11+ Invoices Jobs in Pune | Invoices Job openings in Pune

Key Responsibilities:

Purchase Order Processing:

Prepare and review purchase orders from various departments or individuals within the organization.

Verify the accuracy and completeness of purchase orders, ensuring they are properly authorized and comply with company policies.

Enter purchase order details into the accounting system (Tally Prime)

Invoice Verification and Processing:

Gather invoices and match them with corresponding purchase orders and delivery receipts.

Verify the accuracy of invoices, including quantities, prices, and applicable taxes.

Resolve discrepancies or issues with invoices by communicating with vendors, procurement, and other internal stakeholders.

Coordinate with vendors to resolve any payment-related inquiries or issues.

Engage in Warehousing activities related to invoices and inventory.

Vendor Relationship Management:

Develop and maintain positive relationships with vendors, responding to inquiries and resolving any issues promptly.

Ensure vendor accounts are accurately maintained in the accounting system, including contact information and payment terms.

Communicate payment schedules to vendors and provide remittance advice as required.

Reporting and Reconciliation:

Prepare periodic reports related to accounts payable, such as the outstanding creditor's reports, vendor ageing payables, and vendor statements.

Reconcile vendor statements with accounts payable records, investigating and resolving any discrepancies.

Experience: 3–7 Years

Locations: Pune / Bangalore / Mumbai

Notice Period :Immediate joiner only

Employment Type: Full-time

🛠️ Key Skills (Mandatory):

• Python: Strong coding skills for data manipulation and automation.
• PySpark: Experience with distributed data processing using Spark.
• SQL: Proficient in writing complex queries for data extraction and transformation.
• Azure Databricks: Hands-on experience with notebooks, Delta Lake, and MLflow

Interested candidates please share resume with details below.

Total Experience -

Relevant Experience in Python,Pyspark,AQL,Azure Data bricks-

Current CTC -

Expected CTC -

Notice period -

Current Location -

Desired Location -

JOB DESCRIPTION:-

Responsibilities:

• Strong experience in Compensation Management -

• Strong experience in Variable Pay

• Strong Experience in Employee Central

• Experience in configuring Compensation, Variable Pay templates

• Experience in Route Map and Rating Scales

• Experience in Merit Guidelines, Lookup table, Eligibility rules, Budgeting and Performance Forms integration

• Experience in configuring merit and Variable Pay statement templates

• Strong experience in MDF Objects, Position Management, Business rules, workflows and RBP.

• Act as a Subject Matter Expert for various assigned modules within the SuccessFactors system.

• Assist with system changes from the solution phase through development, testing, implementation, and post go-live support.

• Perform and/or assist with manual data uploads where necessary.

• Lead the design, testing and support of Compensation, Variable Pay, PMGM and Employee Central modules

• Troubleshoot and resolve end user support tickets

• Partner on yearly cycles within HRIS for Performance Reviews and Compensation Planning.

• Act as a leader within the HRIS team, providing training and support to other team members as needed.

• Contribute to the development and maintenance of internal documentation.

• Experience in Role Based Permissions

• Working experience in Reporting, user stories, Dashboards

• Should have experience in client handling and educating the business teams on the compensation process and new changes

Experience

• 5+ years of Support experience in SAP SuccessFactors, particularly Compensation Management, Performance & Goal Management and Employee Central.

• Experience working in a Global HR environment.

• Strong communication, problem-solving, and project handling skills.

• Certification in Compensation/Variable Pay/PMGM/ Employee Central is an added advantage.

• Strong experience in Client handling.

Required Skills:

• Thorough knowledge on Sheet metal component design, material and thickness selection
• Competent on Electrical harness modeling in CATIA V5 – Electrical harness Routing (EHI) and Electrical Fitting installation.
• Independently handle Electrical harness modeling related to subsystem and car level..
• Able to interpret electrical schema and good understanding and able to apply while routing the harness
• Wire Bundle calculation
• Selection of protection, connectors, conduit, etc…
• Good Knowledge of materials  & mechanical characteristics
• Ability to perform a weight assessment on assemblies, aggregates and installations
• Ability to analyze manufacturing non-conformity and to validate a back-up solution.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Job Profile:

We are looking for a Senior UX designer to join the Product Experience team assisting in research, design, and development of an innovative user-need based, engaging, and intuitive online SaaS platform. Work with real customers of the SaaS platform to better the design and advocate for users’ needs.

Key Attributes you'd need to possess:

• Problem Solver - Quick on your feet, some problems require creative solutions. Communicating those with peers and clients effectively, for presentations and walk through as well as support on client calls if needed.

• Team Player- Builds strong partnerships with product & engineering teams, and understands how to handle creative differences between teams and stakeholders to manage consistency at a brand level.

• User-Driven - Advocate for the user and get them the best experience driven by design. We believe in data, the numbers don’t lie! Using data to back design decisions get you extra points! 

• Business Acumen- Should be willing to learn and understand complex business challenges, and formulate solutions to solve the problems effectively. Someone who makes intelligent decisions - work effectively, plan better, and formulate solutions that can deliver returns.

Typical work week look like:

• Research- Conducting user research, client interviews, and usability testing to understand user needs; studying data patterns that highlight these using prospecting tools for performing Client-need Analysis, track their pain-points to develop a reach-out strategy.

• Ideation and Brainstorming- Brainstorming and designing new features for our SaaS platform based on research, tech requirements, and feature requests. Lots of white-boarding, paper scribbles, and ideas!

• Dev Support- Communicating with web developers, including providing input on any needed digital enhancements

• Manage the Brand Guidelines and Visuals- Designing and managing the information architecture for the marketing website and product, drafting information flows and designing wireframes, mockups and prototypes. Branding and Illustrations for OnlineSales.ai and its marketing website or any events the company will be showcased in.

Our ideal candidate should have:

• 4+ years of work experience in designing digital products or experiences

• Relevant Degree/Diploma or experience/certification in Product or Experience design

• Great understanding of user-centric design, responsive design and designing for web

• Good communication skills

• Software skills - Adobe CC or similar. Any tool you are comfortable with to design and prototype.

• Any experience in digital marketing is a plus.

• Good to have knowledge of CSS, HTML - we work hand in hand with developers

T

• Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
• Worked with SAP MM, SD, FICO and HCM.Having experience in S4 HANA implementation.
• Absolute understanding of mapping technical designs to Functional Documents (FS) & creating/reviewing corresponding Technical Specs (TS).
• Detailed & exhaustive understanding of coding practices & naming conventions in ABAP.
• Deliver of New Business Request/ Change Request with good quality, the defined timeline and the defined budget Data Dictionary Concepts (Mandatory)Report development classical / Interactive / ALV ,SAP Script / Smart forms /Adobe Forms Module Pool ,SAP BAPI/RFC Performance optimizations
• Proficient in finding correct User Exit / SAP Enhancements Points and SAP BADI.IDOC Configuration, extensions, custom IDOC (Mandatory as working knowledge , if not complete hands-on)

• Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies.
• Integration of user-facing elements developed by front-end developers with server side logic.
• Writing reusable, testable, and efficient code with proper documentation. Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions.
• Continually keep yourself and your design team updated with the latest changes in your industry’s standards