data scientist

ey - gds consulting - ai and data -gen ai - senior Jobs in Hyderabad

ey - gds consulting - ai and data -gen ai - senior

data scientist - go/jc/1384/2025 Jobs in Hyderabad

data scientist - go/jc/1384/2025

data scientist - i

data scientists

lead data scientist gen ai

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

NxtWave

<div>
 
 
 Content Lead
 
 
 
 
 
 
 
 About Nxtwave:
 
 
 
 At NxtWave, we&rsquo;re on a mission to democratize tech skills for India&rsquo;s youth. Founded by Rahul Attuluri and alumni from prestigious institutes (IIIT Hyderabad, IIT Bombay, IIT Kharagpur) and celebrated among India&rsquo;s fastest-growing EdTech innovators, NxtWave is backed by top private equity and venture firms. We&rsquo;re officially partnered with NSDC (Ministry of Skill Development &amp; Entrepreneurship), recognized by NASSCOM and Startup India, and nurtured by a vibrant team that&rsquo;s won &ldquo;Greatest Brand in Education&rdquo; and T-Hub&rsquo;s &ldquo;Startup Spotlight Award 2023.&rdquo;
 
 
 
 
 
 Our founders are Forbes India 30 Under 30 honorees, and our reach extends across 647+ districts, impacting over 1,750 companies&mdash;including Google, Amazon, Nvidia, and Deloitte.
 
 
 Learn more:
 
 www.ccbp.in
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Make an Impact: Enable thousands of youth to launch their tech careers, regardless of background or language.
 </li>
 <li>
 Learn and Grow: Access best-in-class mentorship, upskilling, and the latest EdTech tools.
 </li>
 <li>
 Progress Your Career: A visible path to senior roles in curriculum operations, EdTech project management, or academic partnership management.
 </li>
 <li>
 Rewards &amp; Balance: Enjoy competitive salary, performance bonuses, health insurance
 
 ,
 
 a 5-day workweek, and a supportive, inclusive culture.
 </li>
 </ul>
 
 
 Job Summary
 
 
 
 As a Content Lead at NxtWave, you will shape the strategic vision and operational excellence behind our technical curriculum, including core areas like MERN Full Stack, Python, and AI. You will lead a high-performing team to create, maintain, and continuously innovate on comprehensive educational content that empowers learners to thrive in the modern tech workforce.
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 
 
 1. Curriculum Strategy and Vision
 
 
 <ul>
 <li>
 Define and own the strategic direction of the technical curriculum across core domains in atleast MERN Full Stack, Python or Gen AI.
 </li>
 <li>
 Translate business goals, learner needs, and industry expectations into curriculum frameworks and actionable content roadmaps.
 </li>
 <li>
 Ensure the curriculum remains dynamic, relevant, and aligned with both hiring trends and future tech trajectories.
 </li>
 </ul>
 
 
 2. Team Leadership and Mentorship
 
 
 <ul>
 <li>
 Lead a team of Technical Curriculum Developers (TCDs) and Subject Matter Experts (SMEs), providing them with clear direction, support, and professional growth opportunities.
 </li>
 <li>
 Oversee individual and team roadmaps, ensuring timely and high-quality content delivery.
 </li>
 <li>
 Build a strong feedback culture through regular review cycles, constructive critique, and shared best practices.
 </li>
 </ul>
 
 
 3. Content Development and Oversight
 
 
 <ul>
 <li>
 Supervise the planning, design, and development of comprehensive learning materials including instructional content, assessments, hands-on projects, and revision modules.
 </li>
 <li>
 Ensure content is technically accurate, pedagogically sound, and optimized for different learning styles and levels.
 </li>
 <li>
 Establish and enforce content standards and documentation practices that enhance consistency and scalability.
 </li>
 </ul>
 
 
 4. Curriculum Maintenance and Upgrades
 
 
 <ul>
 <li>
 Implement regular audit and update cycles to maintain curriculum relevance and technical freshness.
 </li>
 <li>
 Drive proactive revisions based on feedback from delivery teams, learner analytics, and emerging industry standards.
 </li>
 <li>
 Maintain content hygiene by identifying outdated modules, improving weak areas, and phasing out redundant topics.
 </li>
 </ul>
 <li>
 </li>
 
 
 5. Enhancing Learning Experience
 
 
 <ul>
 <li>
 Collaborate with instructional designers and delivery teams to improve the learner journey across content formats.
 </li>
 <li>
 Ensure curriculum is engaging, outcomes-driven, and structured for strong concept retention and practical application.
 </li>
 <li>
 Innovate around learning formats&mdash;introducing visual learning elements, guided walkthroughs, microlearning units, and contextual learning flows.
 </li>
 </ul>
 
 
 6. AI and Technology Integration
 
 
 <ul>
 <li>
 Actively explore and implement AI-powered learning enhancements&mdash;such as personalized feedback, auto-generated practice questions, or interactive AI tutors.
 </li>
 <li>
 Infuse emerging technologies like LLMs, prompt engineering, and Gen AI tools into the curriculum as both learning content and content development enablers.
 </li>
 <li>
 Stay current with advancements in AI and edtech to continuously raise the bar for innovation in learning delivery.
 </li>
 </ul>
 
 
 7. Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work closely with Product, Delivery, and Marketing teams to ensure curriculum is aligned with platform capabilities, learner expectations, and brand messaging.
 </li>
 <li>
 Collaborate with delivery leads to equip instructors with the right resources and ensure curriculum-readiness for live sessions.
 </li>
 <li>
 Contribute to learner support strategies by identifying content-level interventions that improve engagement, progression, and outcomes.
 </li>
 </ul>
 
 
 8. Process Building and Operational Excellence
 
 
 <ul>
 <li>
 Design scalable systems and processes for curriculum planning, development, review, and release.
 </li>
 <li>
 Drive documentation practices that make it easy to onboard new team members, audit existing content, and track version history.
 </li>
 <li>
 Anticipate bottlenecks, manage dependencies, and ensure smooth execution of high-volume content pipelines.
 </li>
 </ul>
 <li>
 </li>
 <li>
 </li>
 <li>
 </li>
 
 
 
 
 
 9. Data-Driven Improvement
 
 
 <ul>
 <li>
 Regularly review learner analytics, course completion data, and assessment outcomes to uncover areas for content improvement.
 </li>
 <li>
 Collaborate with analytics and learner success teams to understand drop-off points, confusion hotspots, or performance gaps.
 </li>
 <li>
 Apply insights to design more effective learning paths, better scaffolding, and measurable progression benchmarks.
 </li>
 </ul>
 
 
 10. Thought Leadership and Innovation
 
 
 <ul>
 <li>
 Champion innovation within the curriculum team by encouraging experimentation, piloting new formats, and scaling successful initiatives.
 </li>
 <li>
 Identify and launch high-leverage projects that push the boundaries of traditional curriculum models.
 </li>
 <li>
 Represent the curriculum function in key leadership conversations and contribute to NxtWave&rsquo;s larger vision of transforming tech education in India.
 </li>
 </ul>
 <li>
 </li>
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Science, Engineering, or related technical field.
 </li>
 <li>
 Min 1 year+ hands-on software development experience and 1 year+ experience in technical content creation or curriculum development.
 </li>
 <li>
 Experience leading or mentoring content or technical teams.
 </li>
 <li>
 Strong foundation in core programming concepts and preferable domain expertise in frontend and backend tech.
 </li>
 <li>
 Familiarity with Gen AI tools, LLMs, and prompt engineering.
 </li>
 <li>
 Exceptional written and verbal communication skills.
 </li>
 <li>
 Passion for building impactful, learner-centered educational content.
 </li>
 </ul>
 
 
 Job Overview
 
 
 <ul>
 <li>
 Location: Hyderabad
 </li>
 <li>
 Job Type: Full-Time
 </li>
 <li>
 Work Mode: Office-based
 
 
 </li>
 <li>
 Working Days: 6-day week
 </li>
 </ul>
 
 
</div>

Content Lead

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

<div>
 
 Overview
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics, and AI (D&amp;AI) transforms data into consumer delight. We build and organize business-ready data and AI allowing PepsiCo&rsquo;s leaders to solve problems with the highest degree of confidence. Our data, analytics, AI products and services ensure our digital transformation is delivered at scale enabling new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 As part of the Global Data &amp; AI Architecture team, Architects are responsible for making PepsiCo&rsquo;s strategic vision real by defining the right architecture for conceiving, initiating, and shepherding high-priority data, analytics, and AI enabling capabilities.
 
 
 The successful candidate will have a deep knowledge of master data management, know how to simplify multi-faceted concepts into succinct messaging that sets and drives strategic direction, and have a proven ability to work with others on complex projects
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines MDM architecture principles and design patterns and styles to support all styles of MDM (Registry, Consolidation, Coexistence, Centralization) and for publishing and subscribing to master data for operational and analytical applications.
 </li>
 <li>
 Defines tech strategy (leads tech evaluation and selection, including POCs) for Master Data Management capabilities, and secures alignment across the following stakeholders: Global Data Governance, Data Platform, D&amp;AI leadership
 </li>
 <li>
 Perform regular and thorough market research, both with our existing product vendors, 3rd party research agencies like Gartner, and prospective vendors to stay one step ahead of the latest trends in the MDM space. Evolve technology strategy and north star architecture accordingly.
 </li>
 <li>
 Evaluates existing MDM architectures and lays out roadmap to achieve north star architecture, driving rationalization of existing MDM solutions across the enterprise.
 </li>
 <li>
 Lead the Master Data Management Architecture Community of Practice, providing coaching and guidance to D&amp;AI solution architects, Enterprise Architects, and program teams on the use of MDM capabilities, principles, and patterns.
 </li>
 <li>
 Govern D&amp;AI products solution architectures to ensure alignment with MDM standards and minimize tech debt, maximize reuse and speed to market
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Experience
 
 
 <ul>
 <li>
 10+ years implementing MDM solutions across domains for large multi-country enterprises with complex product lines, with expert knowledge of master data harmonization, standardization, and the 4 styles of MDM (Registry, Consolidation, Coexistence, Centralization).
 </li>
 <li>
 10+ years of experience with solution architecture, across MDM and data integration
 </li>
 <li>
 Bachelor&rsquo;s Degree required; master&rsquo;s degree preferred
 </li>
 <li>
 Consulting experience building data, analytics and AI strategies for clients strongly preferred
 </li>
 <li>
 Experience working in large, multinational, enterprises
 </li>
 <li>
 Experience with large enterprise transformations
 </li>
 <li>
 Experience in CPG industry preferred
 </li>
 <li>
 Experience driving technology evaluations across a wide range of vendors using a formal evaluation process.
 
 
 </li>
 </ul>
 Functional Skills
 
 
 <ul>
 <li>
 Expert knowledge of key MDM and Data Integration platforms such as Informatica MDM, Informatica Data Integration, Address Standardization tools like SAP Data Services, Address Doctor.
 </li>
 <li>
 Expert knowledge in MDM strategies and styles (Registry, Consolidation, Coexistence, Centralization) and in delivering MDM solutions for complex large enterprises
 </li>
 <li>
 Exposure and understanding of existing digital and emerging technologies (AI including Gen AI and how it can improve MDM, Data &amp; Analytics, Data Integration)
 </li>
 <li>
 Systems thinking, understanding of relationships between various systems
 </li>
 <li>
 Thorough understanding of the architecture guiding principles / modern architecture and leveraging them to design forward-looking solutions.
 </li>
 <li>
 Ability to demonstrate a mindset for the Conceptual, Logical, Physical levels of architecture and apply them effectively.
 </li>
 <li>
 Familiarity with information management practices, system development life cycle management, IT services management, infrastructure and operations, and EA frameworks
 </li>
 <li>
 Ability to influence senior stakeholders on following technology strategy and solution design for key initiatives to align with standards and architecture guiding principles
 
 
 </li>
 </ul>
 Differentiating Competencies Required:
 
 
 <ul>
 <li>
 Demonstrate interest in continuous self-learning and willingness to apply outside in thinking.
 </li>
 <li>
 Constantly adaptable to an ever-changing set of priorities.
 </li>
 <li>
 Master at the art of influencing to drive alignment at all levels of the organization, from development teams on usage of design patterns to Sr. VPs on tech strategy and solution rationalization.
 </li>
 <li>
 Excellent collaboration skills, also at all levels of the organization.
 </li>
 <li>
 Executive level written, verbal, communication and presentation skills.
 </li>
 <li>
 Ability to turn complex things and diverse data into meaningful insights/conclusions and executive messaging
 </li>
 <li>
 Apply proper level of thoroughness and due diligence to architecture recommendations
 </li>
 </ul>
</div>

Director - Master Data Management (MDM) Domain Architect

<div>
 
 About NxtWave:
 
 
 NxtWave is revolutionizing the 21st-century job market by transforming into highly skilled tech professionals irrespective of their educational background with our CCBP 4.0 programs.
 
 
 By offering vernacular content and interactive learning, NxtWave is breaking the entry barrier for learning tech skills. Learning in their mother tongue helps learners achieve higher comprehension, deeper attention, longer retention and greater outcomes.
 
 
 NxtWave was founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur).
 
 
 NxtWave now has paid subscribers from 450+ districts across India who have spent 500 million minutes on its learning platform so far. In the last 12 months, NxtWave learners have been hired by 800+ companies including Google, Amazon, Nvidia, Goldman Sachs, Oracle, IBM, Bank of America, Deloitte and more.
 
 
 We're growing fast and we need your talent, skills, and passion.
 
 
 Know more about NxtWave:
 
 https://www.ccbp.in
 
 
 
 Read more about us in the news -
 
 Economic Times
 
 |
 
 The Hindu
 
 |
 
 Yourstory
 
 |
 
 VCCircle
 
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a high-performance Corporate Relations Manager (CRM) who will be responsible for identifying hiring needs, onboarding new companies, driving strategic placement partnerships, and managing end-to-end talent pipelines from requirement to closure.
 
 
 This is a revenue-impacting, target-driven role requiring strong stakeholder management, analytical thinking, negotiation skills, and proactive problem-solving.
 
 
 
 Key Responsibilities
 
 
 
 1. Talent Partnership Acquisition &amp; Development
 
 <ul>
 <li>
 Identify and generate new hiring partnerships with startups, GCCs, enterprises, and staffing firms.
 </li>
 <li>
 Conduct research on industry trends and build a strong outbound pipeline using digital tools, AI lead sourcing, and professional networks.
 </li>
 <li>
 Pitch NxtWave&rsquo;s talent solutions and Edge assessments to decision-makers (CHROs, CTOs, Talent Heads, Founders).
 </li>
 </ul>
 
 
 
 
 
 2. Requirement Management &amp; Conversions
 
 
 <ul>
 <li>
 Own the complete hiring funnel: JD understanding &rarr; Ensure continuous supply-to-demand mapping with relevant, assessed candidates.
 </li>
 <li>
 Negotiate terms, facilitate salary finalizations, and maximize placement outcomes.
 </li>
 </ul>
 
 
 3. Stakeholder Relationship Management
 
 
 <ul>
 <li>
 Act as a Point of Contact (SPOC) for partner companies.
 </li>
 <li>
 Maintain strong engagement through regular updates, placement reports, and hiring insights.
 </li>
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 Build long-term strategic relationships ensuring repeat business and multi-role partnerships.
 </li>
 </ul>
 
 
 4. Data &amp; Funnel Ownership
 
 
 <ul>
 <li>
 Track leading and lagging metrics, Use CRM tools, Google Sheets, CRM Tools, AI automations to maintain clean dashboards and forecast hiring trends.
 </li>
 </ul>
 
 5. Brand &amp; Market Presence
 
 <ul>
 <li>
 Represent NxtWave in industry events, hiring conclaves, and networking forums.
 </li>
 <li>
 Contribute to case studies, testimonials, and thought leadership via LinkedIn and client success stories.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Capabilities
 
 
 <ul>
 <li>
 1&ndash;5 years&rsquo; experience in B2B sales, corporate hiring, staffing, or enterprise partnerships.
 </li>
 <li>
 Excellent communication &amp; consultative selling abilities.
 </li>
 <li>
 Strong negotiation and closure skills with a revenue-driven mindset.
 </li>
 <li>
 Proficiency in CRM tools, GSuites, LinkedIn Sales Navigator, Apollo or similar platforms.
 </li>
 <li>
 Ability to leverage AI tools for research, outreach automation, pitch preparation, and performance tracking.
 </li>
 </ul>
 
 
 Personal Attributes
 
 
 <ul>
 <li>
 Target &amp; Outcome Driven: Strong focus on achieving placement numbers and partner satisfaction.
 </li>
 <li>
 Ownership Mindset: Acts as a business owner for assigned accounts.
 </li>
 <li>
 Process &amp; Tech Oriented: Uses automation, dashboards, and AI-enabled workflows to optimize performance.
 </li>
 <li>
 Executive Presence: Can confidently engage CXOs, VPs, HR Heads, and Hiring Managers.
 </li>
 </ul>
 
 
 
 
 Perks &amp; Growth
 
 <ul>
 <li>
 Opportunity to work with top-tier companies and industry leaders.
 </li>
 <li>
 Fast growth trajectory linked directly to performance.
 </li>
 <li>
 Exposure to AI-driven sales and next-gen hiring technologies.
 </li>
 </ul>
 
 Leadership mentoring and accelerated career path.
 
</div>

Corporate Relations Manager

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