Mobility Order Management

Position: Area sales Manager – Laminates/Sunmica

Locations: Bangalore, Ranchi,Rajasthan, Gujarat (Ahmedabad, Vadodara), Uttar Pradesh (Lucknow, Varanasi, Aligarh), Delhi, Jaipur

Experience: 8+ Years in Laminates/Sunmica Sales

Industry: Building Materials / Interior Products / Laminates & Decorative Surfaces

Key Responsibilities:

• Identify, develop, and manage new business opportunities in the Laminates/Sunmica market.
• Build and strengthen relationships with dealers, distributors across assigned territories.
• Plan and execute sales strategies to achieve monthly and quarterly targets.
• Conduct regular market visits in Gujarat, Rajasthan, Delhi, and UP to expand dealer/distributor network.
• Monitor competitor activities, pricing, and marketing strategies.
• Ensure effective order fulfillment, payment follow-up, and after-sales support.
• Collaborate with the marketing and product teams to align customer feedback with product offerings.

Key Requirements:

• Minimum 8 years of experience in business development/sales of laminates, sunmica.
• Proven success in managing territory sales and dealer/distributor development in the listed regions.
• Strong contacts and network in trade channels (distributors/retailers).
• Excellent communication, negotiation, and interpersonal skills.
• Willingness to travel extensively within the assigned states/cities.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

Website: www.glansolutions.com

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Job Description

Positions: SAP: Group Consolidation

Education Qualification: CA OR MBA in Finance

Experience: 

• 8-12 years of experience as an accountant in NON- Financial services sector (Should not be financial services, ideally manufacturing, can be other services)
• 2-5 years of minimum experience in the SAP S4 HANA
• Financial services sector experience- DO NOT APPLY PLEASE

Location:  Bangalore, Gurgaon, Mumbai

CTC: 25-40 LPA pa, commensurate with experience

Skills required:

• Strong expertise in SAP finance modules (R2R, FA,AR,AP, Project Accounting, Costing, Margin Analysis)
• Experience with emerging technologies are (RPA, AI) and EPM tools (SC/Anaplan, One stream, Oracle PBCS)
• Outstanding analytical and communication skills
• Experience in managing large scale finance transformation projects
• Strong project management skills with a focus on delivering high quality results
• Ability to work in a fast-paced dynamic environment
• Excellence stakeholder management and relationship building skills
• Experience with cloud-based finance solutions
• Ability to adapt to different industries and remain current on economic developments

Responsibilities

• Lead the implementation of Group Reporting and Consolidation tools (e.g., BPC Consol, Oracle FCCS/Hyperion) from inception to completion.
• Collaborate with cross-functional teams to define project scope, goals, and deliverables.
• Develop and manage project plans, timelines, and budgets.
• Ensure successful integration of new systems with existing financial processes and systems.
• Provide expert guidance on best practices for financial consolidation and reporting.
• Conduct training sessions and workshops for end-users to ensure smooth adoption of new tools.
• Monitor and report on project progress, identifying and mitigating risks as needed.
• Work closely with stakeholders to gather requirements and translate them into technical specifications.
• Drive continuous improvement initiatives to enhance financial reporting and consolidation processes.
• Stay updated on industry trends and emerging technologies in finance transformation.

• Proficient in Solidity programming language
• Experience with wallet integrations
• Experience with ethers.js/web3.js
• Experience with Nodejs
• Experience with upgradable contracts, dynamic contracts, and factory contracts
• Design and develop smart contracts and decentralized applications on Ethereum, Polygon and Tron
• Excellent knowledge of various token standards like ERC20, ERC721 and ERC1155
• Write end-to-end unit tests for all smart contracts

• 6+ years of experience in Software Development and writing Unit tests for Mobile Apps
• Excellent designing, debugging and programming skills in an Object oriented programming language like C#, Java, javascript, Swift, Dart etc.
• Experience with Native Mobile development (Android or IOS) and Cross-Platform mobile development (preferably Flutter)
• Solid understanding of SOLID principles
• Strong knowledge of writing code for testability, modularity and extensibility
• Knowledge of test methodologies and corresponding unit test framework tools like JUnit etc.
• Excellent communication and organizational skills.
  
  

• Experience working with BloC Pattern and Dependency Injection
• Knowledge of Eventing based programming patterns. 
• Exposure to integrating Performance, Analytics, Attribution tools
• Experience of using Flavors in application development
• Knowledge of Multi-module development in Flutter (ex- via Melos)

• Work with the product team and drive design, development and delivery of new features.
• Investigate and fix issues referred to by the support team. Write code to automate tests to automate regressions.
• Work on improving stability, debuggability, testability of existing functionalities/modules/components
• Integrate REST and GraphQL APIs and consume in app.
• Serve as a technical lead for the team
• Mentor team members

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology