7757 Machine Learning Jobs - Page 50

JR: R00213657 Experience: 8-10Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - GN Industry - Utility SAP DM Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Marketing Strategies Good to have skills: Strong problem-solving skills, adaptability to changing business needs, and expertise in cross-functional collaboration. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Manage business operations, drive performance optimization, and lead cross-functional teams to achieve organizational objectives. Bring your best skills forward to excel in the role: Utilities retail and customer services process & domain expertise Expertise in one or more CRM platforms such as SAP C4C/ Salesforce/ Oracle CX in areas like Services, Sales & Marketing Good Understanding of CRM integration with Utilities systems such IVR/CTI, CIS, MDM, Outage Management etc. Would be advantageous but not mandatory:CRM certification (Salesforce/SAP CRM/Oracle CX) 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. Your experience counts! Full Time Graduation Strong communication skills, demonstrating skills in sharing and explaining complex concepts, creative and pro-active thinking, and situational adaptation of these skills Preferred to have worked on client facing roles and basic ABAP/debugging skills. Understanding of AMI offerings of SAP ISU DM. Experience in Utilities and its business process is a must Whats in it for you An opportunity to work on transformative projects with key G2000 clients 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 accelerate equality for all. Engage in boundaryless collaboration across the entire organization. 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

Skill required: Marketing Operations - Campaign Analytics & Reporting Designation: Measurement & Report Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designThe objective of a reporting analyst is to analyze metrics and design reports to help drive critical business decisions. Reporting analysts contribute to the overall improvement of business reporting by maintaining a company s data systems and implementing processes and initiatives that ultimately increase the effectiveness and integrity of data reporting and documentation. They store data, create reports, analyze reports, create custom reports, and share findings What are we looking for Design business analysis and data recording systems for use throughout the departmentMaintain databases and perform updates as necessary to ensure accuracy. Regularly examine data reports to locate and resolve mistakes throughoutAccurately analyze and collect data for various types of business reports. Create business reports that provide insight into key data points. Communicate the results of data analysis in written and verbal form to managers. Support various departments, including marketing and sales, in reaching their goals through analysis. Monitor data to identify changes in financial and business trends. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP for Utilities Energy Data Management Device Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years of complete education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and meeting the needs of the organization. Your typical day will involve designing and developing applications, collaborating with the team, and configuring applications based on business requirements. You will also be involved in troubleshooting and resolving any issues that arise. 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.- Design and develop applications based on business process and application requirements.- Collaborate with the team to ensure smooth functioning of applications.- Configure applications to meet the specific needs of the organization.- Troubleshoot and resolve any issues that arise with applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Utilities Energy Data Management Device 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 5 years of experience in SAP for Utilities Energy Data Management Device Management.- This position is based at our Nagpur office.- 15 years of complete education is required. Qualification 15 years of complete education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Analytics Cloud Planning 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 to 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 for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must Have Skills: Proficiency in SAP Analytics Cloud Planning- Good To Have Skills: Experience with SAP Business Planning and Consolidation- 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-The candidate should have a minimum of 5 years of experience in SAP Analytics Cloud Planning Additional Information:- 15 years of 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 : SAP FI S/4HANA Accounting, SAP ABAP Development Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead in Packaged Application Development, 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 collaborating with multiple teams to make key decisions. Your typical day will involve providing solutions to problems for your immediate team and across multiple teams, ensuring smooth operations and successful project delivery. Roles & Responsibilities:- Expected to be an SME in SAP ABAP Development- Collaborate and manage the team to perform effectively- Responsible for team decisions and ensuring successful project delivery- Engage with multiple teams and contribute to 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 for the project- Ensure smooth operations and successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI S/4HANA Accounting, SAP ABAP Development- 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 15 years of experience in SAP FI S/4HANA Accounting- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Skill required: Data Management - Structured Query Language (SQL) Designation: Data Eng, Mgmt & Governance Analyst Qualifications: BE,BTech Years of Experience: 3 - 5 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIThe role may require for you to work on SQL (Structured Query Language) which is a Domain-specific language used in programming and designed for querying and modifying data and managing databases. What are we looking for Structured Query Language (SQL) Google Cloud Platform (GCP) Google BigQuery ETL Adaptable and flexible Problem-solving skills Strong analytical skills Prioritization of workload Commitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification BE,BTech

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 : Elastic Stack (ELK) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE 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 collaborating with multiple teams to make key decisions. Your typical day will involve providing solutions to problems for your immediate team and across multiple teams, ensuring smooth operations and 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 to 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 for application-related matters- Manage and coordinate the activities of the application development team- Ensure the successful delivery of projects within the defined scope, timeline, and budget- Identify and mitigate risks and issues related to application development- Ensure compliance with coding standards and best practices- Collaborate with stakeholders to gather requirements and define project objectives- Develop and maintain technical documentation- Provide technical guidance and mentorship to team members- Stay up-to-date with industry trends and advancements in application development Professional & Technical Skills: - Must To Have Skills: Proficiency in Elastic Stack (ELK)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience 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 Elastic Stack (ELK)- This position is based at our Bengaluru office- A BE degree is required Qualification BE

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Navi Mumbai

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 : NAMinimum 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 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 for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- 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 Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Job Description: Data Scientist (Generative AI) Job Summary Astria Digital is hiring a skilled and innovative AI/ML Engineer with 10+ years of experience for an exciting Conversational AI Bot project. This role is available in a hybrid setup (Bangalore) or can be fully remote. Were seeking someone with deep knowledge of AI/ML fundamentals, strong hands-on experience with modern NLP tech stacks, and the ability to build and deploy Small Language Models (SLMs). Youll work on creating intelligent, responsive conversational systems using frameworks like Lang Chain and deploying models on cloud platforms such as AWS or Azure. If you're passionate about cutting-edge language models and building real-world AI solutions, wed love to connect. Skills & Responsibilities Design, develop, and optimize Conversational AI Bots using advanced NLP techniques Build and fine-tune Small Language Models (SLMs) and integrate them into conversational flows Use frameworks like LangChain, LlamaIndex, or similar to develop memory-aware, context-rich dialogue systems Implement Retrieval-Augmented Generation (RAG) and embedding techniques for intelligent responses Deploy custom-trained models on AWS (e.g., SageMaker, Lambda) or Azure (e.g., AKS, ML Studio) Deep understanding of LLM architecture, transformers, and prompt engineering Proficient with libraries such as Hugging Face Transformers, PyTorch, TensorFlow Familiarity with vector databases (e.g., FAISS, Pinecone) and chat memory stores Strong foundation in machine learning fundamentals, optimization, and evaluation techniques Collaborate with product and engineering teams to integrate AI into scalable applications Experience with MLOps, model monitoring, and continuous improvement of conversational performance Keep up with the latest advancements in Conversational AI, open-source LLMs, and fine-tuning method

Role: Data Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development Build re-usable code analytical frameworks to address commonly occurring business questions Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer

The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating proficiency in leading projects and ensuring delivery excellence. Key Responsibilities : Technical & Engineering Leadership : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (i.e., Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Mandatory Skills & Experience. : - A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Extensive experience in software development, with significant exposure to AI/ML technologies. - Expertise in GenAI frameworks : Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Proven experience developing complex solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Exemplary verbal and written communication skills (English). - Positive and solution-oriented mindset. - Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. - Proven leadership skills and the ability to lead projects to ensure delivery excellence. Desired Skills & Experience : - Machine Learning Operations (MLOps) : Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. - Data engineering for AI : Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. - AI model fine-tuning : Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation : - Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Deep understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.

We are the global technology company behind the world s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard: The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. The New Product Engineering team within Data and Services is engineering the transformation of new ideas into software solutions to test in the market, and then growing and scaling products to meet long-term demand and needs. We achieve this with a "move fast, learn fast" mindset, relentless focus on customer excellence, and a culture of collaboration and empowerment. Our solutions are instrumental in positioning Mastercard as a data & services market leader. Role and Summary Data Scientist The Data Scientist in Data & Services New Product Engineering team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets of business and finance operations gathered by mid to large companies. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring. As a Data Scientist, you will: Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Generate and maintain and optimize data pipelines for model building and model performance evaluation Develop, test, and evaluate modern machine learning and A.I. models Oversee implementation of models Evaluate production models based on business metrics to drive continuous improvement Essential Skills: Data engineering and data science experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark. Good knowledge of Linux / Bash environment Python and one of the following machine learning libraries oSpark ML oTensorFlow oScikit Learn oXGBoost Good communication skills Highly skilled problem solver Exhibits a high degree of initiative At least an undergraduate degree in CS, or a STEM related field. Nice to have: Bachelor s or Master s in CS, Data Science, ML/AI, or a related STEM field Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error Databricks Loves working with error-prone, messy, disparate, unstructured data Experience in working with Cloud (e.g., Azure, AWS) Experience participating in complex engineering projects in an Agile setting e.g. Scrum Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law.

Job Description Position : Project Automation Manager Manufacturing & Smart Factory Transformation Job Location : Ahmedabad- Bhopal About the Role: We are seeking a visionary manufacturing technology leader to spearhead our global smart factory transformation. This position will revolutionize our manufacturing ecosystem through design and implementation of advanced automation, digital twin technology, and AI-driven solutions across our international production network across India, Ireland, South Africa, United States, and China. The successful candidate will be responsible for creating the blueprint for our next-generation manufacturing infrastructure while delivering measurable efficiency gains and competitive advantages through technology. Key Responsibilities: Develop and execute a comprehensive smart factory roadmap aligned with our digital transformation strategy across all global manufacturing sites Lead the end-to-end automation of production lines, including integration of robotics, autonomous systems, and lights-out manufacturing capabilities Develop a real-time dashboard that displays production metrics, including production numbers, line maintenance status, and target versus actual performance, accessible to head office staff Design specialized plant and machinery for diverse product categories, including oral care, fabric care, feminine care, health, and consumer care product lines. Architect and implement digital twin solutions to create virtual replicas of physical factories for simulation, optimization, and predictive maintenance Design and deploy AI/ML systems for real-time production optimization, anomaly detection, and predictive quality control Transform manufacturing data architecture to enable advanced analytics, machine learning, and operational intelligence Oversee factory layout redesigns incorporating Industry 4.0 principles, IoT connectivity, and cyber-physical systems Develop standardized automation frameworks that can be scaled and deployed across diverse global manufacturing environments Build and lead centres of excellence for key technologies including digital twins, industrial IoT, and manufacturing AI Create strategic partnerships with technology providers, research institutions, and industry consortia to accelerate innovation Establish governance mechanisms for technology selection, implementation methodologies, and ROI measurement Develop comprehensive change management strategies to drive adoption of new technologies and digital workflows Champion sustainability initiatives through smart energy management, waste reduction, and circular economy principles Qualifications Advanced degree in Engineering, Computer Science, or related field (MBA a plus) 12+ years of progressive leadership experience in manufacturing technology and automation Extensive experience implementing digital twin technologies, smart factory solutions, and AI applications in manufacturing environments Deep expertise in industrial automation systems, including PLCs, SCADA, MES, and industrial robotics Proven track record of leading digital transformation initiatives in complex, global manufacturing organizations Substantial experience in the FMCG/CPG industry, specifically with high-volume, precision manufacturing of consumer products Strong understanding of OT/IT convergence and industrial networking architecture Demonstrated success in scaling technology solutions across multiple international manufacturing sites Experience with digital manufacturing platforms and cloud-based manufacturing solutions Strong background in data science and analytics as applied to manufacturing operations Experience with oral care, fabric care, feminine care, health, and consumer care products would be an added advantage Technical Expertise Digital Twin Implementation & Management Industrial Internet of Things (IIoT) Architecture Manufacturing Execution Systems (MES) Artificial Intelligence and Machine Learning for Manufacturing Advanced Robotics and Autonomous Systems Industrial Edge Computing and Cloud Integration Real-time Production Monitoring and Analytics Predictive Maintenance Systems Computer Vision and Quality Inspection Systems Manufacturing Cybersecurity AR/VR Applications in Manufacturing Low-Code/No-Code Industrial Applications Leadership & Strategic Skills Exceptional strategic thinking with ability to translate technology vision into practical implementation plans Strong innovation mindset with focus on measurable business outcomes Excellent cross-functional leadership abilities to influence without direct authority Proven ability to communicate complex technical concepts to executive stakeholders Experience building and leading diverse, global technical teams Change management expertise in traditional manufacturing environments Financial acumen for developing business cases and ROI models for technology investments Ability to balance strategic vision with practical execution Travel Requirements Willingness to travel to international manufacturing locations for transformation initiatives and technology implementations Please Expedite and Send the Updated Resume Along with requested details and confirmation of interest. Regards, Pooja Raval - Sr. for detail discussion, if your Profile is relevant.

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP) This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product Key Requirements of The Role Advanced degree in an analytical field (eg, Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting Should be proficient in developing production ready code as per best practices Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL Proficient is using NoSQL databases Experience in using GraphDBs like Neo4j a plus Candidate should be able to handle unstructured data with ease Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle Experience in CI/CD deployment is a big plus Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc a big plus Good understanding of programming best practices and building code artifacts for reuse Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development Build re-usable code analytical frameworks to address commonly occurring business questions Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer

V S LEGAL DECISIONS LAW FIRM is looking for Interns to join our dynamic team and embark on a rewarding career journey Gain handson experience in assigned domain. Assist teams in daily tasks and projects. Learn industry best practices and workflows. Prepare reports and present findings.

Job Title: Assistant Manager - Learning designer (AI/ML) Location: HSR, Bangalore (Work from office) Experience Required: Minimum 4 years Department: Product Innovation Employment Type: Full-time Role Overview: We are looking for a passionate AI/ML Subject Matter Expert with a strong background in Artificial Intelligence, Machine Learning, Python, and Deep Learning to support our course development initiatives. As an SME, you will collaborate with the content, instructional design, and product teams to create high-quality, industry-relevant learning content. Key Responsibilities: Research and stay updated on emerging trends, tools, and technologies in AI/ML, Python, Deep Learning, and Data Science. Contribute to designing, reviewing, and refining Simplilearns AI/ML curriculum and learning paths. Create and validate course content including learning objectives, project ideas, assessments, and use cases. Work closely with instructional designers to ensure technical accuracy and pedagogical effectiveness. Support the content production team with scripting, reviewing, and storyboarding. Participate in webinars, doubt sessions, and learner engagement activities when required. Guide the integration of industry use-cases and capstone projects to enhance learner outcomes. Required Skills and Qualifications: Minimum 4 years of hands-on experience in AI/ML and related technologies. Proficiency in Python, with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, or PyTorch. Strong understanding of machine learning algorithms, data preprocessing, deep learning models, and NLP. Good analytical and communication skills. Experience in curriculum development or content creation is a strong plus. Exposure to e-learning, edtech, or training is desirable. Nice to Have: Published work, blogs, or GitHub projects in AI/ML. Experience with LLMs, GenAI, or RAG frameworks. Prior instructional design or teaching experience. Exposure in effectively lead and manage a team by allocating tasks based on individual strengths and capabilities to ensure optimal performance and successful project delivery.

Perform manual user access review and access control matrix review periodically. Reconciliation, validation of data, rectification of observations before sharing them with any auditors Publish periodic dashboards about review and ongoing audit updates to management Execute and deliver automation projects end to end Face various internal and external auditors. Provide evidence, data, and resolution on observations and process improvement to avoid further observations A team player with good communication skills Proficient in excel and power-point Adaptive in learning new skills Python knowledge will be added advantage

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Python Developer with a strong understanding and practical experience in leveraging AI for code execution, generation, and optimization, specifically combined with expertise in Optical Character Recognition (OCR).

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities: 1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills: 1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information: 1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: - Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. - Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. - Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. - Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. - Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. - Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. - Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. - 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. - Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture. Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. - Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. - Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. - Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. - Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot, generative AI models, prompt Engineering. V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education