Roles and Responsibility:

• Provides support in a high-volume environment to corporate recruiters throughout the recruiting process for an assigned business unit.
• Experience in scheduling interview, blocking calendar, managing hiring drives, preparing interview MIS
• Maintains applicant tracking system to ensure data integrity and compliance.
• Conducts applicant tracking system audit and make corrections in HRIS or applicant tracking system as appropriate.
• Coordinates candidate pre-employment checks and serves as the primary contact with third-party vendors, as appropriate, to ensure timely and proper facilitation of candidate status.
• Handles all new hire processes including offer letter generation/delivery, and follow-up; ensures all aspects of the new hire process are timely, accurate and leads to a positive experience for all involved.
• Coordinates all internal and external job postings.
• Responds to all internal or external recruiting-related inquiries with a sense of urgency and directs/escalates to the proper source for information and follows up as appropriate.
• Responsible for record-keeping of all recruiting-related documents such as applications, background check authorization forms and is well-versed in the retention policies of the company.

• Reporting , Nashik Plant Profitability analysis, Budget controls,  Driving Cost reductions & Cost Control
• Finalization of monthly results (FAR), Current Forecast (CF), Business Plan (BP)  finalization & Management Reporting;
• Project Cost calculations, Cost Enquiry,  Make or Buy analysis & decisions,  Investment & Sensitivity analysis.

• Purpose -

• The purpose of this position is to assist to finalize business plan, current forecast & monthly FAR results for the respective products and later steer with the Value Stream & support functions on periodic basis to achieve the Results.

• Business Planning - 

  Liaise & assist to finalize the Business Plan, Current Forecast, MBR, LtPC, LtPM - Product-wise to meet BU/IPN targets.

  Cost Management - 

  Organize, co-ordinate & link information across functions to work out & administer the cost performance based on business planning / current forecasts- Product-wise. * Evaluate cost saving projects & certify the savings (Annual & Actualized) with appropriate logic and steer the Value Stream / Support functions for early realization and with periodic updates in MY-Measures Tool during Current Forecast process. (Except: Nashik Plant - since separate JD exists for RPP steering).

  Data Management - 

  Coordinate with cross functional team (CFT) & maintain the SAP data base (accounting, costing & other key views) to enable cost roll out for parts free from errors by properly analyzing with equivalent parts & ensuring right costing.

  Cost Analysis - 

  Interpret key data (business drivers, KPIs, business metrics); translate them into meaningful information & story-telling with VS.

  Deviation Management - 

  Identify root causes of problems; analyze reasons for deviations- Actual Vs Plan; notify on early warning signals & discuss with the concerned for corrective actions.

  Cost Estimation - 

  Provide Cost estimation against various cost enqui raised by sales/PRM/rBU/BU against running, equivalent & new parts considering the volume & other premises, as called for & aligning with all stakeholders.

Role Summary

We are seeking an AI/ML Engineer with ~5–6 years of experience to develop and manage the generative AI models that power our OCM platform. In this role, you will develop and maintain AI pipelines for content generation and evaluation, working with state-of-the-art ML tools. You will ensure our AI models produce high-quality, multilingual content and continuously improve through feedback loops.

Responsibilities

•Design and implement end-to-end generative AI pipelines for creating personalized marketing content. This includes data preprocessing, model inference, and post-processing of outputs for quality assurance.

•Leverage pre-trained models (e.g., via Azure OpenAI or Hugging Face models) and customize them for the domain needs. 

•Create mechanisms to automatically score or classify generated content for relevance, quality, and compliance. Implement evaluation workflows to filter out inappropriate or low-quality AI-generated content before it reaches end-users.

•Incorporate feedback from users and domain experts into the model improvement process. For example, implement prompt adjustments, model retraining, or rules based on what content performs best, to continuously refine output.

•Ensure the AI pipeline can generate content in multiple languages. Adapt models or use translation services as needed so content stays accurate and contextually appropriate across languages.

•Deploy models and AI services into production (using Azure services like Azure Functions or container deployments). Monitor model performance (latency, accuracy) and optimize as required. Troubleshoot and resolve issues in model inference in production environments.

•Work closely with the cross functional teams to develop AI capabilities into the application.

•Stay updated with the latest developments in AI/ML (new models, techniques, prompt engineering strategies) and experiment with improvements that could enhance our product’s intelligence and efficiency.

•Document model architectures, experiment results, and maintain version control for models and data (ensure we know which model version is in production). Follow best practices for model lifecycle management.

Financial Planning & Analysis (FP&A):

• Lead global budgeting, forecasting, and long-term financial planning processes.

• Develop and maintain dynamic financial models to support business decision-making.

• Analyze actual monthly results and support business with in-depth analysis of P&L and Bal Sheet

• Perform variance analysis and provide insights on revenue, costs, and profitability.

• Preparation of monthly business review, and operations review presentations

Business Partnering & Strategy:

• Collaborate with regional finance teams, operations, and commercial teams to drive financial performance.

• Provide financial insights and scenario modeling to support strategic business initiatives.

• Optimize cost structures and working capital management.

Process Improvement & Systems Optimization:

• Identify opportunities to automate and improve financial processes using scripts, APIs, and database integrations.

• Ensure data integrity and standardization across global financial systems.

• Support the implementation of FP&A tools and enhancements to existing finance infrastructure.

Data & Reporting Automation:

• Utilize Google Sheets, SQL databases, and BI tools (Looker, Tableau, Power BI) to create interactive financial dashboards and reports.

• Build automated data pipelines to streamline financial reporting and analysis.

• Enhance data visualization to communicate financial trends and insights effectively.