforms (AWS, GCP, Azure). Map Integration Expertise Implement advanced mapping features using APIs such as Google Maps, HERE Map, or similar mapping libraries. Build interactive maps with features like real-time location tracking, dynamic markers, polygons, and heatmaps. Ability to implement features like geocoding, directions, custom markers, clustering, and overlays. Ensure maps are optimized for performance, responsiveness, and seamless user interaction across devices. Collaboration And Solution Delivery Evaluate technical requirements and provide detailed implementation roadmaps. Collaborate with stakeholders to translate business needs into technical specifications. Manage timelines and deliverables for front-end development projects. Work closely with UI/UX designers to deliver intuitive and visually appealing interfaces with integrated map components. Collaborate with back-end teams to define data structures and API contracts for geospatial data. Partner with stakeholders to ensure technical solutions align with business objectives and customer needs. Performance Optimization Optimize web and mobile applications for speed, scalability, and resource efficiency, particularly for map-heavy interfaces. Use techniques such as lazy loading, caching, and clustering to handle large datasets on maps. Testing And Quality Assurance Ensure the delivered product is reliable, maintainable, and provides a high-quality user experience. Establish and enforce coding standards, best practices, and documentation. Optimize front-end performance using techniques like lazy loading, asset compression, and code splitting. Incorporate a comprehensive testing strategy, from unit tests to end-to-end (E2E) tests, as well as continuous monitoring for performance, security, and accessibility. Define and implement testing strategies for map features, including edge cases for geospatial data. Use tools like Jest, Cypress, Detox, and Appium for automated testing of web and mobile platforms. Strong debugging skills using tools like Chrome DevTools, React DevTools, and mobile debugging environments. Security And Accessibility Implement secure practices for handling sensitive application data (e.g., token-based authentication for API calls). Ensure map and application interfaces comply with accessibility standards. Architectural Knowledge Strong understanding of component-based architecture, micro-frontends, Modular development and cross-platform solutions. Knowledge of Server-Side Rendering (SSR), Static Site Generation (SSG), Backend for frontend (BFF) and Progressive Web Applications (PWAs). Familiarity with integrating geospatial data services (e.g., GeoJSON, shapefiles) and APIs. Experience with monorepos. Strong knowledge of responsive design principles and mobile-first development. Familiarity with RESTful APIs, GraphQL, and headless CMS integrations. Ideal Candidate 8+ years of experience in front-end development, with at least 3–5 years in technical/architectural leadership roles across web and mobile platforms. Expert in React.js and React Native, with hands-on experience designing and building scalable, modular applications using modern front-end frameworks and reusable component libraries. Strong geospatial capabilities—proven experience integrating and optimizing mapping solutions (e.g., Google Maps, HERE Maps) with features like routing, clustering, and overlays. Mobile-first mindset, with deep knowledge of responsive UI design, performance optimization for low-bandwidth environments, and cross-platform compatibility. Architectural expertise in modular design, micro-frontends, SSR/SSG, PWAs, and cross-platform solutions—ideally with experience in monorepo environments and BFF patterns. Technical leadership skills, including mentoring developers, enforcing best practices, driving autonomous development, and aligning technical solutions with business needs. CI/CD & DevOps familiarity—strong understanding of build tools (Webpack, Vite, Metro), containerization (Docker), and deployment automation using Jenkins, GitLab CI, etc. Security, accessibility, and testing focus—capable of implementing WCAG-compliant UIs, secure data handling, and robust test strategies using tools like Jest, Cypress, Detox, and Appium. Skills: mobile-first development,react,teams,react.js,performance optimization,ci/cd,platforms,mobile,geospatial solutions,data,maps,responsive design,testing and quality assurance,front-end architecture,web,react native,design,containerization (docker)

Job Summary We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems. Key Responsibilities Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn. Perform data preprocessing, feature engineering, and exploratory data analysis. Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI. Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions. Optimize model performance and ensure robustness in real-time environments. Maintain clear documentation of code, models, and processes. Required Skills Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Strong understanding of ML algorithms (classification, regression, clustering, deep learning). Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP). Familiarity with containerization (Docker, Kubernetes) and CI/CD practices. Solid grasp of RESTful API development and integration. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 2–5 years of experience in Python development with a focus on AI/ML. Exposure to MLOps practices and model monitoring tools. Skills:- Python and AIML

Industry: Cloud Data Analytics & Enterprise Consulting Sector: Data Platform Modernization & Managed Services Location: On-site, India Role & Responsibilities Administer and optimize Snowflake clusters: warehouses, databases, schemas, roles, RBAC, and resource monitors for 24×7 production workloads. Implement data loading, transformation, and backup strategies using Snowpipe, Streams, Tasks, and Time-Travel to ensure zero-data-loss SLAs. Monitor query performance, identify bottlenecks, and fine-tune warehouse sizing, clustering keys, and caching policies for cost and latency targets. Harden security posture through network policies, encryption, multi-factor authentication, and integration with Okta/AD for single sign-on. Automate environment provisioning, code deployment, and compliance reporting via Terraform, Git, and CI/CD pipelines. Collaborate with Data Engineers and BI teams to troubleshoot ingestion pipelines and deliver best-practice guidance on Snowflake features and releases. Skills & Qualifications Must-Have 3+ years dedicated Snowflake administration in production. Expertise in SQL, data modelling, and warehouse design principles. Hands-on with Snowpipe, Streams & Tasks, Time-Travel, and Fail-Safe. Proven experience setting up RBAC, network policies, and encryption. Proficiency in Python or Shell for automation plus Git-based workflows. Preferred Certification: SnowPro Core or Advanced Architect. Exposure to AWS/GCP/Azure storage integrations and Kafka/Fivetran connectors. Knowledge of observability stacks like Snowflake Alerts, Splunk, or Datadog. Benefits & Culture Highlights Work with India’s foremost Snowflake Center of Excellence, gaining early access to beta features. Clear growth path toward Solution Architect and Cloud Practice Lead roles. Inclusive, merit-driven culture with sponsored certifications and onsite cafeteria. Skills: tasks,rbac,snowflake admin,fail-safe,snowpipe,python,shell scripting,encryption,data modelling,data warehousing,cloud security,snowflake administration,etl,streams,shell,git,network policies,warehouse design principles,time-travel,performance tuning,sql,snowflake

Server Engineer have a primary role supporting the virtual server enterprise, with a principal focus on the Windows Server and Red hat/SuSe Linux server systems. The successful Engineer, with deep technical knowledge of Red Hat Enterprise, Windows Server or preferably both. Virtual servers are hosted on ESX using VMware. This position requires an experienced engineer who is goal-oriented, able to multitask, willing to mentor junior engineers and can work independently and in small groups. Maintain and deploy systems and services within our Physical/virtual Server. • Must have experience on Windows, VMware, Microsoft Active Directory, Azure AD, DHCP, DNS, IIS, Hyper-V, ADFS, clustering, GPO, Group policy and NAS/SAS storage • Hands-on administrative management experience supporting Linux systems; Red Hat/SuSe Enterprise used for ERP hosting. • Server Engineer is responsible for day-to-day operations like organizing, installing, supporting, and securing server Landscape across all locations. • Resolve Incidents and Problems and fulfil Service Requests using a service management ticket queue and Change Management processes • Design, develop, and deploy automation/script processes to streamline team workflows • Work closely with Oracle DBA and Web development teams, as well as software and hardware vendors. • Ensure documentation of RCA, corrective actions are defined and carried out as per ITIL standards. • Interact with internal and external technical leaders to implement innovative solutions which meet market needs with respect to availability, functionality, performance, reliability, repeatability, and scalability. • Manage server security remediation activities including vulnerability. Knowledge of industry security principles and server vulnerability remediation practices • Maintain awareness of industry trends and issues with hardware, operating systems, networking, security and any relevant new technologies and frameworks • Manage server operating systems patching and Monitor Server performance (availability, utilization, throughput, and latency) and test for weaknesses using ManageEngine Tools. • Configure, maintain, and upgrade Server Hardware and software. • Install and integrate new server hardware and applications and do regular updates of all Server devices. • Identify and solve any problems that arise with server hosted applications. • Perform Backup of all servers. • Setup user accounts, permissions, and passwords • Research and make recommendations on server system administration • Participate in DR or BCP activities EDUCATION and/or CERTIFICATIONS Bachelor's degree in Computer Science, Computer Engineering, or Information Technology having 7-12 years of experience as a Lead Server Engineer with concentrated experience with server operating systems and servers, and demonstrated experience with virtualization, storage, and Networking. • Red Hat certification – Red Hat Certified Systems Administrator preferred • Microsoft Server Certification – Microsoft Certified Systems Expert preferred • Redhat Certification – RHCE/RHCSA Preferred • VMWare certification – VMware Certified Associate preferred

Relocation Assistance Offered Within Country Job Number #167667 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief Introduction - Role Summary/Purpose The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167670 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Data Scientist, Global Data Science Brief Introduction - Role Summary/Purpose (3-4 Sentences Max.) The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 Bullet Points) Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 Bullet Points) BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 Bullet Points) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167669 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Data Scientist, Global Data Science Brief Introduction - Role Summary/Purpose (3-4 Sentences Max.) The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 Bullet Points) Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 Bullet Points) BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 Bullet Points) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167668 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief Introduction - Role Summary/Purpose (3-4 Sentences Max.) The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 Bullet Points) Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 Bullet Points) BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 Bullet Points) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167666 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief Introduction - Role Summary/Purpose The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #163961 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modelling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you…? You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modelling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Own Pricing and Promotion, Marketing Mix, Forecasting study from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy) using large datasets Ready to work closely with business partners across geographies You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modelling, Marketing Mix Modelling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/BTECH [ Computer Science, Information Technology is preferred], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Good Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Solid understanding on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What You’ll Need…(Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer-packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (Big Query, data studio, colab, Google Slides, Google Sheets etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Ability to work with cross functional teams in IT, Data Architecture to build enterprise level Data Science products. Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief Introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. Those in cloud operations at PwC will focus on managing and optimising cloud infrastructure and services to enable seamless operations and high availability for clients. You will be responsible for monitoring, troubleshooting, and implementing industry leading practices for cloud-based systems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Windows Server & VMware Admin Server Lead/Admin will coordinate the day-to-day activities of the operational systems, processes, and infrastructure required for all service offerings being developed that assist clients on their Managed Service Delivery. This individual will work with one or multiple clients to gather requirements and the corresponding work needed based on the client’s Delivery roadmap. They will manage the day-to-day business of operations including various stakeholders and internal and external delivery partners. Responsibilities Role supports our services that focus on Operating System - Windows. Extensive experience with Installation, Configuration, Patching, Backup-Recovery on Windows & VMware infrastructure. Experience in maintaining upgrading & Migrating VMware vCenter ESXi HA, DRS, vDS, vROps and VIO. Experience working in Azure cloud – IaaS & PaaS Experience in building and configuring the Windows Clustering services and good troubleshooting skills. Experience in involving discussion with clients for Operating System requirements, performance, and integration issues and providing better solutions or approaches along with capacity planning. Responsible for identifying and resolving performance bottlenecks in relation to CPU, I/O, Memory. Responsible for migration i.e., on-prem to on-prem or to cloud Day-to-Day Production support and maintenance of different versions of server infrastructure Design and build function-centric solutions in the context of transition from traditional, legacy platforms to microservices architectures Identifies trends and assess opportunities to improve processes and execution. Raises and tracks issues and conflicts, removes barriers, resolves issues of medium complexity involving partners and calls out to appropriate levels when required. Solicits and responds to feedback while gaining dedication and support. Stays up to date on industry regulations, trends, and technology. Coordinates with management to ensure all operational, administrative, and compliance functions within the team are being carried out in accordance with regulatory standard methodologies. Qualifications Bachelor’s degree in Computer Science or related technology field preferred Minimum of 4 years of hands-on experience on Windows operating systems & VMware. Strong working knowledge of ITIL principles and ITSM Current understanding of industry trends and methodologies Outstanding verbal and written communication skills Excellent attention to detail Strong interpersonal skills and leadership qualities

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of the role The Global Brand Analytics Team at Anheuser-Busch InBev (AB InBev) is tasked with helping strengthen AB InBev’s brands across the globe. The solutions we provide aim to extract insights and give guidance on actionable from all our brand related data. The derived data-driven insights play a pivotal role in empowering our Marketing teams to make well-informed decisions backed by cutting edge modelling techniques and thorough analysis. Key tasks & accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience, Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science. Previous Work Experience Minimum 3 years of experience, 2 years in to Data Science must. Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others). Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset. Strong communication and interpersonal skills. Strong story boarding skills. Preferred Skills Marketing Analytics background in FMCG And above all of this, an undying love for beer! We dream big to create future with more cheers.

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. We are looking for a talented and experienced GCP BigQuery Engineer to join our team. The ideal candidate will have 6 to 8 years of hands-on experience working with Google Cloud Platform (GCP) services, with a strong focus on BigQuery. As a GCP BigQuery Engineer, you will be responsible for designing, implementing, and optimizing data warehousing and analytics solutions using BigQuery to support our organization's business objectives. **Responsibilities:** - Design, develop, and implement data warehousing and analytics solutions using Google BigQuery as the primary data storage and processing platform. - Work closely with business stakeholders, data architects, and data engineers to gather requirements and design scalable and efficient data models and schemas in BigQuery. - Implement data ingestion pipelines to extract, transform, and load (ETL) data from various source systems into BigQuery using GCP services such as Cloud Dataflow, Cloud Storage, and Data Transfer Service. - Optimize BigQuery performance and cost-effectiveness by designing partitioned tables, clustering tables, and optimizing SQL queries. - Develop and maintain data pipelines and workflows using GCP tools and technologies to automate data processing and analytics tasks. - Implement data security and access controls in BigQuery to ensure compliance with regulatory requirements and protect sensitive data. - Collaborate with cross-functional teams to integrate BigQuery with other GCP services and third-party tools to support advanced analytics, machine learning, and business intelligence initiatives. - Provide technical guidance and mentorship to junior members of the team and contribute to knowledge sharing and best practices development.

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files. Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace. Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3–5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning. Solid understanding of image processing, visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning. Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers. Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation). - Good to have Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure). Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us? Be part of a visionary team building a first-of-its-kind AI solution for the construction industry. Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

Ankura is a team of excellence founded on innovation and growth. Manage end-to-end eDiscovery lifecycle: data collection, processing, hosting, review, and production in accordance with EDRM. Perform Relativity administration tasks including workspace setup, user management, permissions, batching, and analytics configuration. Coordinate with internal teams and clients on search strategies, TAR, deduplication, clustering, and email threading workflows. Generate production sets for litigation or regulatory submissions in required formats (PDF, TIFF, Load Files, etc.). Fraud & Forensic Investigations Conduct financial fraud investigations, misconduct inquiries, and transactional reviews using structured and unstructured data. Analyze accounting records, bank transactions, emails, and digital logs to uncover red flags, patterns, or anomalies. Work closely with forensic accountants and lawyers to triangulate findings and support legal arguments. Assist in preparing chronologies, link charts, and evidence packs for client reports and potential legal proceedings. Digital Forensics Support Collaborate with the DFIR team on disk imaging, mobile extractions, metadata preservation, and chain-of-custody protocols. Help interpret forensic data logs (e.g., USB activity, internet history, file access patterns) to support investigations. Project Management & Reporting Independently manage projects or workstreams with minimal supervision and multiple stakeholders. Prepare concise and well-documented memos, reports, and PowerPoint deliverables suitable for legal audiences and senior management. Support business development efforts including proposals, capability decks, and client meetings. Education Bachelor's degree in Accounting, Information Technology, Law, or related field. Preferred: Master’s degree in Forensics, Cybersecurity, or MBA with focus on Risk, Technology, or Legal domains. Certifications (preferred But Not Mandatory) Relativity Certified Administrator (RCA) or Relativity Review Specialist Certified Fraud Examiner (CFE) EnCE, ACE, or any forensics certification is a plus. Experience 3 to 6 years of hands-on experience in eDiscovery and forensic/fraud investigations. Experience handling large datasets, complex search strategies, and case structuring on Relativity or similar platforms. Familiarity with forensic tools like Nuix, FTK, EnCase, Cellebrite, or log analysis platforms. Exposure to working with law firms, audit firms, or legal consulting companies in investigation or dispute resolution contexts. Technical & Analytical Skills Proficient in Microsoft Excel, PowerPoint, and handling CSV/PST/MSG formats. Comfort with SQL, Power BI, Python (optional), or working with structured datasets a plus. Strong ability to connect financial, digital, and behavioral data to uncover fraud. Soft Skills High level of attention to detail and strong documentation skills. Excellent verbal and written communication, especially when summarizing findings for legal teams or clients. Strong organizational skills and the ability to multi-task across concurrent engagements. A collaborative, curious, and problem-solving mindset with the ability to adapt to changing demands. Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Job Title: Java Enterprise Technical Architect: Location: Hyderabad Notice: Immediate joiners required We are looking for a highly skilled Java Enterprise Technical Architect with deep expertise in microservices architecture, cloud computing, DevOps, security, database optimization, and high-performance enterprise application design . The ideal candidate will have hands-on experience in fixing VAPT vulnerabilities , suggesting deployment architectures , implementing clustering and scalability solutions , and ensuring robust application and database security . They must also be ready to code when needed , ensuring best practices in software development while leading architecture decisions. Responsibilities: Architecture Design & Deployment Define and implement scalable, high-performance microservices architecture. Design secure and efficient deployment architectures, including clustering, failover, and HA strategies. Optimize enterprise applications for Apache HTTP Server, ensuring security and reverse proxy configurations. Provide recommendations for cloud-native architectures on AWS, Azure, or GCP. Security & VAPT Compliance Fix all Vulnerability Assessment & Penetration Testing (VAPT) issues and enforce secure coding practices. Implement end-to-end security including API security, identity management (OAuth2, JWT, SAML), and encryption mechanisms. Ensure database security (Oracle/PostgreSQL) with encryption (TDE), access control (RBAC/ABAC), and audit logging. Deploy DevSecOps pipelines integrating SAST/DAST tools like SonarQube, OWASP ZAP, or Checkmarx. Performance Optimization & Scalability Fine-tune Oracle & PostgreSQL databases, including indexing, query optimization, caching, and replication. Optimize microservices inter-service communication using Kafka, RabbitMQ, or gRPC. Implement load balancing, caching strategies (Redis, Memcached, Hazelcast), and high availability (HA) solutions. DevOps & Cloud Enablement Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD. Optimize containerized deployments using Docker, Kubernetes (K8s), and Helm. Automate infrastructure as code (IaC) using Terraform or Ansible. Ensure observability with ELK Stack, Prometheus, Grafana, and distributed tracing (Jaeger, Zipkin). Technical Leadership & Hands-on Development Lead architecture decisions while being hands-on in coding with Java, Spring Boot, and microservices. Review and improve code quality, scalability, and security practices across development teams. Mentor developers, conduct training sessions, and ensure adoption of best practices in software engineering. Define architecture patterns, best practices, and coding standards to ensure high-quality, scalable, and secure applications. Collaborate with stakeholders, including business analysts, developers, and project managers, to ensure technical feasibility and alignment with business needs. Evaluate and recommend technologies, tools, and frameworks that best meet the project's needs. Oversee the integration of diverse technologies, platforms, and applications to ensure smooth interoperability. Ensure the security, performance, and reliability of system architecture through design and implementation. Review and optimize existing systems and architectures, identifying areas for improvement and implementing enhancements. Stay updated with emerging technologies, trends, and industry best practices to drive innovation. Conduct technical reviews, audits, and assessments of systems to ensure alignment with architecture and organizational standards. Experience: 8+ years of hands-on experience in Java full-stack, Spring Boot, J2EE, and microservices. 5+ years of expertise in designing enterprise-grade deployment architectures. Strong security background, with experience in fixing VAPT issues and implementing security controls. Network design and implementation Deep knowledge of Application servers, Apache HTTP Server, including reverse proxy, SSL, and load balancing. Proven experience in database performance tuning, indexing, and security (Oracle & PostgreSQL). Strong DevOps and Cloud experience, with knowledge of Kubernetes, CI/CD, and automation. Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Hands-on experience with microservices architecture, APIs, and distributed systems. Solid understanding of DevOps practices and CI/CD pipelines. Excellent problem-solving and analytical skills, with the ability to navigate complex technical challenges. Experience with databases (SQL and NoSQL) and data modelling. Effective communication and collaboration skills, with the ability to work closely with both technical and non-technical stakeholders. Ability to balance technical depth with an understanding of business requirements and project timelines. Education: Bachelor’s degree or master’s degree in computer science, Information Technology, or a related field Job Type: Full-time Pay: Up to ₹2,300,000.00 per year Benefits: Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Weekend availability Application Question(s): Are you an immediate Joiner? What is your CCTC and ECTC? Experience: java fullstack: 8 years (Required) Work Location: In person