Req ID: 326459 We are currently seeking a BFSI Data and Analytics Project Lead - CITI Bank to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Project Lead with over 12+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insights."

Req ID: 312505 We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain.

Req ID: 326457 We are currently seeking a BFSI Data and Analytics Delivery Manager to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Delivery Manager with over 18+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insig"

Req ID: 326727 We are currently seeking a Microsoft Fabric Specialist to join our team in Hyderabad, Telangana (IN-TG), India (IN). : We are seeking a Mid-Level Microsoft Fabric Support Specialist to join our IT team. The ideal candidate will be responsible for providing technical support, troubleshooting, and ensuring the smooth operation of Microsoft Fabric services. This role requires a deep understanding of Microsoft Fabric, data integration, and analytics solutions, along with strong problem-solving skills. Key Responsibilities: "¢ Provide technical support and troubleshooting for Microsoft Fabric services. "¢ Assist in the implementation, configuration, and maintenance of Microsoft Fabric environments. "¢ Monitor system performance and resolve issues proactively. "¢ Collaborate with cross-functional teams to optimize data workflows and analytics solutions. "¢ Document support procedures, best practices, and troubleshooting steps. "¢ Assist in user training and onboarding for Microsoft Fabric-related tools and applications. "¢ Stay up to date with the latest Microsoft Fabric updates and best practices. Required Qualifications: "¢ 5+ years of experience in IT support, with a focus on Microsoft Fabric or related technologies. "¢ Strong knowledge of Microsoft Fabric, Power BI, Azure Synapse, and data integration tools. "¢ Experience with troubleshooting and resolving issues in a cloud-based environment. "¢ Familiarity with SQL, data pipelines, and ETL processes. "¢ Excellent problem-solving and communication skills. "¢ Ability to work independently and collaboratively in a team environment. Preferred Qualifications: "¢ Microsoft certifications related to Fabric, Azure, or Power BI. "¢ Experience with automation and scripting (PowerShell, Python, etc.). "¢ Understanding of security and compliance considerations in cloud-based data platforms.

Req ID: 312501 We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain. "‹"‹"‹"‹"‹"‹"‹

Req ID: 324676 We are currently seeking a Data Analyst to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy. Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions. Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques. Assist in the identification and implementation of process improvements to streamline data workflows and analysis. Basic Qualifications: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]. 3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Undergraduate or Graduate degree preferred Ability to travel at least 25%." Preferred Skills: Strong proficiency in data analysis tools such as Python, SQL, Talend (any ETL). Experience with data visualization tools like PowerBI. Experience with cloud data platforms . Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of machine learning techniques and tools. Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus. Understanding of data governance and data privacy regulations. Ability to query and manipulate databases and data warehouses. Excellent analytical and problem-solving skills. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. Detail-oriented with a commitment to accuracy.

Req ID: 303766 We are currently seeking a Digital Project Manager Lead Consultant to join our team in Pune, Mahrshtra (IN-MH), India (IN). RESPONSIBILITIES Lead and manage AI projects from inception to completion, ensuring successful delivery within scope, timeline, and budget. Develop comprehensive project plans, including timelines, resource allocation, and risk management strategies for AI and machine learning initiatives. Collaborate with a diverse range of stakeholders, including data scientists, engineers, and business leaders, to align project objectives with organizational goals. Oversee the development and deployment of AI models, ensuring alignment with project requirements and performance metrics. Identify, analyze, and address project issues and risks, implementing corrective actions as needed to keep projects on track. Drive process improvements by integrating new technologies and best practices into project management processes. Facilitate clear and effective communication across project teams and stakeholders, providing regular updates and ensuring transparency throughout the project lifecycle. Ensure AI projects adhere to data privacy regulations, ethical guidelines, and industry standards. Handle project operations "“ Resource Rampup, People Management, Trainings Working with COE to create new GenAI accelerators LocationPune Skills, Knowledge, and Experience Technical Handson skills in GenAI is must. Should be able to provide technical guidance to the team when required Minimum 3-4 years of experience managing AI or technology projects, with a proven track record of delivering complex projects on time and within budget. Bachelor"™s degree in Computer Science, Data Science, or a related field; advanced certification (e.g., PMP, Agile) is a plus. Strong portfolio demonstrating successful AI projects, showcasing ability to manage project scope, resources, and stakeholder expectations effectively. Familiarity with AI and machine learning concepts, technologies, and tools, with the ability to understand and manage technical aspects of projects. Proficiency in project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, MS Project). Experience with data analytics and performance monitoring tools relevant to AI projects. Understanding of how AI solutions can drive business value and impact organizational strategy. Knowledge of ethical considerations and compliance requirements related to AI and data privacy. Strong understanding of programming or data science tools (e.g., Python, R) for better communication with technical teams & Azure GENAI Exceptional communication skills, with the ability to convey complex AI concepts and project details to both technical and non-technical stakeholders.

Job Title: Lead Data Scientist We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be responsible for leading data-driven projects, mentoring junior data scientists, and guiding the organization in making strategic decisions based on data insights. Key Responsibilities: - Develop and implement advanced statistical models and algorithms to analyze complex data sets. - Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions. - Mentor and oversee a team of data scientists, providing guidance on best practices and techniques in data analysis and modeling. - Communicate findings and insights to stakeholders through presentations, reports, and visualizations. - Stay current with industry trends and emerging technologies in data science and analytics. - Design and implement experiments to validate models and hypotheses. - Ensure the quality and integrity of data throughout the analytic process. Qualifications: - Master's. in Computer Science, Statistics, Mathematics, or a related field. - Proven experience as a Data Scientist, with a strong portfolio of successful projects. - Expertise in programming languages such as Python or R, as well as experience with machine learning frameworks. - Strong knowledge of statistical analysis and modeling techniques. - Excellent problem-solving skills and the ability to work with large and complex data sets. - Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Experience in leading and managing teams is a plus. We offer a competitive salary, comprehensive benefits, and the opportunity to work in a collaborative and innovative environment. If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Roles and Responsibilities Job Title: Lead Data Scientist Roles and Responsibilities: 1. Leading the design and implementation of advanced machine learning models and algorithms to address complex business problems. 2. Collaborating with cross-functional teams to define data strategies and identify opportunities for data-driven decision-making. 3. Overseeing data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling. 4. Mentoring and guiding junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team. 5. Communicating findings and insights to stakeholders through visualizations, presentations, and reports, ensuring clarity and understanding of complex analyses. 6. Staying current with industry trends, tools, and technologies in data science, and applying best practices to enhance team capabilities and project outcomes. 7. Developing and maintaining scalable data pipelines and architectures to support large-scale data processing. 8. Evaluating the performance of statistical models and machine learning algorithms to ensure accuracy and effectiveness in real-world applications. 9. Collaborating with IT and engineering teams to deploy models into production environments and monitor their performance. 10. Contributing to the strategic direction of the data science team and advising leadership on data-driven opportunities and potential risks.

Job Title: Data Scientist Looking for someone with 5-8 years of experience manipulating data sets and building statistical models Desired Skills: Experience using statistical computer languages (R, Python, etc.) to manage data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.). Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders. Experience with Snowflake will be an added advantage. Experience in deployment of machine learning models using cloud technologies. Roles and responsibilities: 1. Work with stakeholders to identify opportunities for leveraging data to drive business solutions. 2. Mine and analyse data from databases to drive optimization and improvement of product development and business strategies. 3. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 4. Develop custom models and algorithms to apply to data sets. 5. Use predictive modelling to increase and optimize customer experiences. 6. Coordinate with different functional teams to implement models and monitor outcomes. 7. Analyse large amounts of information to discover trends and patterns. 8. Build predictive models and machine-learning algorithms. 9. Present information using data visualization techniques . 10. Good to have a knowledge of ML lifecycle and model governance.

Job Description: Who are we Infosys NYSE INFY is a global leader in consulting technology and outsourcing solutions with annual revenues of over 15 64 B as of 2022 We enable clients in more than 50 countries to stay a step ahead of emerging business trends and outperform the competition Infosys Recognized as one of the 2022 World s Most Ethical Companies for the Second Consecutive Year by Ethisphere What are we looking for Lead Machine Learning Engineer We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Retail CPG Logistics strong business and technical acumen along with excellent soft skills What do we require To work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML One can be an individual contributor or lead small teams depending on the project You will be pivotal to understanding the requirement problem definition and discovery of the overall solution One will also have the opportunity to shape value adding consulting solutions for clients by connecting various functions of cloud components Industry knowledge Knows basics of machine learning is aware of cloud services Azure services has a deep understanding of coding practices knows how to guide teams on debugging the issues can connect the dots to arrivie at a solution and is very good at presentation of the ideas thoughts and solutions Key Responsibilities: Technical knowledge has expertise in cloud technologies specifically MS Azure and services with hands on coding to Expertise in Object Oriented Python Programming with 4 5 years experience DevOps Working knowledge with implementation experience 1 or 2 projects a minimum Hands On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment Azure Data bricks and Azure DevOps Setup Assist team to coding standards flake8 etc Guide team to debug on issues with pipeline failures Engage with Business Stakeholders with status update on progress of development and issue fix Automation Technology and Process Improvement for the deployed projects Setup Standards related to Coding Pipelines and Documentation Adhere to KPI SLA for Pipeline Run Execution Research on new topics services and enhancements in Cloud Technologies Technical Requirements: Education and Experience Overall 6 to 8 years of experience in Data driven software engineering with 3 5 years of experience designing building and deploying enterprise AI or ML applications with at least 2 years of experience implementing full lifecycle ML automation using MLOps scalable development to deployment of complex data science workflows Bachelors or Master s degree in Computer Science Engineering or equivalent Domain experience in Retail CPG and Logistics etc Azure Certified DP100 AZ AI900 Additional Responsibilities: Domain Technical Tools Knowledge Object oriented programming coding standards architecture design patterns Config management Package Management Logging documentation Experience in Test Driven Development and experience in using Pytest frameworks git version control Rest APIs Azure ML best practices in environment management run time configurations Azure ML Databricks clusters alerts Experience designing and implementing ML Systems pipelines MLOps practices and tools such a MLFlow Kubernetes etc Exposure to event driven orchestration Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools e g SQL R Python High level understanding of database concepts reporting Data Science concepts Hands on experience in working with client IT Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ 900 Certification with Azure Architecture understanding is a plus Preferred Skills: Technology->Data Science->Machine Learning

Job Description: A Pricing Revenue Growth Consultant advise to build a pricing and promotion tool for CPG client which would have pricing strategies trade promotions and revenue growth initiatives This will involve building analytics and machine learning models for price elasticity promotion effectiveness and trade promotion optimization Consultant would require collaborating with CPG business marketing data scientist and other teams for a successful delivery of project and tool Required Skills Business Domain Skills o Trade Promotion Management TPM Trade Promotion Optimization TPO Trade Spend Efficiency o Promotion Depth Frequency Forecasting Scenario and Effectiveness o Price Pack Architecture Pricing Elasticity and Price Sensitivity o Competitive Price tracking benchmarking and effectiveness o Revenue Growth Management Category and Channel Growth Market Entry and New Product Pricing o Financial Modeling Dynamic pricing implementation o AI Machine Learning for Pricing Typical Work Environment Own delivery of RGM solutions ensuring high quality deliverables and measurable business outcomes for clients Collaborative work with cross functional teams across sales marketing and product development Stakeholder Management Team Handling Fast paced environment with a focus on delivering timely insights to support business decisions Excellent problem solving skills and ability to address complex technical challenges Effective communication skills to collaborate with cross functional teams and stakeholders Potential to work on multiple projects simultaneously prioritizing tasks based on business impact Experience and Qualification Overall 8 to 10 years of experience in Retail CPG Analytics with 2 to 4 years of experience in RGM products services within the Retail CPG industry Expertise in Pricing Promotions Price Pack Architecture Trade Spend etc Experience in engaging senior business stakeholders VP C level in strategic discussions Good understanding of application of AI in building and delivering RGM solutions and underlying technology Understanding and experience working in Agile methodologies Degree in Data Science Computer Science with data science specialization Master s in business administration in Marketing and Analytics preferred Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Oracle Industry Solutions Retail Merchandise Technical Skills o Proficiency in programming languages like Python and R for data manipulation and analysis o Expertise in machine learning algorithms and statistical modeling techniques o Familiarity with data warehousing and data pipelines o Experience with data visualization tools like Tableau or Power BI o Experience in Cloud platforms e g ADF Data bricks Azure and their AI services Consulting Skills o Hypothesis driven problem solving o Go to market pricing and revenue growth execution o Advisory Presentation Data Storytelling o Project Leadership and Execution Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Oracle Industry Solutions->Retail Merchandise->Oracle-Retail Price Management (ORPM)

Job Description: Infosys Limited is hiring for our QualityEQS Unit The Infosys QualityEQS Team is a critical partner of all the business units and business enabling functions in achieving excellence in its business delivery and client experience We are the change agents that set benchmarking practices share them across projects units Strong understanding of MLOps principles and practices Data Analysis Experience with ML frameworks TensorFlow PyTorch Machine Learning Proficiency in programming languages Python R Cloud Computing Key Responsibilities: Responsibilities Assess the complete ML development process Data Engineering Evaluate the maturity level of ML systems Software Development Provide recommendations for improvement DevOps Implement and maintain CI CD pipelines for ML models Monitor and manage model performance in production Technical Requirements: 3 years in MLOps or related roles Data Science Hands on experience with ML model deployment and monitoring System Administration Proven track record of implementing CI CD pipelines Automation Tools Experience with version control systems Git Preferred Skills: Technology->Machine Learning->MLOps

Job Description: Should mandatorily have a total of 10 years of experience with at least 6 years of experience in advanced analytics and in developing models using advanced analytical tools Shall have worked in Python for at least 2 years Knowledge of Python R and other open source analytical tools is highly desirable The resource should have a very strong experience in data analytics and data handling and experienced in statistical programming on latest IT tools of data analysis Key Responsibilities: ROLE AND RESPONSIBILITIES As a Lead Data Scientist lead the engagement efforts at different stages from problem definition to diagnosis to solution design development deployment in large government implementation programs Create detailed design and architecture and process artifacts implement the solution and the deployment plan Connect with senior client business and IT stakeholders demonstrating thought leadership in domain process and technology Contribute to Unit and Organizational initiatives and COEs REQUIRED SKILLS AND EXPERIENCE Strong hands on and in depth knowledge of Data Analytics module Strong understanding of the Data Warehousing Business Intelligence AI solutions good understanding of airlines industry Thorough understanding of Agile methodology Good understanding of business processes in the airlines domain or with government organizations Experience in leading and driving Business process workshops and Fit GAP analysis Should have working experience in a highly regulated environment Should be aware of release governance processes and have experience in working on any incident management tool Preferred Skills: Technology->Machine Learning->Python

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in developing and deploying conversational AI solutions using Large Language Models (LLMs) and RASA framework.

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What youll be doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN Design, develop and deploy virtual agents using SN agent builder Integrate SN Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Education Bachelor/Masters in Computer Science, AI, ML, or related fields. Experience 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options)

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Key Responsibilities: Interacts with clients on site and remote to meet complex requirements of a solution. Escalates unresolved problems and issues to the relevant third parties. Responds to escalated client requests. Escalates complex problems to the relevant third parties. Writes reports and proposals and completes and maintains project documentation. Assists with the documentation of standard operating procedures relating to installations and fixes. Acts as coach and mentor to more junior Implementation Engineers and Technicians. Assumes responsibility for the coordination of the activities of the junior Engineers, in line with performance targets. Included in higher complexity design work, with input to the design expected. Expected to take ownership of relevant technologies according to domain or specialization. Performs any other related task as required. Knowledge and Attributes: Seasoned understanding and appreciation of technical design and business principles. Seasoned project fundamental and administration ability. Seasoned project skills which are demonstrated in the execution of installations and other assignments. Excellent customer engagement skills Demonstrate relevant domain specialist knowledge. Excellent verbal communication skills. Client focused and displays a proactive approach to solving problems. Ability to work under pressure. Ability to coach, mentor and provide guidance to team members. Academic Qualification and Certifications: Bachelor's degree or equivalent in Information Technology or Computing or a related field. Collaboration - Valid CCNP Voice/Collaboration Certification required. Customer Experience - NICE plus additional such as NICE Engage NCSE; NICE Engage NCIE (Installation); Sentinel Fundamentals; CXOne Basic Certification; CXOne Advanced Certification; CXOne ACD Administrator Certification. Additional certifications such as Nexidia Data exchange framework; Nexidia NCSE; Nexidia NCIE; Advanced Processing Automation (RTAM); NICE WFM (IEX); Compliance Centre; NICE Inform; Avaya VOIP Integrations. Cisco VOIP Integrations; Encryption; Multiple Data Centres (MDC); NICE Real Time Authentication; NICE Trade Recording. Avaya certifications such as Avaya Aura Core; Avaya Aura Contact Centre; Avaya IP Office; Avaya IP Office Contact Centre; Avaya Session Border Controller; Avaya Experience Portal Administration. Verint certifications such as Workforce Management (WFM); Interactions; Speech; Additional DPA Genesys foundational Courses such as Genesys Cloud CX - Implementation; Genesys Cloud CX - Contact Centre Administration; Genesys Cloud CX - Reporting and Analytics. Genesys level 3 such as Genesys Cloud Integration Paths; Genesys Cloud CX - Development and Feedback Usage for Supervisors; Genesys Cloud CX - Gamification; Genesys Cloud CX - AI/Bots Knowledge Workbench; Genesys Cloud CX - AI/Bots Fundamentals; Genesys Cloud CX - AI/Bots Intent Miner; Genesys Cloud - Cloud Media Services Business Continuity; Genesys Cloud - Cloud Media Services Purchase to Port; Genesys Cloud - Cloud Media Services Telephony Connection Options. Data Centre - Relevant certifications such as HPE Proliant servers, 3PAR, Primera, Alletra, Simplicity, Synergy, StoreOnce, MSA Storage; Dell PowerEdge servers, Unity, PowerStore, PowerScale Isilon. Recoverpoint Appliance/VE, PowerProtect/Data Domain, VxRail, VMware Certified VCP-DCV, vSAN, SRM; Dell Information Storage Associate - DCA-ISM; Veeam Backup and Recovery and or Veritas Netbackup; Azure Fundamentals; Cisco UCS Servers. Cisco MDS and Brocade SAN Switches - Zoning. End User Compute - Relevant certifications such as Microsoft Certified Professional; Microsoft 365 Administrator (MS-100, MS-101); Microsoft 365 Certified - Modern Desktop Administrator Associate (MD-100, MD-101); Microsoft Azure Fundamentals Training & Certification (AZ-900); Microsoft 365 Certified - Teams Administrator Associate; AZ-103 - Azure Administrator Associate; Microsoft Certified - Azure Identity and Access Administrator; AZ-500 - Microsoft Azure Security Technologies; Microsoft Certified Solutions Associate - Server 2016; AZ-500 - Microsoft Azure Security Technologies. Networking - Professional level certification in different Networking technologies such as Cisco, Juniper, Aruba, F5, CCNP, JNCIS, ACMP etc.; Cisco Dev Net certification. Security - Certifications such as Azure Certified Security Engineer PCNSE FCP CCNP Security CISSP Automation certifications or equivalent preferred. Cloud Security certifications and certifications such as AZ-500, SC-200, Security+, CEH, CISSP, CISM or similar Certification in different networking technologies such as CCDP Security, JNCIA, ACCA, PCNSE, PCNSC, FCP, CCSA, ITIL, Azure Security Engineer, Azure Certified DevOps Engineer, Azure Certified Network Engineer, Azure Administrator Associate is advantageous. Certifications relevant to the services provided (certifications carry additional weightage on a candidates qualification for the role). Terraform; Azure; Sentinel; EDR Defender for Cloud; Microsoft Security; Devops Ci/CD Pipelins; Azure Governance (Defender for Cloud, Azure Policies, Secure Score and Compliance); Version Control (Git); Microservices (Kubernetes, Azure Containers); Azure AWS/ GCP Infrastructure (IaaS, PaaS, SaaS); Azure Infrastructure as Code; Azure Administration; Hybrid Cloud; Networking (Firewalls, LAN, VPN); Automation; MS Office365; Power BI Administration; Scripting (PowerShell); ZTNA. Required Experience: Seasoned work experience in technical implementation engineering technologies such as Networking, Data Centre, Security, Customer Experience, Collaboration and/or End User Compute etc. Seasoned experience engaging with clients and conducting presentations. Seasoned report writing experience. Seasoned project management. Required Experience (specific to Collaboration) - Seasoned experience with Cisco Unified Communications Manager, Cisco Unity Connection, Cisco Unified Contact Centre express, Cisco Attendant console, Cisco IMP, Cisco Customer Collaboration Platform and Expressway in enterprise deployments, including bulk administration, provisioning and management of endpoints and user accounts in large-scale systems. Seasoned experience with voice gateways - MGCP, SIP, H.323, SCCP, digital PRI/E1, analog FXO/FXS. Seasoned experience with Border Element, media resources, SRST/SRSV. Seasoned experience with Cisco Unified Contact Centre Express, including but not limited to UC Manager integration, scripting, high availability clustering. Seasoned experience with design and implementation for UC environment. Seasoned experience with CME/CUE. Seasoned experience in dial plan designs and implementation. Seasoned experience with virtualization, specifically VMware, Cisco UCS B/C-Series servers and wireshark. Seasoned experience with Cisco TelePresence video solutions. Seasoned experience with Cisco audio and video conferencing solutions. Seasoned experience with Webex Calling and Webex Contact Centre solutions. Seasoned experience with voice carrier systems from Telkom, Neotel, Vodacom, MTN. Seasoned experience with multi-cluster call manager environments. Seasoned ARC and Call Cabinet expertise is advantageous. Seasoned experience in Network switching and routing. Required Experience (specific to Networking) - Seasoned work experience in technical implementation engineering, specific to Networking technologies. Seasoned experience engaging with clients and conducting presentations. Seasoned report writing experience. Seasoned project management. Seasoned experience in Networking technologies such as routing, switching, Wireless, SDI distribution, core and access layers. Seasoned experience in diagnosis and troubleshooting. Required Experience (specific to Security) - Seasoned experience in SOC Analysis Operations. Seasoned experience in SIEM usage for investigations. Seasoned experience in Azure or AWS or GCP. Seasoned experience in Security technologies. Seasoned experience in technical support to clients. Seasoned experience in handling security incidents end to end. Seasoned experience in security concepts and application of those concepts. Seasoned experience in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, decoys, and other security tools. Seasoned experience in log collection mechanism such as Syslog, Log file, DB API. Seasoned experience in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, and other security tools. Seasoned knowledge on log collection mechanism such as Syslog, Log file, DB API. Seasoned experience in ETL concepts, data processing at scale and data stream pipelines through Terraform. Seasoned experience in Java, Python, TypeScript, JavaScript, R, .NET, PowerShell Seasoned experience in usage of source control systems, Git and CI/CD pipelines using Terraform. Seasoned experience in sound practices on securing data and systems by applying appropriate authentication and authorization controls. Seasoned experience in Event Driven Development and asynchronous operations.

Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis. As a Senior Data Scientist, you will be responsible for leading data-driven projects, developing predictive models, and providing actionable insights to drive business decisions. Key Responsibilities: Lead and manage data science projects from conception to deployment. Develop and implement machine learning models and algorithms to solve complex business problems. Analyze large datasets to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations. Stay up to date with the latest advancements in data science and machine learning technologies. Qualifications: Bachelors or Master's in Data Science, Computer Science, Statistics, or a related field. 4+ years of experience. Strong proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving skills. Ability to work independently and as part of a team. Strong communication and presentation skills. Preferred Qualifications: Knowledge of big data & computing technologies like Apache Spark, Apache Ray Proven experience with Microsoft Azure or other cloud technologies. Experience with mathematical optimization. Familiarity with data visualization tools (Power BI, Streamlit). Familiarity with the industrial or construction supply industry.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

JobDescription: Weareseekingatalented GenerativeAIDeveloper tojoinour CreditRiskTechnology team.ThisroleinvolvesworkingoninnovativeAIsolutionstoenhancecreditriskanalytics anddecision-making.Theidealcandidatewillhavestrongprogrammingskillsin Python and R ,alongwithhands-onexperienceinmachinelearningframeworkssuchas TensorFlow, PyTorch,Keras ,orsimilar. ????KeyResponsibilities: ?Design,develop,andmaintainapplicationsusing GenerativeAI , Machine Learning ,and DeepLearning techniques. ?Buildscalable,cloud-basedsolutionsleveraging Python,R,andSQL . ?Createtoolsandmodelsusingalgorithmicdevelopmentapproaches. ?Applydesignpatternsforwritingclean,efficient,andmaintainablecode. ?Collaboratewithcross-functionalteamstodeliverAI-poweredsoftwaresolutions. ?Troubleshoot,optimize,anddebugapplicationsformaximumperformance. ?Use visualdevelopmenttools tostreamlineandenhancesolutiondelivery. ????Qualifications: ?Bachelor'sorMaster'sdegreein ComputerScience , Engineering ,orarelatedfield. ?47yearsofrelevantexperiencein AI , MachineLearning ,or DeepLearning . ?DemonstratedsuccessindevelopinganddeployingAImodelsinproduction environments. ?PreferredQualifications: ?Experiencein BusinessConsulting ,withinvolvementin Agileroles suchas BusinessAnalyst . ?Familiaritywith Agiledevelopmentmethodologies andprojectlifecycles.

About The Role Role Purpose Develop and publish MIS reports, perform data analysis and provide statistical reports and key trends to support for business decisions. Daily, Weekly, Monthly and Quarterly Report generation, PPTs, in-depth and accurate data analysis. ? Do 1. BAU reports Release all daily BAU reports after thorough review. Make sure that all daily reports are released on time and with highest data accuracy. Generate both periodic and ad hoc reports as needed. Understand customer problems and Provide appropriate technical solutions. Preparing Month end and Quarter end ppts for management reviews, attending regular meetings. Implementation of new technology and tools in the regular activities. 2. Analyze the data Interprets data and turns it into meaningful information which can offer ways to improve a business, thus affecting business decisions. Responsible to gather information from various sources and interpret patterns and trends. Creating dashboards and key trends using analytic tools like Power BI so that users can get the desired views. Notify the management of any sudden changes in data / trends. 3. Automation Responsible to automate all the manual reports to reduce the effort and save time. Regular meetings with the automation team to track the status and target to close all the automation before time. ? 4. UAT and enhancement in reports Perform UATs when there is any new changes in the dumps or reports are created. Give the UAT comments, document the test results and deviations. Make changes in existing reports during re-org, design new reports based on new requirement, 5. Cumulating QoQ and WoW details for PSC Parameters for further Comparison and Gap analysis 6. Support and discuss with eHub or Service Line WMG Teams for their queries and respond mailers ontime 7. Data issues along with Issue Tracker needs to be discussed and followed up with TraCE, Confluence, AMG and BI Teams 8. Self development Learn and implement new technology such as AI, Data Analytics, Statistical models in the BAU reports and Dashboard ? Deliver No Performance Parameter Measure 1 Fulfilment/ WFM Net Add targets as per plan Overdue demand as % of total demand Fulfilment parameters 2 Accuracy and Timeliness Data Accuracy Report release timeliness ?

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness ? Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired ? ? Mandatory Skills: Data Analysis. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Role & Responsibility/Designation: Quality and Process Excellence Lead Delivery Process/ Function Name: Quality Educational Qualification :BE / B Tech/ MBA/ B.Stat from a Premier Institute Skills ( Must Have): Program management & change management Problem solving tools/ analytical skills Excellent communication / interpersonal, facilitation skills High energy level, confident, assertive and team player Experience ( Minimum): Consulting Experience Minimum 2 years as Quality & Process Excellence practitioner & total 5 years of Experience. Experience of managing team of quality practitioners. Strong functional knowledge of Six Sigma, Statistical tools, Quality & Process re-engineering Exposure to ISO, CMMi or COPC will be added advantage Consulting experience in Shared Services Set up/BPO space is desirable About The Role :: Responsible for driving quality initiatives for Wipro / Client Accounts. Working with dispersed cross functional teams on organizational process (re)- design or industry specific business processes Leverage business optimization & innovation tools & application for process re-engineering Benchmarking processes, Mgmt dashboard set up & building the best practices repository. Change planning and management for deployment of re-designed processes and best practices for large teams without reporting relationship Facilitating workshops, remote groups and leading process diagnostic for articulation of process issues and solution formulation Deputy Manager (Process Excellence) Job Role & Responsibility/Designation:Process Excellence Lead Delivery Process/ Function Name:Quality Educational Qualification:BE / B Tech/ MBA/ B.Stat from a Premier Institute Skills (Must Have): Program management & change management Problem solving tools/ analytical skills Excellent communication / interpersonal, facilitation skills High energy level, confident, assertive and team player. Experience (Minimum): Consulting Experience Minimum 6 Months as Quality & Process Excellence practitioner & total 3 years of Experience. Essential Hiring Skills: Experience of managing team of quality practitioners. Strong functional knowledge of Six Sigma, Statistical tools, Quality & Process re-engineering Exposure to ISO, CMMi or COPC will be added advantage Consulting experience in Shared Services Set up/BPO space is desirable About The Role :: - Responsible for driving quality initiatives for Wipro / Client Accounts. -Working with dispersed cross functional teams on organizational process (re)-design or industry specific business processes - Leverage business optimization & innovation tools & application for process re-engineering -Benchmarking processes, Mgmt dashboard set up & building the best practices repository. -Change planning and management for deployment of re-designed processes and best practices for large teams without reporting relationship - Facilitating workshops, remote groups and leading process diagnostic for articulation of process issues and solution formulation Job Role & Responsibility/Designation: Quality and Process Excellence Lead Delivery Process/ Function Name: Quality Educational Qualification :BE / B Tech/ MBA/ B.Stat from a Premier Institute Skills ( Must Have): Program management & change management Problem solving tools/ analytical skills Excellent communication / interpersonal, facilitation skills High energy level, confident, assertive and team player Experience ( Minimum): Consulting Experience Minimum 2 years as Quality & Process Excellence practitioner & total 5 years of Experience. Experience of managing team of quality practitioners. Strong functional knowledge of Six Sigma, Statistical tools, Quality & Process re-engineering Exposure to ISO, CMMi or COPC will be added advantage Consulting experience in Shared Services Set up/BPO space is desirable About The Role :: Responsible for driving quality initiatives for Wipro / Client Accounts. Working with dispersed cross functional teams on organizational process (re)- design or industry specific business processes Leverage business optimization & innovation tools & application for process re-engineering Benchmarking processes, Mgmt dashboard set up & building the best practices repository. Change planning and management for deployment of re-designed processes and best practices for large teams without reporting relationship Facilitating workshops, remote groups and leading process diagnostic for articulation of process issues and solution formulation

About The Role Job TitleAI Scientist Position Overview: We are seeking a talented and experienced Core AI Algorithm Developer to join our Lab45 AI Platform Team, Wipro. We are looking for candidates with 4 to 10 years of hands-on experience in developing cutting-edge AI algorithms, such as in Generative AI, LLM, Deep Learning, Unsupervised AI, etc. along with expertise in Python, TensorFlow, PyTorch, PySpark, distributed computing, Statistics, and cloud technologies. Candidate should have strong foundation in AI and good coding skills. Key Responsibilities: Develop and implement state-of-the-art AI algorithms and models to solve complex problems in diverse domains. Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI production-grade solutions. Work with large datasets to extract insights, optimize algorithms, and enhance model performance. Contribute to the creation of intellectual property (IP) through patents, research papers, and innovative solutions. Stay abreast of the latest advancements in AI research and technologies and apply them to enhance our AI offerings. Collaborate with cross-functional teams to understand business requirements, gather feedback, and iterate on AI solutions. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Qualifications: Master's, or Ph.D. degree (preferred) in Computer Science, Artificial Intelligence, Machine Learning, or related field. 4 to 10 years of proven experience in developing cutting-edge AI algorithms and solutions. Strong proficiency in Python programming and familiarity with TensorFlow, PyTorch, PySpark, etc. Experience with distributed computing and cloud platforms (e.g., Azure, AWS, GCP). Demonstrated ability to work with large datasets and optimize algorithms for scalability and efficiency. Excellent problem-solving skills and a strong understanding of AI concepts and techniques. Proven track record of delivering high-quality, innovative solutions and contributing to IP creation (e.g., patents, research papers). Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities ? 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders ? 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.