6702 Machine Learning Jobs - Page 6

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Masters degree with 2+ years of experience, OR Bachelors degree with 3+ years of experience.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : SAP MM Materials ManagementMinimum 7.5 year(s) of experience is required Educational Qualification : Minimum 15 years of full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Good To Have Skills: Experience with SAP MM Materials Management- 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 SAP Sales and Distribution (SD)- This position is based at our Noida office- A minimum of 15 years of full-time education is required Qualification Minimum 15 years of full time education

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.6.Optimize performance of new Python workflows and ensure data quality and consistency.7.Document migration processes, coding standards, and pipeline configurations.8.Integrate new pipelines with google cloud platforms as required.9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Base & Macros- 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 8+ years of exp with min 3 years of exp in SAS or python Data engineering Qualification 15 years full time education

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Product Security Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Red Teaming Expert Adversarial ML, Threat Simulation, and AI Security StrategyWe are seeking a highly experienced and visionary AI Red Teaming Expert 12+ years of experience across cybersecurity and machine learning. This role is ideal for professionals who thrive in dynamic environments and possess a passion for securing cutting-edge AI/ML systems. You will lead red teaming operations, simulate adversarial threats, and guide the organizations AI security posture at strategic and technical levels. The ideal candidate demonstrates deep technical expertise, exceptional leadership, and a keen understanding of adversarial machine learning and risk mitigation frameworks. Roles & Responsibilities:Define and execute the AI red teaming strategy across the organization.Simulate realistic and advanced adversarial attacks against AI/ML systems aligned with business contexts.Review AI/ML system architecture to identify security gaps and advocate for secure design patterns.Establish internal standards and workflows for AI threat modeling, risk assessment, and adversarial testing.Stay ahead of evolving adversarial ML threats and guide the development of defensive strategies.Contribute to secure development practices for model deployment pipelines and lifecycle management.Lead and mentor a specialized team of AI security analysts and red teamers.Represent AI security strategy in executive forums and drive cross-functional alignment.Collaborate with engineering, data science, compliance, and legal stakeholders to integrate security into AI innovation cycles.Drive internal policy-making efforts around responsible and secure AI development practices.Own and lead remediation initiatives, translating findings into actionable improvements across teams. Professional & Technical Skills: Exceptional communication and leadership skills with the ability to convey technical issues to non-technical stakeholders.Proven experience managing high-impact security initiatives and leading diverse teams.Strategic thinker capable of aligning AI security objectives with business goals.Passionate about AI safety, responsible innovation, and emerging threat landscapes.Strong analytical and problem-solving skills in high-pressure environments.Hands-on expertise in red teaming AI/ML systems at scale.Strong understanding of adversarial ML techniques, threat simulation tools, and AI model manipulation tactics.Experience implementing and aligning with frameworks such as OWASP Top 10 for LLMs, ISO 42001, NIST AI RMF.Proficiency in AI/ML pipeline security, model risk evaluation, and secure MLOps practices.Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their associated vulnerabilities.Demonstrated ability to design, execute, and scale red teaming programs in AI-native environments.- Additional Information:Bachelors or Masters degree in Computer Science, Information Security, Machine Learning, or related field.Recognized certifications such as CEH, OSCP, CISSP, or credentials specific to AI security (e.g., MITRE ATLAS experience) are a plus.- 12+ years of experience spanning cybersecurity, AI/ML, and adversarial testing- This position is based at our Bengaluru office- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Masters degree with 8+ years of experience, OR Bachelors degree with 11+ years of experience

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions, providing insights and solutions to enhance application performance and user experience. Your role will require you to stay updated with the latest technologies and methodologies to ensure the applications are built using best practices. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application deployment.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 2 years of experience in PySpark.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google Cloud Machine Learning Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BTech Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. 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- Expected to provide solutions to problems that apply across multiple teams- Lead the application design and development process- Ensure effective communication within the team and stakeholders- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services- Strong understanding of cloud-based machine learning services- Experience in designing and implementing machine learning models on Google Cloud Platform- Knowledge of data preprocessing and feature engineering techniques- Hands-on experience with deploying machine learning models in production environments Additional Information:- The candidate should have a minimum of 12 years of experience in Google Cloud Machine Learning Services- This position is based at our Kolkata office- A BTech degree is required Qualification BTech

Management Level :07 - Manager Location :Gurgaon/Bangalore/Mumbai Must have skills :Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions Job Summary : Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Independent Project Leadership :Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. Pod Leadership :Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. Model Development :Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. Strategy Development :Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. Ethical AI Practices :Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. Performance Evaluation :Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Research and Innovation :Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques. Mentorship :Guide and mentor junior team members, fostering a culture of innovation and continuous learning. Professional & Technical Skills: 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences. Additional Information: Experience with large-scale data processing and cloud computing platforms. Familiarity with NLP , computer vision , and other AI applications. Publications or contributions to open-source AI/ML projects . Experience in cloud integrations and performance optimization . Strong leadership skills with experience in guiding teams and managing AI projects. About Our Company | AccentureQualification Experience :Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on Generative AI models (LLMs) and leadership in AI solutions. Educational Qualification :Masters or Ph.D. in Computer Science , Data Science , Statistics , or related field.

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PeopleSoft PeopleTools Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PeopleSoft PeopleTools- 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 5 years of experience in PeopleSoft PeopleTools- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

• Data engineering - Source data from internal system sources and external (public/private) sources, using data pipelines or automations • Data science & risk modelling - Develop risk models / algorithm for calculating credit scoring of clients, credit loss, simulating stress scenarios and LLM models to aide credit risk assessment • Risk Reporting & Visualization - Develop risk reports and dashboards for credit risk officers to analyse and monitor risks in their portfolio • Data governance - Organise and document data attributes, process and procedures • Infrastructure management - Collaborate with internal technology teams to analyse impact on data due to infrastructure changes • To understanding trade Life Cycle – work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Bachelor’s degree in computer science, Finance, Mathematics, Statistics, or related field 3-5 years of experience in data engineering, data science, or similar technical role Proficiency in SQL and database management systems Strong programming skills in Python, R, or similar languages for statistical analysis and machine learning Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Knowledge of statistical modeling, econometrics, and risk management methodologies Experience with ETL/ELT tools and data pipeline frameworks Familiarity with Large Language Models and Natural Language Processing techniques Experience with data visualization tools (Tableau, Power BI, or similar) Excellent English verbal and written communication Key Responsibilities: Data Engineering: Design, build, and maintain robust data pipelines to source data from internal system sources and external public/private data providers Develop automated data ingestion processes to ensure timely and accurate data flow Implement data quality controls and monitoring systems to maintain data integrity Data Science & Risk Modelling: Develop and maintain sophisticated risk models and algorithms for calculating client credit scores Build predictive models for credit loss estimation and expected credit loss calculations Design and implement stress testing scenarios to evaluate portfolio resilience under adverse conditions Create and deploy Large Language Model (LLM) solutions to enhance credit risk assessment processes Risk Reporting & Visualization: Develop comprehensive risk reports and interactive dashboards for credit risk officers Create visualization tools that enable effective portfolio risk analysis and monitoring Data governance: Organise and document data attributes, process and procedures Infrastructure management: Collaborate with internal technology teams to analyse impact on data due to infrastructure changes Trade Life Cycle: Work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Key Relationships Global Credit team, risk technology, data scientist, Other internal departments (accounts, treasury, trade finance, operations etc) Global Credit team, Head of Operation Risk Management, Other internal departments (accounts, treasury, trade finance, operations etc)

Role Overview As a Lead Data Scientist, youll optimize algorithms, lead a team, and develop cutting-edge solutions to improve our platforms performance. Collaborate across teams and stay at the forefront of AdTech advancements to drive measurable impact. Key Responsibilities Optimize and develop algorithms to enhance our DMP for OOH advertising. Lead a team of data scientists, ensuring project success and mentorship. Collaborate with cross-functional teams to identify and address challenges. Present data insights to technical and non-technical stakeholders. Ensure data quality, integrity, and compliance with privacy regulations. Requirements Masters/PhD in Data Science, Computer Science, or related field. 5+ years in data science with a focus on algorithm development. Expertise in machine learning, statistical modeling, and Python/Java. Proven leadership and excellent problem-solving skills. Strong communication skills; AdTech/OOH experience is a plus.

Overview The Global Trade Compliance team is responsible to support all business functions related to cross- border transactions. Responsibilities Essential Duties and Responsibilities: Policies, Procedures, Processes (Creation & Implementation) o Creates processes and procedures related to International Trade Compliance; o Applies experience and advanced research skills to updating and maintaining procedures, processes, and policies. – Systems & Product Database Management / Trade Data Management (e.g., HTS, ECCN, COO) o Analyzes and creates the process for maintaining trade compliance elements in the item databases. o Superuser for at least one trade system / tool. – Regulatory Updates & Guidance to Various Internal & External Stakeholders o Research legal regulatory requirements. – Clearance / Processes / Export Controls (Export, Import or Both) o When necessary, prepares paperwork required for import, processes ECOs with trade compliance attributes. o Interacts with various levels of stakeholders to ensure full support of the operations. o Classifies Zebra's items in Harmonized Tariff Schedule (HS numbers) and/or Export Controls Commodity Number. o Validates classifications. – Recordkeeping o Recommends and establishes policies and procedures for recordkeeping Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified. Qualifications Job Requirements: Minimum Education: Bachelor’s Degree, and an advanced degree or consulting work experience (at Big 5) is preferred. Preferred focus of the advanced degree is Business, Finance, Communication or Law. Minimum Work Experience (years): Minimum of 5 years of direct trade compliance work experience, such as regulatory work experience with import or export laws and regulations is required. At least 2 years of continuous commodity classification (export or import) experience is preferred. Key Skills and Competencies: Export license application experience, including commodity classification determinations, commodity jurisdiction, sanctions work, etc. is preferred Excellent writing skills are required Excellent communication skills are required Project Management knowledge is required Advanced knowledge of MS Word and Excel is required Licenses/Certifications, special qualifications: n/a Equivalencies: n/a Position Specific Information: Travel Requirements (as a % of time): less than 5% on an “as needed” basis Able to telework? Yes/no – if yes, % of time and expectations while teleworking: yes Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands: Never – 0% Occasionally - 0-20 times per shift or up to 33% of the time Frequently - 20-100 times per shift or 33-66% of the time Constantly - Over 100 times per shift or 66-100% of the time Physical Activities (U.S. only): Select the frequency for each item on the below list (never, occasionally, frequently, constantly). Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like. ( Never) Working from heights such as roofs, ladders, or powered lifts. ( Never) Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. ( Never) Remaining in a stationary position, often standing or sitting for prolonged periods. ( Frequently) Stooping, kneeling, bending, crouching, reaching, pushing/pulling. ( Occasionally) Moving about to accomplish tasks or moving from one worksite to another. ( Never) Adjusting or moving objects up to ## pounds in all directions. ( Never) Communicating with others to exchange information. ( Frequently) Repeating motions that may include the wrists, hands and/or fingers. ( Frequently) Operating machinery and/or power tools. ( Never) Operating motor vehicles, industrial vehicles, or heavy equipment. ( Never) Assessing the accuracy, neatness and thoroughness of the work assigned. ( Constantly) Environmental Conditions (U.S. only): Select the frequency for each item on the below list (never, occasionally, frequently, constantly). Exposure to extreme temperatures (high or low). ( Never) Outdoor elements such as precipitation and wind. ( Never) Noisy environments. ( Never) Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. ( Never) Small and/or enclosed spaces. ( Never) No adverse environmental conditions expected. ( Never) Physical Demands (U.S. only): ( Sedentary work that primarily involves sitting/standing.) Must be able to see color. ( No) Rewards Only Section: FLSA Exemption (U.S. only): For Exempt classifications only, what exemption was used when grading the job Administrative Computer Professional Executive Outside Sales Highly compensated

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: AISolution Architect JobDescription: Designand implement AI-driven solutions that integrate machine learning, NLP, andother AI technologies. Leadthe architecture and deployment of AI models in production environments. Collaboratewith data scientists, engineers, and business leaders to identify AI use casesand opportunities. Ensurethe scalability, reliability, and performance of AI solutions across theorganization. Developand maintain AI governance frameworks, including ethical considerations andbias mitigation. Stayupdated with the latest advancements in AI and integrate cutting-edgetechnologies into solutions. Providetechnical leadership and mentorship to the AI and data science teams. PresentAI solutions and strategies to executive leadership and key stakeholders. ProfileDescription: Experience:12-15 years in software architecture and AI solutions, with deep experience inmachine learning and data science. Skills:Proficiency in AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (GCP,AWS, Azure), and programming languages (Python, R). Qualifications:Masters or PhD in Computer Science, AI, or related field. Competencies:Strategic thinking with strong leadership skills to guide AI initiatives acrossthe enterprise. Certifications:AI/ML specialization or certification from recognized institutions. Knowledge:Extensive experience in deploying AI solutions at scale, with a focus on MLOpspractices. SoftSkills: Excellent communication and collaboration skills to work withcross-functional teams and stakeholders. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Job Title - GN-Comms & Media -Mobile Private Networks Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Intelligent Networks Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Work in teams to deliver projects for global clients, and be responsible, with minimal supervision, for: Independently liaise with customers and convincingly present solutions - especially in an unstructured and ever-changing client environment. Be able to independently question the customer, when required Gather business requirements from client stakeholders via interactions like interviews and workshops Understand customer needs and translate them to business requirements (business requirement definition), business process flows and functional requirements thereby acting as an interface between business and technology teams Ability to understand the as-is process; understand issues with the processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Engage all the stakeholders as a virtual team (Customer, Development and Accounts team, Product manager, operations) for sales origination, solutioning and delivery Propose solutions to the client based on gap analysis for the existing platforms against industry benchmarks Business Development: Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for different areas Support proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables Develop assets and best practices, point-of-view, research, or white papers for use by the team and larger community Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience Diversity Candidates preferred Candidate should have 1-6 years experience of working with consulting / services provider firms in the telecom networks service assurance domain. Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory Exposure to global clients is preferred Have done a project delivery or performed POC related to use-case enablement using Private network Certifications related to BPMN, eTOM, ITIL, SID, TAM or similar is good to have Should have Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong analytical, problem-solving skills and good communication skills Should have Cross-cultural competence with an ability to thrive in a dynamic environment Preferable working knowledge of Automation across RPA / Artificial Intelligence / Machine Learning etc. Good experience of team Management Coach and mentor team members in projects, on asset development, BDs, and overall professional development Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network (CN) team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing. Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability. From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with clients business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role! Technical Experience Must-Haves Experience in building 5G network strategy, Operating Model design, Process Transformation, governance & program management Experience in assessing clients current maturity and recommending the transition strategies and defining roadmap Experience in use case identification, prioritization, and monetization for Private network deployment (on prem & cloud deployment) Experience in Private network rollout planning, capacity dimensioning etc. Experience of working in multi-vendor and multi-technology ecosystem In- Depth knowledge Wireless network technologies i.e., LTE/5G, WiFi5/6, SD-WAN Good understanding of Private Network KPI definitions and measurement Good understanding of network generations, architecture, and 3GPP/ETSI/O-RAN specifications Good To Have Understanding the competitive landscape and market opportunities in Private Networks space Understanding of EPC/5G Core, Edge cloud, Multi Edge Computing (MEC), NFV, SDN and Applications Good understanding on Network Analytics - AI based Service Assurance use cases to drive business/operations benefits Good understanding of Network operations Processes, tools, operating model etc. Familiarity with microservices and CNCF services Basic understanding of SCADA, PLC, Robots, sensors of IT-OT environment, data collection and database system to control logic functions, API gateways, orchestrators, and middleware Core Skills required at least in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters i.e. Value Architect and Tracking - Define value driver trees translating into value components and key KPIs linked to Business objectives Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for:-Experience in film production, animation, and content creation.-Familiarity with AI tools for content creation.If you meet these requirements and are excited to be part of a dynamic team, send us your resume at hidden_email Lets create something incredible together!,

Key Responsibilities: Collaborate with content creators and creative leads to conceptualize video ideas Create detailed and visually engaging storyboards for video scripts and concepts Assist in the setup, coordination, and direction of video shoots Ensure that the visual storytelling aligns with the brand tone and message Stay updated on trends in short-form and digital video content (Reels, Shorts, YouTube, etc.) Requirements: 1-3 years of experience in video production or creative storytelling Strong skills in storyboarding, visual storytelling, and camera planning Basic understanding of lighting, framing, and scene composition Good communication and collaboration skills Familiarity with tools like Adobe Premier pro, After effects, Photoshop, AI tools

We are looking for a Data Scientist with a product engineering mindset to join our fast-paced, data-driven team. Youll work at the intersection of data science, software engineering, and product development, helping to design and deliver scalable, data-centric solutions that drive business value and enhance user experience, particularly in the sports domain. Collaborate with cross-functional teams (Product, Engineering, Design, and Business) to identify opportunities where data science can improve products and services. Design, develop, and deploy machine learning models and data pipelines in production environments using Python, R, and cloud-native services on AWS and Microsoft Azure. Translate complex data into clear product insights and actionable recommendations. Contribute to the product lifecycle by embedding data science into product discovery, experimentation, and iterative improvements. Maintain a strong focus on the user experience, ensuring data-driven solutions are practical and aligned with product goals. Communicate findings effectively with both technical and non-technical stakeholders. Location: Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata, Pune, Chennai, Remote

About the Role: An Annotator is responsible for accurately tagging, labeling, and annotating various types of data, including images, videos, audio clips, 2D objects and more. This role involves analyzing and interpreting content to enhance machine learning models, ensuring precision and relevance in annotations. It requires a keen eye for detail, an understanding of the specific requirements of AI and ML projects, and the ability to work consistently with various digital files. This role is crucial for improving the accuracy of AI systems in recognizing and interpreting multimedia data. Key Responsibilities: Data Annotation: Accurately labeling and annotating images, videos, audio files, and 2D graphics to train and improve machine learning models. Quality Control: Ensuring high-quality and error-free annotations, and verifying the accuracy of data labels. Data Classification: Categorizing and classifying data based on specific criteria relevant to AI and ML projects. Collaboration: Working closely with data scientists and AI teams to understand project requirements and deliver data in the required format. Project Documentation: Maintaining detailed records of annotated data and contributing to project documentation to track progress and methodologies used. Required Skills & Experience: Detail Orientation Technical Skills Analytical Ability Communication Adaptability and Learning. Preferred Qualifications: Basic educational background Graduation /Diploma holders Familiarity with annotation tools and software. Experience with data classification or related field. Good computer and internet skills. Ability to work efficiently in a team and independently.

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Unified Communication and Collaboration Operations Good to have skills : Unified Communication and Collaboration ImplementationMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the Unified Communication and Collaboration Operations system. You will use exceptional communication skills to keep our world-class systems running smoothly. With deep product knowledge, you will accurately define client issues and design effective resolutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Ensure smooth operation of the Unified Communication and Collaboration Operations system.- Resolve client issues by accurately defining and interpreting them.- Design effective resolutions based on deep product knowledge.- Collaborate with the team to provide solutions to work-related problems.- Continuously improve the Unified Communication and Collaboration Operations system. Professional & Technical Skills: - Must To Have Skills: Proficiency in Unified Communication and Collaboration Operations.- Good To Have Skills: Experience with Unified Communication and Collaboration Implementation.- Strong understanding of Unified Communication and Collaboration Operations.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on experience implementing various Unified Communication and Collaboration Operations.- 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 3 years of experience in Unified Communication and Collaboration Operations.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : Python (Programming Language), AWS ArchitectureMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the application development process and ensure successful project delivery. 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 application development process- Coordinate with stakeholders to gather requirements- Ensure timely project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark, Python (Programming Language), AWS Architecture- Strong understanding of distributed computing frameworks- Experience in building scalable and reliable applications- Knowledge of data processing and transformation- Hands-on experience in performance tuning and optimization Additional Information:- The candidate should have a minimum of 7.5 years of experience in Apache Spark- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education