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LTIMindtree

<div>
 
 
 
 Data Quality Engineer
 
 
 
 
 
 
 
 
 Experience: 5+ Years
 
 
 
 
 Location: Hyderabad/Gurgoan/Noida
 
 
 
 
 Notice Period: 0-30 days
 
 
 
 
 Work Mode: Hybrid
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Design and execute ETL test plans and cases including automated scripts
 </li>
 <li>
 Validate data transformations and loading processes utilizing automation where possible
 </li>
 <li>
 Identify and document data discrepancies and errors automating error detection
 </li>
 <li>
 Perform data quality profiling and analysis employing automated data quality checks
 </li>
 <li>
 Write and execute SQL queries for data validation and automate data validation processes
 </li>
 <li>
 Test database stored procedures and functions creating automated test suites
 </li>
 <li>
 Document test results and create detailed reports automating report generation
 </li>
 <li>
 Track and manage defects using bug tracking tools and automate defect reporting
 </li>
 <li>
 Collaborate with developers and analysts to resolve data issues and contribute to automated testing frameworks
 </li>
 <li>
 Ensure data compliance with business rules and standards implementing automated compliance checks
 </li>
 </ul>
 
 
 
 
 
 
 Key Requirements
 
 
 
 
 
 
 <ul>
 <li>
 5years of experience in data quality and ETL testing
 </li>
 <li>
 Strong understanding of ETL concepts data warehousing principles and database systems
 </li>
 <li>
 Proficiency in SQL and experience with relational databases PostgreSQL SQL Server Snowflake
 </li>
 <li>
 Experience with ETL tools eg Informatica Talend DataStage AWS Glue Azure Data Factory
 </li>
 <li>
 Experience with cloudbased data platforms eg AWS Azure GCP is a plus
 </li>
 <li>
 Familiarity with data quality tools and techniques
 </li>
 <li>
 Experience with test management and bug tracking tools eg Jira Azure DevOps
 </li>
 <li>
 Experience with AgileScrum methodologies
 </li>
 </ul>
 
 
 
 
 
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Very good communication skills
 </li>
 <li>
 Ability to easily fit into a distributed development team
 </li>
 <li>
 Ability to manage timelines of multiple initiatives
 </li>
 <li>
 Selfmotivated especially with respect to learning new software tools and best practices in software quality assurance
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re ready to make an impact and grow your career, let&rsquo;s connect!
 
 
 
 Disclaimer
 
 : At LTIMindtree, we believe in creating a culture of innovation, which reflects in everything we do. Empower yourself with possibilities that will take you to newer heights and will open to you newer avenues. Experience a vibrant work environment, brimming with new ideas, diverse people, and the innate drive to excel.
 
 
 Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same.
 
 
 LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law.
 
 
 
</div>

Quality Analyst

AiFA Labs

<div>
 Title: Technical Project manager
 
 
 Location: Hyderabad
 
 
 Experience: 10&ndash;12 years
 
 
 Employment Type: Full-time
 
 
 
 About The Role
 
 
 
 We are seeking a Technical Project Manager (TPM) with a strong foundation in IT automation, infrastructure, and security. This role is ideal for someone who started their career in a technical track (DevOps, Infra, or Security) and later moved into project/delivery management. The TPM will manage complex client-facing projects, coordinate cross-functional teams, and ensure on-time, high-quality delivery while maintaining compliance and governance.
 
 
 Key Responsibilities
 
 
 Project Delivery &amp; Execution
 
 
 Lead end-to-end delivery of IT automation and security projects.
 
 
 Create project plans, track milestones, and provide regular client and internal reporting.
 
 
 Technical Understanding &amp; Oversight
 
 
 Review architecture diagrams, logs, and error reports to anticipate issues early.
 
 
 Validate technical estimates and ensure realistic timelines with engineering teams.
 
 
 Translate client requirements into actionable technical tasks without overloading engineers.
 
 
 Client Engagement
 
 
 Serve as the single point of contact for clients.
 
 
 Explain technical impacts (e.g., infra compatibility, compliance risks) in business-friendly language.
 
 
 Manage scope, customizations, and change requests effectively.
 
 
 Cross-Functional Coordination
 
 
 Align development, QA, DevOps, and infrastructure teams for integrated delivery.
 
 
 Balance workloads across frontend, backend, infra, and security tracks.
 
 
 Compliance &amp; Governance
 
 
 Ensure solutions align with enterprise standards (ISO 27001, SOC 2, HIPAA, etc.).
 
 
 Track security and compliance requirements, including privileged access and audit trails.
 
 
 Process &amp; Risk Management
 
 
 Define delivery governance: SLA tracking, dashboards, bug trend analysis.
 
 
 Proactively identify risks and implement mitigation strategies.
 
 
 
 Required Skills &amp; Experience
 
 
 
 10&ndash;12 years of IT experience, with at least 5 years in project/program management.
 
 
 Prior hands-on background in DevOps, Infrastructure, or Security (not necessarily current coding, but strong technical grounding).
 
 
 Proven success managing projects with multi-technology stacks (Frontend, Backend, Infra, Security).
 
 
 Strong understanding of automation frameworks, privileged access/security concepts, and workflow orchestration.
 
 
 Experience in client-facing delivery roles, handling escalations and requirement translation.
 
 
 Proficiency in Agile/Scrum practices and tools (JIRA, Confluence).
 
 
 Excellent communication and stakeholder management skills.
 
 
 Nice-to-Have
 
 
 Experience in large-scale IT operations automation or compliance-driven environments.
 
 
 Certifications: PMP, PRINCE2, CSM, or SAFe.
 
 
 Exposure to AI/automation-driven platforms.
 
 
 Skills: security,devops,infrastructure,it,automation,project
</div>

Technical Project manager

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level
 
 : Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
 </li>
 <li>
 Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
 </li>
 <li>
 Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
 </li>
 <li>
 Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
 </li>
 <li>
 Model deployment on Cloud or On-prem will be an added advantage
 </li>
 <li>
 Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
 </li>
 <li>
 Deliver large-scale DS/ML end to end projects across multiple industries and domains
 </li>
 <li>
 Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
 </li>
 <li>
 Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data &amp; AI professionals to deliver projects from inception to implementation
 </li>
 <li>
 Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
 </li>
 <li>
 Drive a human-led culture of Inclusion &amp; Diversity by caring deeply for all team members
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
 </li>
 <li>
 AI/Cloud certification from a premier institute is preferred.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 300100
</div>

Consultant-Machine Learning

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

Delaplex

<div>
 
 About Company
 
 
 
 Delaplex is currently seeking a Solution Architect to join our Consulting Services team, specifically to the Infor WMS (Warehouse Management Systems). Solution Architect provides leadership and direction to the on-site implementation team on the design and execution of the solution and definition of business process workflows that accompany the solution. This role aims to take ownership of a solution within an implementation project and architect for software solutions that solve the customers business problem, while generating maximum value for the customer.
 
 
 
 Position Name: Infor WMS Business Consultant
 
 
 
 
 Experience: 4- 8 years
 
 
 
 
 Qualifications &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Information Technology, or related field.
 </li>
 <li>
 Proven experience as a Business Consultant with domain experience in Infor WMS.
 </li>
 <li>
 Expertise performance tuning and database administration.
 </li>
 <li>
 Strong understanding of technical platforms, infrastructure, and database structures.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently.
 </li>
 <li>
 Effective verbal and written communication skills; able to collaborate with stakeholders to resolve issues and estimate project timelines.
 </li>
 <li>
 Design reusable components and promote reusability using microservices-style architecture in SaaS environments.
 </li>
 <li>
 Provide guidance during implementation of product performance, support, and maintenance; deliver technical support including design review, installation, configuration, troubleshooting, and system testing.
 </li>
 <li>
 Contribute to practice growth by developing practice aids and best-practice collateral; conduct technical analysis sessions to translate functional and technical requirements into tailored solutions.
 </li>
 <li>
 Enable and deliver knowledge transfer to teams on best practices and emerging technologies.
 
 
 </li>
 </ul>
 Skills: performance tuninng,infor wms,warehouse management systems,database administration
</div>

Infor WMS Business Consultant

<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

Tata Consultancy Services

<div>
 
 
 Greetings From TCS!!!!!
 
 
 
 
 
 
 TCS is organizing a In-person Face-to-Face interview for SAP ABAP Consultant on 15th November 2025 @Hyderabad.
 
 
 
 
 
 We are inviting you to Pave your path to value with TCS Enterprise Solutions Unit.
 
 
 
 
 
 Interested Candidates only who can attend In-person face-to-face interview kindly respond at your earliest convenience so that we can schedule an interview with you
 
 
 
 
 
 
 
 
 
 TCS is Hiring for &ndash; SAP ABAP Consultant
 
 
 
 
 Experience : 5 - 15 years
 
 
 
 
 In-Person Interview Date : 15-11-25
 
 
 
 
 Venue: Hyderabad (TCS premises will be confirmed)
 
 
 
 
 
 
 
 
 
 
 Desired Competencies :
 
 
 
 
 
 
 &middot; Strong experience in SAP technical areas using ABAP in one or more core SAP modules from Master Data, Order Management, Procurement, Supply Chain to Finance.
 
 
 &middot; Minimum 3-5 full life cycle global implementations (Prior experience defining/implementing worldwide solutions across multiple legal entities in a highly complex systems and project environment) including hands-on design and development.
 
 
 &middot; Experience with implementing solutions using Dynpro, Reports, Enhancements, Object Oriented programming, BADI, User-exits, Smart Forms, SAP Script, ALE/EDI IDOCs, SOAP/REST Web Services, WebDynpro Applications, Fiori, Optimized Database programming etc., is mandatory
 
 
 &middot; Significant experience with troubleshooting and debugging complex integrated applications, deep knowledge in data model of various SAP applications and table structure is essential.
 
 
 &middot; Knowledge of basic system administration tasks such as database analysis, tracing issues, identifying performance bottlenecks is required.
 
 
 &middot; Strong business process knowledge and association of processes to technical areas in SAP is desired.
 
 
 
 
 
 
 Good to Have:
 
 
 
 
 
 
 &middot; Experience with SAP implementation methodologies and modern software development methodologies.
 
 
 &middot; Advanced understanding of software test methodologies, and experience with testing automation tools is a plus.
 
 
 &middot; Exposure to several SAP modules and ability to create test data in Sales &amp; Distribution, Materials Management, Project Systems, Service Management and FI/CO modules are of great value
 
</div>

Consultant

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