Business Central

Division/ Department / Location: Finance/Accounts

Location : Airoli

JOB REQUIREMENT

Qualification: Commerce graduation plus CA or ICWA

No of years of experience: Around 10 to 15 years

Preferred Age Group: Around 40 years

Conversant with SAP,

Expert Domain knowledge of :

·        Accounts Finalization

·        Accounts Payable

·        Statutory compliances with regard to Ind AS, SEBI, Companies Act, Schedule III requirements

Statutory Audit

Well-versed with MS Excel, Word, PPT.

Nature of Experience:

(1) General Accounting :

·        Well-versed with Ind AS, SEBI compliances, Provisions of Companies Act'2013

·        Finalization of Books of Account, preparation of Financials ensuring conformity with Statutory Compliances within the timelines

·        Monthly review and scrutiny of Profit & Loss Account, Balance Sheet

·        Review and Scrutiny of General Ledger, Customer Ledger, Vendor ledger

·        Ensuring timely accounting of Vendor invoices by guiding sub-ordinates

·        Forward Contracts accounting

·        Preparing, reviewing P & L Account and Balance Sheet Variances

·        Compliance of Trade Payable, MSME disclosure as per Schedule III of the Companies Act 2013.

(2) Accounts Payable:

·        Manage the complete procure-to-pay and accounts payable cycle

·        Oversee invoice processing, verification, coding, approvals, and payment processing

·        Ensure accurate and timely recording of vendor invoices and expenses

·        Monitor vendor balances, ageing, debit/credit notes, and outstanding liabilities

·        Ensure timely vendor payments while optimizing cash flow

(3) Statutory and Internal Audits:

·        Experience in Audit - co-ordination and dealing with Statutory and Internal Auditors

·        Attending to Auditors queries, coordinating with respective teams for providing required information /supporting

·        Ensuring IFCR Control compliances

(4) Treasury:

·        Treasury accounting - Reviewing transactions in SAP and coordinating with respective teams for accounting investments, Maturity/redemptions

·        Deposits, MF related workings and reconciliation with the books

·        Treasury Corpus and its related income information for Cash Flow

·        Preparing Quarterly Board Meeting related MIS details

(5) SAP FI/CO knowledge MUST

About the role

We are building AI systems that read, understand and act on real business documents, bank statements, financial reports, policy documents and forms and putting them into production where accuracy and cost both matters.

This is not a research role and it is not a prompt-writing role. You will own features end to end: pick and deploy open-source models, build the pipelines around them, measure whether they actually work on our documents, drive the cost per document down, and keep the whole thing running in production.

You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.

What you will do

Deploy and evaluate open-source models

• Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
• Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
• Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
• Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.

Build and optimize AI orchestration

• Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
• Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
• Instrument pipelines so failures are visible and traceable rather than silent.

Ship to production

• Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
• Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
• Own on-call-style responsibility for the AI features you build, including cost tracking.

Must-have skills

Programming & engineering

• Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
• REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
• Git, code review discipline, and the ability to write code someone else can maintain.
• Comfortable in Linux and on the command line.

Machine learning fundamentals

• Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
• Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
• Ability to read a model card and a paper well enough to judge whether a model fits a use case.

Document processing

• Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
• Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
• Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.

Strongly preferred

You will be a much stronger candidate with any of these. We do not expect all of them.

Model serving & optimization

• vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
• Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
• Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
• LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.

Vision-language models

• Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
• Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).

Orchestration & pipelines

• Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
• Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
• LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
• Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.

Evaluation & observability

• Building golden datasets and regression suites for extraction tasks.
• Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
• LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.

Nice extras

• Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
• Experience in fintech, lending, insurance or accounting documents.
• Handling of PII and data-security practices in document pipelines.
• Contributions to open-source ML or document-processing projects.

Why join us

• Real production ownership from month one your work goes to actual users, not a demo.
• Genuinely hard technical problems in document AI, not wrappers over an API.
• Small team, short decision cycles, direct access to leadership.
• Budget and freedom to evaluate and adopt new open-source models as they land.

To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.

What We’re Looking For:

• Strong experience in Python (3+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing.
• Familiarity with Git and Agile methodologies.

Key Responsibilities:

Manage and advise HNI/Affluent clients on investment opportunities.

Drive AUM growth and achieve acquisition targets.

Recommend investment products, including Mutual Funds, PMS, AIF, Bonds, Direct Equity, Structured Products, and Unlisted Shares.

Conduct periodic portfolio reviews and provide customized wealth solutions.

Build and maintain long-term client relationships.

Collaborate with branch teams to drive business growth.

Eligibility:

Post-graduate preferred.

2+ years of experience in Wealth Management, Investment Advisory, Private Banking, or HNI Relationship Management.

Strong knowledge of Mutual Funds, PMS, AIF, Equity Markets, and Wealth Products.

Excellent client acquisition and relationship management skills.

Role Objective: 

Ensure that our software products are of the highest quality by utilizing manual and automated testing techniques, excellent communication, and logical reasoning skills. 

Roles & Responsibilities: 

Test Strategy and Planning: 

• Design, develop, and implement comprehensive test strategies and plans. 
• Collaborate with product managers and developers to understand product requirements and define appropriate test scenarios. 

Test Development and Execution: 

• Develop detailed, comprehensive, and well-structured test cases. 
• Execute manual test cases and analyze results. 
• Set up, maintain, and operate test automation frameworks. 
• Detect and report software defects using a bug tracking system, and work with the development team to troubleshoot, debug, and resolve them. 

Continuous Improvement: 

• Review and analyze the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these systems. 
• Research new testing tools, methodologies, and best practices and share findings with the team. 

Collaboration & Communication: 

• Clearly and concisely report defects and other testing outcomes to developers and other stakeholders. 
• Collaborate with cross-functional teams to ensure seamless integration and quality throughout the software development lifecycle. 
• Facilitate and participate in QA reviews and updates to ensure consistency and compliance with standards. 

Documentation & Reporting: 

• Maintain detailed documentation of test cases, test scripts, and test outcomes. 
• Produce regular reports on test status, anomalies, risks, and validation results. 

Mentoring & Coaching: 

• Assist junior QA team members and offer guidance as needed. 
• Share knowledge on advanced testing techniques, tools, and best practices. 

Staying Updated: 

• Stay updated with the latest industry trends, tools, and technologies in QA testing. 
• Attend training and workshops to continually improve your QA skills. 

Required Skills & Qualifications: 

• 1-3 years of experience in a similar role in a software services environment. 
• Proficient in manual testing techniques, including black box, white box, and grey box testing. 
• Experience in setting up and using automation testing tools such as Selenium, JUnit, TestNG, etc. 
• Excellent communication skills, both verbal and written. 
• Strong logical reasoning and problem-solving skills. 
• Familiarity with bug tracking tools like Azure DevOps, JIRA, etc. 
• Knowledge of software development lifecycle (SDLC) and agile methodologies. 
• Bachelor's degree in Computer Science, Information Technology, or a related field. 

Preferred Qualifications: 

• Certifications in Quality Assurance, such as ISTQB or CSTE. 
• Experience with continuous integration and continuous delivery (CI/CD) tools like Jenkins or Travis CI. 
• Familiarity with code versioning tools like Git. 

·         Architect, develop and deploy software using Django/ Python

·         Strong hands on experience in Django and Python Experience with RDBMS, PostgreSQL, MySQL.

·         Experience with HTML5, HTML, CSS, JavaScript, jQuery.

·         Experience with Linux platform.

·         Experience building responsive web applications with Bootstrap

·         Understanding of Amazon AWS/ EC2 deployment architecture experience is a plus

·         Experience with source control management tools (Git preferred) Preferred skills 

·         Any work experience related to data scraping algorithms would be an add on weightage

• 4+ years of extensive EXP in TIBCO SPOTFIRE Dashboard Development is MUST
• Design and create data visualizations in TIBCO Spotfire
• Proven EXP in delivering Spotfire solutions to advance business goals and needs.
• Detailed knowledge of TIBCO Spotfire - report developer configuration
• EXP on creating all charts that exist in Spotfire (scatter, line, bar, combo, pie, etc.) and how to manipulate every property associated with a visualization (trellis, color, shape, size, etc.)
• EXP in writing efficient SQL queries, views in relational databases such as Oracle, SQL Server, Postgres and BigQuery (Optional).
• Ability to incorporate multiple data sources into one Spotfire DXP and have that information linked via data table relations.
• EXP with Spotfire Administrative tasks, load balancing, installation/configuration of servers and clients, upgrades and patches would be a plus.
• Strong background in analytical visualizations and building executive dashboards.
• In-depth knowledge & understanding of BI and Datawarehouse concepts