cloud architect

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

Pidilite Industries Limited

<div>
 
 Hi
 
 
 Pidilite is hiring for Key Account Sales Executive
 
 
 Location : Hyderabad
 
 
 
 Skill and Designation : Key Account Sales Executive
 
 ( Project Sales )
 
 
 Exp : 4 to 13 years exp in Project Sales ( Good exposure in Architect segment from building material , construction chemical )
 
 
 
 Note : Its Individual contributor role
 
 
 
 Education : Any Graduate
 
 
 Communication : Excellent communication
 
 
 Industry Exp : Cement ,Construction Chemical ,Building Material ,Plywood, Laminate, Tiles, Ceramics ,Bath fitting ,Paint ETC
 
 
 
 Job description
 
 
 
 
 Responsibilities:-
 
 
 
 A person who has worked in cement / paint industry /Building Material with 4-5 years min work ex and has worked with builders to activate them is criteria 1
 
 
 Candidates who have worked with key accounts (small size)
 
 
 Candidates who have an exposure to retail management are preferred than pure project profile as mentioned in point 2
 
 
 
 
 
 Interested please share updated resume to ots1281@pidilite.com or please contact at given no. 9007377402
 
 
 Regards
 
 
 Sabita Roy
 
</div>

Project Sales

Aptimized

<div>
 
 
 
 ERP&ndash; SAP Security(BTP, S/4 HANA Cloud, SAC, Datasphere)
 
 
 
 
 
 
 
 We are looking for an experienced
 
 SAP Security Consultant
 
 with proven expertise in
 
 SAP Business Technology Platform (BTP)
 
 ,
 
 SAP Datasphere
 
 ,
 
 SAP Analytics Cloud (SAC) security
 
 ,
 
 SAP S/4HANA Public Cloud security along IAS/IPS
 
 . The consultant will be responsible for managing end-to-end security, system operations, and compliance, ensuring that SAP cloud and hybrid landscapes are secure, scalable, and audit-ready
 
 
 
 
 
 
 
 
 
 Location: Offshore
 
 
 
 
 Positions: One
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 SAP Security
 
 
 <ul>
 <li>
 Design and implement
 
 role-based access control (RBAC)
 
 across SAP applications (S4HANA / BTP / Datasphere / SAC)..
 </li>
 <li>
 Maintain and govern
 
 user, role, and authorization concepts
 
 aligned with business and compliance requirements.
 </li>
 <li>
 Collaborate with Basis and functional teams to manage
 
 authorization objects
 
 ,
 
 profiles
 
 , and
 
 security transports
 
 .
 </li>
 </ul>
 
 
 SAP Datasphere Security
 
 
 <ul>
 <li>
 Support and enhance
 
 spaces, roles, and access control models
 
 .
 </li>
 <li>
 Define
 
 row-level and object-level security
 
 for secure data consumption.
 </li>
 <li>
 Implement and monitor
 
 connection-level security
 
 between Datasphere, SAC, and other source systems.
 </li>
 <li>
 Ensure compliance and governance for enterprise data access.
 </li>
 </ul>
 
 
 SAP Analytics Cloud (SAC) Security
 
 
 <ul>
 <li>
 Configure
 
 authentication and authorization models
 
 (SSO, SAML, OAuth).
 </li>
 <li>
 Manage
 
 roles, content access, and data security
 
 in SAC.
 </li>
 <li>
 Support audits and ensure SAC aligns with organizational security policies.
 </li>
 </ul>
 
 
 SAP S/4HANA Public Cloud Security
 
 
 <ul>
 <li>
 Maintain
 
 business roles and authorization concepts
 
 in S/4HANA Public Cloud.
 </li>
 <li>
 Manage
 
 identity and access management (IAM)
 
 , including integration with SAP IAS/IPS.
 </li>
 <li>
 Support
 
 compliance, SoD analysis, and audit requirements
 
 .
 </li>
 <li>
 Work with functional teams to ensure secure business processes.
 </li>
 </ul>
 
 
 Collaboration &amp; Governance
 
 
 <ul>
 <li>
 Partner with audit, compliance, and IT security teams to align with governance standards.
 </li>
 <li>
 Document system and security configurations, processes, and controls.
 </li>
 <li>
 Provide
 
 best practices, advisory, and technical guidance
 
 to project and business teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 
 6&ndash;10 years of SAP Security experience
 
 with strong focus on
 
 cloud solutions
 
 .
 </li>
 <li>
 Hands-on expertise with:
 </li>
 <li>
 
 SAP Datasphere security
 
 (roles, spaces, object/data-level access).
 </li>
 <li>
 
 SAP SAC security
 
 (authentication, authorization, content/data security).
 </li>
 <li>
 Good understanding of
 
 Identity Authentication Service (IAS)
 
 ,
 
 Identity Provisioning Service (IPS)
 
 </li>
 <li>
 Strong problem-solving, communication, and documentation skills.
 </li>
 </ul>
 
 
</div>

SAP Security Consultant

Microsoft

<div>
 Microsoft&rsquo;s Cloud business is expanding rapidly, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure that powers this growth &mdash; including AI. CSCP&rsquo;s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale, and its mission is to deliver the world&rsquo;s computer with an industry-leading supply chain. In addition to traditional supply chain functions such as plan, source, make, and deliver, CSCP also manages supportability (spares), sustainability, and global decommissioning of datacenter assets.
 
 
 We deliver the core infrastructure and foundational technologies for more than 200 Microsoft online businesses &mdash; including Bing, Office 365, Xbox Live, OneDrive, and the Azure platform &mdash; serving over 1 billion customers in 90+ countries through 300+ datacenters worldwide.
 
 
 The Microsoft Capacity Planning (MCP) team within CSCP is tasked with planning all aspects of capacity across the Azure fleet. Our aspiration is to provide fully automated and highly optimized capacity planning systems. As a member of MCP, you will collaborate with engineers, program managers, and planners across CSCP, translating business problems into scalable solutions and driving them end-to-end from design to production. You will also contribute to strategic decisions for all capacity-impacting features.
 
 
 We are seeking a talented Data Scientist to develop and apply advanced methods in operations research, stochastic optimization, simulation, and large-scale mathematical programming, augmented by core computer science disciplines such as algorithms, data structures, and distributed computing. Your work will focus on capacity planning, inventory optimization, and scenario analysis, designing research-driven models to solve complex challenges in cloud supply chain planning.
 
 
 The impact of your work will be measured through improvements in Azure capacity fulfillment, platform efficiency, COGS reduction, and customer satisfaction. Our team partners closely with engineering, applying state-of-the-art machine learning and constrained optimization techniques to some of the most complex real-world problems at scale. If you are excited by cutting-edge methods and their application in a dynamic, global environment, you will thrive on our team as we deliver world-class innovation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop optimization algorithms and production-grade libraries, conduct experiments to support planning and execution in Microsoft&rsquo;s Cloud Supply Chain business.
 </li>
 <li>
 Apply best practices in data science, software engineering, and operations research to deliver impactful solutions.
 </li>
 <li>
 Drive improvements to the design, architecture, and user experience of Microsoft first-party planning tools, enhancing the productivity of Cloud Supply Chain Planners.
 </li>
 <li>
 Collaborate with cross-functional teams to improve platform manageability and influence strategic decisions for capacity-impacting features.
 </li>
 <li>
 Contribute to team culture and apply engineering and data science best practices in daily work.
 </li>
 <li>
 Apply best practices in data science, software engineering, and operations research to deliver impactful solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s in Data Science, Computer Science or related field with specialization in Operation Research.
 </li>
 <li>
 3+ years of hands-on experience solving planning and optimization problems in supply chain domains such as capacity planning, inventory optimization and buffer planning.
 </li>
 <li>
 Strong computer science foundation with experience in designing and building production-grade algorithms, and systems.
 </li>
 <li>
 Azure Cloud Services development experience, or related.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, Java, C#, etc., and experience with relational databases (Kusto, SQL ).
 </li>
 <li>
 Solid understanding of modern cloud architecture and technologies.
 </li>
 <li>
 A proven track record of collaborating across organizational boundaries and delivering great results.
 </li>
 <li>
 Demonstrated ability to think from first principles and translate complex business problems into scalable technical solutions.
 </li>
 <li>
 Comfortable working across the boundaries of data science, operations research, and software engineering.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctoral degree in Data Science, Computer Science, Operations Research, or a related field.
 </li>
 <li>
 Published research in leading operations research journals (e.g., INFORMS).
 </li>
 <li>
 Proven track record in building commercial-grade inventory optimization software.
 </li>
 <li>
 Experience conducting UX research to inform product and system design.
 </li>
 <li>
 Experience with globally distributed cloud systems, with emphasis on quality, scalability, and reliability.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Data & Applied Scientist II

LTIMindtree

<div>
 
 Hi All,
 
 
 
 
 We are conducting Face-to-Face Interview on 8TH NOVEMBER at HYDERABAD
 
 LTIMindtree
 
 .
 
 
 
 
 Below skillset candidates can apply (Share updated cv at
 
 chandrani.gupta@ltimindtree.com
 
 )
 
 
 
 
 
 ETL TESTER WITH SQL
 
 is Mandatory skill along with that -
 
 
 
 Automation
 
 Java Selenium OR
 
 Python
 
 
 
 Automation Skills Selenium Java Selenium Python with API Automation
 
 
 AWS Cloud data Testing,
 
 
 Cloud Testing, Data Automation,
 
 
 ETL / Datawarehouse testing,
 
 
 Python Data Automation Testing,
 
 
 Selenium-Java -Testing,
 
 
 SQL &amp; Database testing.
 
 
 
 
 Location-Hyderabad
 
 
 Years of Exp- 5+ to 8 years
 
 
 Notice- immediate to 30days.
 
 
 
 
 
 Interested candidates share cv at chandrani.gupta@ltimindtree.com.
 
 
</div>

Software Tester

Egen

<div>
 
 Job Description :
 
 
 
 We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.
 
 
 You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.
 
 
 
 What we're looking for:
 
 
 
 <ul>
 <li>
 At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production
 </li>
 <li>
 At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers
 </li>
 <li>
 At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)
 </li>
 <li>
 Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
 </li>
 <li>
 Design, develop, and operationalize existing ML models by fine tuning, personalizing it
 </li>
 <li>
 Evaluate machine learning models and perform necessary tuning
 </li>
 <li>
 Develop prompts that instruct LLM to generate relevant and accurate responses
 </li>
 <li>
 Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation
 </li>
 <li>
 Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance
 </li>
 <li>
 Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies
 </li>
 <li>
 Hands on customer experience with RAG solution or fine tuning of LLM model
 </li>
 <li>
 Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools
 </li>
 <li>
 Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment
 </li>
 <li>
 Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving
 </li>
 <li>
 Proven experience building and deploying machine learning models in production environments for real life applications
 </li>
 <li>
 Good understanding of natural language processing, computer vision or other deep learning techniques
 </li>
 <li>
 Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain)
 </li>
 <li>
 Familiarity with Google Cloud or any other Cloud Platform and its machine learning services
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent
 </li>
 <li>
 Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure
 </li>
 <li>
 Experience with AutoML and vision techniques
 </li>
 <li>
 Master&rsquo;s degree in statistics, machine learning or related fields
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Engineering  Manager-AI/ML

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 In this role primary responsibility is to perform testing for Cloud Native Database features. This includes understanding feature specifications early in the development cycle to create test specifications, test cases, and test plans under the guidance of feature test architects. This is a key testing position accountable to perform end-to-end testing of complex database features including functional, regression and performance testing ensuring that the features are delivered with high quality in committed timelines.
 
 
 
 Who you will work with:
 
 
 
 You will join a team of dedicated professionals who strive to deliver high quality features with passion, excellence, collaboration, and innovation. You will have the opportunity to express your creativity and originality in the projects.
 
 
 
 What Makes You a Qualified Candidate:
 
 
 
 <ul>
 <li>
 BE/B. Tech/M. Tech degree in Computer Science/Information Technology or related field with 2+ years of programming experience and/or software testing experience.
 </li>
 <li>
 Strong scripting knowledge in Shell/Python
 </li>
 <li>
 Experience in working with Relational Databases (RDBMS) and SQL
 </li>
 <li>
 Experience with cloud-based development and systems, having worked on projects involving AWS, Azure and Google Cloud platforms
 </li>
 <li>
 Expertise in the utilization of AI and analytical tools based on the requirements.
 
 
 </li>
 </ul>
 
 What You will bring:
 
 
 
 <ul>
 <li>
 Primarily responsible for the end-to-end testing of cloud database features
 </li>
 <li>
 Ability to understand features and functionalities from the design documents
 </li>
 <li>
 Ability to write feature test specifications, develop and automate test cases
 </li>
 <li>
 Testing the bug fixes, provide assistance in debugging and isolating the issues
 </li>
 <li>
 Ability to learn, adapt new technologies and attention to detail
 </li>
 <li>
 Working experience in Agile Software Development with exposure to test driven development
 </li>
 <li>
 Proven record in completing/delivering features
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Strong interpersonal skill for effective teamwork
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Test and Automation Engineer

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