for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a key member of the Sales Reporting team, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a senior and a key member of the Sales Operations - Data Analytics, Reporting & Visualization team, you will work in a cross-functional team of Data Analytics, Visualization, and Data Analytics experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in sales reporting, dashboards, insights project delivery, stakeholder communication, and guiding less experienced team members where necessary. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services and tools.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots and conversational agents.- Familiarity with image processing techniques and tools. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- Mentor junior team members to foster their professional growth.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. 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.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies such as deep learning and neural networks. You will also work on enhancing user experiences through chatbots and image processing technologies, contributing to innovative projects that push the boundaries of AI capabilities. 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.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Evaluate and implement best practices in AI and machine learning to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models, cucumber, eclipse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. 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.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About the Role We are looking for a Senior Data Scientist to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, AppZen is the right place for you to apply and grow your skills. Key Responsibilities: Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques Solid understanding of Python programming, including core data structures (lists, dicts, sets, tuples), object-oriented design, and writing clean, modular, and maintainable code. Experience with code optimization techniques, including efficient memory and runtime usage, vectorization (NumPy/Pandas), and debugging performance bottlenecks. Hands-on experience with LLMs such as GPT, LLaMA, or Claude, including evaluation and integration into production pipelines. Proficiency in using GenAI frameworks and tools (e.g., Hugging Face Transformers, LangChain, OpenAI APIs, vLLM, or AutoGen) to build, customize, and deploy language-based solutions. Ability to analyze, evaluate, and optimize LLM outputs for accuracy, safety, relevance, and bias mitigation in enterprise use cases. Work with internal and external stakeholders on program management Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field Must have 6+ years of industry experience You are a team player Nice-to-Have: Track record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker is plus. Expertise in building and fine-tuning LLM models using Transformers and RAG systems.

Python Developer Location: Bengaluru, Karnataka, India Experience Level: 3–5 Years Employment Type: Full-Time Role Overview We are seeking a skilled Python Developer with a strong background in data manipulation and analysis using NumPy and Pandas, coupled with proficiency in SQL. The ideal candidate will have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Key Responsibilities Develop and maintain robust data pipelines and ETL processes using Python, NumPy, and Pandas. Write efficient SQL queries for data extraction, transformation, and loading. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data validation and quality checks to ensure data integrity. Optimize existing codebases for performance and scalability. Document processes and maintain clear records of data workflows. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 2–5 years of professional experience in Python development. Proficiency in NumPy and Pandas for data manipulation and analysis. Strong command of SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server. Familiarity with version control systems, particularly Git. Experience with data visualization tools and libraries is a plus. Preferred Skills Experience with data visualization libraries such as Matplotlib or Seaborn. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of big data tools and frameworks like Spark or Hadoop. Understanding of machine learning concepts and libraries. Why Join Enterprise Minds Enterprise Minds is a forward-thinking technology consulting firm dedicated to delivering next-generation solutions. By joining our team, you'll work on impactful projects, collaborate with industry experts, and contribute to innovative solutions that drive business transformation.

Design, develop, maintain scalable Python applications and systems Utilize Numpy & Pandas for data manipulation/ analysis. Integrate with SQL databases Data processing/ transformation using Python libraries Smooth deployment of applications and CI/CD Required Candidate profile Must Have Skills: Python, NumPy & Pandas, Angular, SQL, Flask/Fast API

About the role You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria Provide technical direction for projects. Break down business requirements into work for the team to execute on. Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business,product, and recommender system objectives Lead routine projects with manageable risks and resource requirements Deliver AI/ML solutions using emerging technologies for multiple products or complex projects with minimal guidance Train and mentor colleagues Explain difficult concepts and influence others to adopt a point of view for ideas and initiatives Craft and sustain technical outputs such as design documentation and representative models. Design and develop control logic for end-to-end AI-based solutions Lead the design and development of Proof of Concepts and complex AI/ML solutions Improve operations by conducting systems analysis and recommend policy changes About You You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria Over 5 years of experience with machine learning, especially Recommender Systems. Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. At least 2 years with cloud technologies (preferably AWS). Proficient in Python, SQL, and data modeling; DBT is a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras. Experience leading engineering teams. Creative problem-solving skills. #LI-HG1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. 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Tool Development: o Design, develop, and test tool prototypes to meet project specifications. o Write and maintain high-quality code in Python, CAPL, Java, and Typescript. o Implement and integrate frameworks and middleware such as Python Pandas, NumPy, React, JavaFX, Javascript frameworks (e.g., Vue), Vector CANoe, and Codemeter. Collaboration and Integration: o Work closely with team members to ensure seamless integration and functionality of tools. o Participate in code reviews and provide constructive feedback to peers. o Collaborate with other departments to understand their tool requirements and provide effective solutions. o Work within a small team of 3 members. o Collaborate with roles such as Tool Developer and Tool Tester. CI/CD and DevOps Practices: o Implement and maintain CI/CD pipelines using tools like GIT, HTTP, Jenkins, SVN, GitLab, Kubernetes, Docker, AWS, S3, and Artifactory. o Ensure the tools are integrated into the CI/CD pipeline for automated testing and deployment. o Monitor and optimize the performance of tools in the development and production environments. Project Management: o Assign tasks and responsibilities according to different V-Modell phases. o Track project progress and ensure timely delivery of tool prototypes. o Document development processes, tool functionalities, and user guides. Continuous Improvement: o Stay updated with the latest industry trends and technologies. o Continuously improve tools based on user feedback and technological advancements. o Participate in training and professional development to enhance skills and knowledge. Quality Assurance: o Conduct thorough testing of tools to ensure they meet quality standards. o Identify and fix bugs and issues in a timely manner. o Ensure tools are reliable, efficient, and user-friendly. Support and Maintenance: o Provide ongoing support and maintenance for developed tools. o Troubleshoot and resolve issues reported by users. o Update tools to accommodate new requirements and technologies. Programming Languages: Python: Extensive experience in writing and maintaining Python code, with a strong understanding of libraries such as Pandas and NumPy for data manipulation and analysis. CAPL: Proficient in using CAPL (CAN Access Programming Language) for developing and testing automotive communication protocols. Java: Solid experience in Java programming, including the use of JavaFX for building rich client applications. Typescript: Skilled in writing and maintaining Typescript code, with a good grasp of its features and benefits over JavaScript. Frameworks and Middleware: Python Pandas and NumPy: In-depth knowledge of these libraries for data analysis and manipulation. React: Experience in building user interfaces using React, with an understanding of its component-based architecture. JavaFX: Proficient in using JavaFX for creating desktop applications with rich graphical interfaces. Javascript Frameworks (e.g., Vue): Familiarity with various JavaScript frameworks, particularly Vue, for building interactive web applications. Vector CANoe: Experience with Vector CANoe for simulation, testing, and analysis of automotive networks. Codemeter: Knowledge of Codemeter for software license management and protection. Infrastructure (CI/CD, DevOps): GIT: Proficient in using GIT for version control, including branching, merging, and resolving conflicts. HTTP: Understanding of HTTP protocols and their application in web development and API integration. Jenkins: Experience in setting up and maintaining CI/CD pipelines using Jenkins. SVN: Familiarity with SVN (Subversion) for version control. GitLab: Knowledge of GitLab for source code management and CI/CD. Kubernetes: Experience in deploying and managing containerized applications using Kubernetes. Docker: Proficient in using Docker for containerization and orchestration of applications. AWS: Understanding of AWS services and their application in cloud computing. S3: Experience with Amazon S3 for scalable storage solutions. Artifactory: Knowledge of Artifactory for managing binary artifacts and dependencies. Domain Expertise: Tool Development: Specialized knowledge in developing tools for various applications, with a focus on creating efficient and user-friendly solutions. V-Modell Phases: Experience in working through different phases of the V-Modell, including requirements analysis, design, implementation, testing, and maintenance. Project Management: Task Assignment: Ability to assign tasks and responsibilities according to project phases and team capabilities. Progress Tracking: Experience in tracking project progress and ensuring timely delivery of milestones.

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking Python AI Trainers with a minimum of 1 year of experience to join us in Hyderabad and contribute to impactful AI training projects Key Responsibilities: Develop, review, and refine Python code snippets, explanations, and logic-based tasks for AI training Training, fine-tuning the LLMs using RLHF techniques Ensure code quality, correctness, and clarity in Python-related datasets Evaluate and improve AI-generated Python outputs Debug and correct errors in AI-driven programming responses Collaborate with teams to enhance AI's understanding of Python concepts and best practices Required Qualifications: 1+ year of experience in Python-related fields (Software Development, Teaching, Data Science, AI Training, etc ) Strong coding and analytical skills Proficiency in core Python concepts (data types, functions, loops, OOP, file handling, etc ) Ability to critically analyze AI-generated code and provide constructive feedback Familiarity with libraries like NumPy, Pandas, or algorithmic thinking is a plus Why Join Us Work in a competitive environment Hands-on experience working on real-world AI training tasks Competitive Stipend (Rs 25-35k) Shape the future of AI with Soul AI!

Overview Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Responsibilities 1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. 2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Qualifications Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python : Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have) : Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces. Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers. Location - Remote.

Key Responsibilities: Assist in the design, development, and deployment of Python-based AI/ML models and applications. Work with senior developers and data scientists to preprocess data, train models, and evaluate performance. Write clean, scalable, and efficient Python code for automation, data analysis, and AI pipelines. Participate in brainstorming sessions, code reviews, and team meetings. Document project requirements, processes, and results. Required Skills: Strong foundation in Python programming. Basic understanding of Machine Learning concepts and algorithms. Familiarity with libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. Good analytical and problem-solving skills. Willingness to learn new technologies and take initiative. Good to Have: Exposure to deep learning frameworks like TensorFlow or PyTorch. Experience with Jupyter Notebooks, Git/GitHub, or any version control system. Academic projects or internships related to AI/ML or Python development. Eligibility Criteria: B.E./B.Tech/MCA/M.Sc. in Computer Science, IT, or related field (2023/2024 pass-out preferred). Strong academic track record with a passion for AI and software development. What We Offer: Hands-on experience on real-world AI/ML projects. Mentorship and training by experienced professionals. Dynamic and collaborative work environment. Career growth opportunities in AI and software development domains.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Marketing A nalytics Title :- Level 09 - Ind & Func AI Decision Science Consultant Job location :- Gurgaon / Bangalore / Mumbai About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways.¢"Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications Qualifications What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for? 3+ years for consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- GN Data &AI- Products Title :- Ind & Func AI Value Strategy Senior Manager Job location :Bangalore , Gurugram About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Whats in it for you? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in Consumer Products. They develop specialized expertise"”strategic, industry, functional, technical"”in a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master’s degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way