Job Title : Expeditor (off roll) Location: Bangalore & Rudrapur Experience - Experience in manufacturing for at least 2 years. Preferably at plants of machining / fabrication / stamping Expeditors role is mostly into : PO generations , follow ups in order to get material timely , maintaining supplier relations , bit technical about product and process knowledge, good communication skills

Job Title: Senior / Lead Data Scientist India Locations: Bangalore, Chennai , Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc. , Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e. g. , TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. Desired Skills and Experience: 6-10 years of total DS and model development experience Mandatory : Minimum 3+ years of experience in the Banking and Financial services industry A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas. You are important to us, let s stay connected! Every individual comes with a different set of skills and qualities so even if you don t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities

Assistant Manager - Quality Coimbatore, North America Business Roles & Responsibilities - Conduct supplier audits (process/product audits) focusing on die casting and machining capabilities. Evaluate and qualify new suppliers using APQP/PPAP methodologies. Monitor and improve supplier performance using KPIs (PPM, delivery, NCR, etc.). Ensure suppliers comply with IATF 16949, ISO 9001, and customer-specific requirements. Drive root cause analysis and corrective actions for supplier-related quality issues (8D, 5Why, Ishikawa). Oversee incoming quality inspection protocols for die cast and machined components. Collaborate with design, production, and procurement teams to ensure quality standards in new product development. Review and approve supplier PPAPs, FMEAs, and control plans. Provide technical support in die casting defects (e.g., porosity, shrinkage) and machining issues (e.g., tolerances, surface finish). Work with suppliers to optimize process controls and reduce variability. Implement supplier improvement plans and monitor progress. Support cost reduction initiatives through quality and process improvements at supplier locations. EXPERTISE AND QUALIFICATIONS Bachelor's degree in Mechanical Engineering, Industrial Engineering, or related field. 6 to 8 years of experience in supplier quality, with significant exposure to die casting and machining processes. Strong knowledge of APQP, PPAP, SPC, MSA, FMEA, and problem-solving tools. Proficiency in using quality tools like CMM, height gauge, surface testers, etc. Experience with automotive standards (IATF 16949, VDA 6.3) is highly preferred. Excellent communication, analytical, and interpersonal skills. Willingness to travel to supplier locations as needed.

Job Title: Technical Project Manager. India Locations: Bangalore Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc. , Financial Times, Economic Times and Analytics India Magazine Qualifications: Bachelor s or master s degree in computer science, Engineering, Data Science, or a related field. Tool Expertise - Azure DEVOps / Jira At least 0-1 years of experience in Product Development Programming experience - At least 2-3 years as an API or Web Developer Technology Experience: JavaScript / Web Technologies / React Experience in Internet facing Web Products Overall 6+ years of experience in developing and managing product projects Experience working with data scientists, engineers, and business stakeholders in an Agile environment. Knowledge of data science, machine learning, or AI concepts is a significant plus. Technical Expertise: Must have: 1. Project Management Tools Methodologies: Process Oriented - Understands the Scrum Ceremonies and define processes for iterative development in 2-4 weeks cycle frame Proficiency in project management software (e. g. , ADO, JIRA). Strong knowledge of Agile, Scrum/Kanban and Waterfall methodologies ceremonies. Experience in managing cross-functional teams in a fast-paced environment. Understands Business Requirement Document and Functional Specification and able to convert into the design of the product Ability to understand a Product or a solution in depth 2. Risk Quality Management: Experience managing project risks, dependencies, and constraints in data science projects. o Stakeholder Communication: Strong written and verbal communication skills for interacting with executives, team members, and external stakeholders. Ability to explain data science concepts to non-technical audiences. Based on the audience, should have experience in creating the reporting with relevant data points and able to drive the discussion. Track action items from the meetings. o Cloud Computing General Concepts: Familiarity with cloud platforms like AWS, GCP, or Azure for data science workflows. Familiarity with data science techniques such as machine learning, statistical modelling, Gen AI, NLP and data mining. Prioritization of business use case post understanding of business use cases where DS could be leveraged. Familiarity with domain - e. g. , Retail / Pharma / BFS / Telecom Understanding of QA Concepts and how to leverage best practices throughout the course of project lifecycle Good to have: o Data Science/Analytics/Data Infrastructure Expertise: Understanding of data pipelines, ETL processes, and data wrangling techniques. Understanding or Proficiency in SQL and data manipulation using Python/Pyspark or R. Familiarity of data storage systems, big data technologies (e. g. , Hadoop, Spark), and distributed computing. o Data Visualization Reporting: Experience with data visualization tools (e. g. , Tableau, Power BI, D3. js). Experience to handle and manage discussion between technical and non-technical stakeholders Roles Responsibilities: Ensure best in class project delivery and governance processes for the project - Project Planning, Execution Coordination: o Understand the scope of the work and develop the story points by creating WBS (Work Breakdown Structure) o Coordinate with cross-functional teams (data scientists, engineers, analysts, and business stakeholders) to ensure smooth execution. o Track the team velocity and assign the work to balance the workload within team. o Monitor the output and raise the risk in case of any delay / technical gap within team members o Gather requirement and articulate in the design / wireframe o Establish and Govern Sign-off Mechanism for key milestones o Establish Change Management process and maintain the Change Request Log. o Should be able to drive the discussion on Scope Creep and set the prioritization framework. o Focus on resource utilization and maintain to govern the schedule and effort variance. Stakeholder Management: o Serve as the primary point of contact between stakeholders, clients, and the data science team. o Gather and translate business requirements into high-level data science deliverables. o Communicate progress, results, and risks to stakeholders and management regularly. o Identify potential opportunity for business growth Team Management: o Lead and mentor a multidisciplinary team of data scientists, ML engineers, and business analysts. o Foster collaboration between business, IT, and data science teams to solve complex problems. o Identify and resolve project issues, bottlenecks, and resource constraints. Risk Management: o Identify project risks and implement mitigation strategies. o Ensuring client regulatory guidelines are adhered wherever applicable Project Execution: o Oversee the entire project lifecycle, ensuring timely delivery of insights, models, and dashboards. o Implement Agile or Scrum methodologies and conduct ceremonies to ensure iterative and continuous delivery. o Ensure quality of the deliverables is maintained throughout the project lifecycle Reporting and Documentation: o Create and maintain project documentation, including status reports, timelines, and resource allocation plans. o Ensure that project milestones are documented and that deliverables are tracked and signed off by stakeholders. o Post project closure, documenting case studies for reference in future within or outside account Continuous Improvement: o Gather feedback from stakeholders and clients for project improvements. o Analyse past project outcomes to refine project management methodologies for future data science initiatives.

Zetwerk is looking for Architect & Data Governance to join our dynamic team and embark on a rewarding career journey Collaborating with clients, engineers, and other stakeholders to determine project requirements and goals Developing and presenting design concepts, plans, and models to clients for approval Conducting site surveys and analyzing data to determine the best design solutions for a particular location and purpose Preparing detailed drawings and specifications Staying current with relevant building codes, regulations, and industry trends Managing budgets, schedules, and other project-related activities Ensuring that projects are completed within budget, on time, and to the satisfaction of clients and stakeholders An Architect must possess a combination of technical, creative, and interpersonal skills

Role & responsibilities Prepare and analyze monthly P&L statements for the Ferrous division Lead budgeting, forecasting, and variance analysis Develop financial models and scenario analyses Manage reconciliations and ensure data accuracy Partner with business teams for financial planning and cost control Prepare and analyze monthly P&L statements for the Ferrous division Preferred candidate profile CA / MBA Finance / CMA with 610 years of FP&A experience Strong background in P&L analysis, budgeting, and reporting Advanced Excel and ERP skills (SAP/Oracle preferred) Experience in metals/ferrous/steel industry preferred Strong communication and stakeholder management skills

Job Summary Having experience in TWS, Neckband, Smart Watch, Earbuds. Process Quality Management & Control. Validating material and process as per BOM & SOP. Outgoing Quality Inspection. Making & analysis data of Monthly basis ESD report.

Experience: 2 to 8 years Responsibilities 1) Drive data-driven insights to optimize marketing strategies, improve customer targeting, and enhance campaign performance 2) Analyze large datasets, tracking key performance metrics, and providing actionable insights to drive Marketing decisions that supports business growth, customer engagement, and overall marketing for the Banking s Retail and Commercial products 3) Develop and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics 4) Work with the clients and stakeholders to assist in setting the marketing analytics roadmap and present the analytical insights Required Qualifications, Capabilities and Skills 1) Degree in Accounting, Commerce, Economics, Statistics / Mathematics, or Marketing 2) Post Graduate finance, economics or accounting qualifications, Marketing requirement Desired Experience 1) Experience in Banking sector (Retail or Commercial banking) and banking products 2) Background in Marketing analytics to be able to drive marketing decisions for the bank 3) Advanced proficiency in SQL and experience working with large, complex datasets 4) Strong experience with Excel reporting and data visualization tools (Tableau, Power BI) 5) Experience in leading teams and direct client stakeholder management Desirable Skills 1) Knowledge of marketing and financial metrics (CPL, CPA, CLTV, ROI, NPV, etc.) and experience optimizing marketing campaigns based on performance data 2) Hands on Development experience in python/py-spark/ SAS 3) Experience with advanced analytics techniques including regression analysis and customer segmentation, to extract actionable insights from customer and marketing data

Who do we expect Key Responsibilities: Design, develop, and deploy NLP & Generative AI solutions, leveraging Large Language Models (LLMs), fine-tuning techniques, and AI-powered automation. Lead research and implementation of advanced NLP techniques, including transformers, embeddings, retrieval-augmented generation (RAG), and multi-modal models. Architect scalable NLP pipelines for text processing, entity recognition, summarization, question answering, and conversational AI. Develop and optimize LLM-powered chatbots, virtual assistants, and AI agents, ensuring efficiency, accuracy, and contextual awareness. Implement Agentic AI systems, enabling autonomous workflows powered by LLMs and task orchestration frameworks. Ensure LLM observability and guardrails, enhancing model monitoring, safety, fairness, and compliance in production environments. Optimize inference pipelines, leveraging quantization, model distillation, and retrieval-enhanced generation to improve performance and cost efficiency. Lead MLOps initiatives, including CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate NLP & GenAI solutions into enterprise applications, ensuring robust API development and scalable microservices architecture. Mentor junior engineers, drive best practices in NLP/AI model development, and contribute to AI governance in regulated industries like pharma/life sciences. Key Qualifications: 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. Deep expertise in LLMs, transformer architectures (BERT, GPT, T5, LLaMA, Mistral, etc. ), and fine-tuning techniques. Strong knowledge of NLP pipelines, including text preprocessing, tokenization, embeddings, and named entity recognition (NER). Experience with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Chroma), and prompt engineering. Hands-on experience with Agentic AI systems, LLM observability tools, and AI safety guardrails. Proficiency in Python and backend development (Django/Flask preferred), with strong API and microservices expertise. Familiarity with MLOps, cloud platforms (AWS, GCP, Azure), and scalable model deployment strategies. Prior experience in life sciences, pharma, or other regulated industries is a plus. A problem-solving mindset with the ability to work independently, drive innovation, and mentor junior engineers.

As a Software Development Engineer in Test (SDET), you will play a crucial role in ensuring the quality and functional reliability of our software products. You will collaborate closely with development teams to design and implement robust test automation frameworks, perform functional testing, develop automated test suites in sprint, and drive continuous improvement in our testing processes. Your technical expertise, problem-solving skills, and commitment to quality will be essential in delivering high-quality software solutions. Desired Skills Experience 8+ years of experience in software development or quality engineering. Developing Test Strategies, Preparing Effort Estimation, and Designing Test plans and Test cases effectively/independently. Should be capable to handle end to end functional testing, API/microservices testing, Data Testing, Mobile app(iOS Android) testing and relevant automation testing. Proficiency in programming languages such as Java/Python/C#, with experience in object-oriented programming and test automation framework. Hands on experience in, Behavior Driven Development (BDD) or in Test Driven Development (TDD). Strong understanding of Framework Design concepts suits for web, API/microservices and Mobile applications and preferably in Retail, Digital, POS Systems and Implementation approaches. Hands-on experience with automated testing tools and frameworks (e.g., Selenium WebDriver/ Cypress/others, PyTest, TestNG, Appium, REST Assured) in Azure Environments. Strong understanding of software testing methodologies, tools, and best practices. Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and identify root causes. Experience with version control systems (e.g., Git), build automation tools (e.g., Jenkins, Maven), and issue tracking systems (e.g., JIRA). Experience working with Jenkins and Selenium Grid for continuous testing using automated jobs and integrating the test automation with Qtest to post the results and status tracking. Familiarity with cloud platforms (Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Solid understanding of software development methodologies, including Agile and Scrum. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Understanding different test metrics for the project. Be able to document and share test metric reports with the team and project management. Attention to detail and ability to effectively escalate issues and manage escalations. Ability to handle insprint functional test automation. Coordinate and participate in discussions about holistic testing approaches with the development teams, so we have a balance of manual testing, UI automation testing, and unit testing coverage. Strong comprehension, training, and experience in demonstrating complex test environments, cloud technologies, test data management strategies and test infrastructure design. Good understanding of risk-based test strategy preparation based on all stories and non-functional requirements of critical systems. Outstanding analytical and problem-solving skills; highly synergetic working style, strong interpersonal capabilities and relationship building; confirmed ability to lead diverse client and partner relationships, and to collaborate efficiently with customers and colleagues. Ability to scale up in non functional test automation as a cross skilled SDET. Bachelor s degree in computer science, Engineering, or related field

Here's the job description for a Data Governance Architect, formatted with bold subheadings and bullet points: Role Overview: Data Governance Architect As a Data Governance Architect, your work is a combination of hands-on contribution, customer engagement, and technical team management. Overall, you'll design, architect, deploy, and maintain big data-based data governance solutions. Key Responsibilities Project Lifecycle Management: Provide technical leadership across the full life cycle of big data-based data governance projects, from requirement gathering and analysis to platform selection, architecture design, and deployment. Cloud Scalability: Scale the data governance solution within a cloud-based infrastructure. Cross-functional Collaboration: Collaborate effectively with business consultants, data scientists, engineers, and developers to deliver robust data solutions. Technology Exploration: Explore and evaluate new technologies for creative business problem-solving in the data governance space. Team Leadership: Lead and mentor a team of data governance engineers. What We Expect (Requirements) Experience:10+ years of technical experience in the Data space. 5+ years of experience in the Hadoop ecosystem. 3+ years of experience specifically in Data Governance Solutions. Hands-on Data Governance Solutions Experience with a good understanding of:Data Catalog Business Glossary Business metadata, technical metadata, operational Metadata Data Quality Data Profiling Data Lineage Hands-on experience with the following technologies:Hadoop ecosystem: HDFS, Hive, Sqoop, Kafka, ELK Stack, etc. Programming Languages: Spark, Scala, Python, and core/advanced Java. Cloud Components: Relevant AWS/GCP components required to build big data solutions. Good to Know: Databricks, Snowflake. Familiarity working with:Designing/building large cloud-computing infrastructure solutions (in AWS/GCP). Data lake design and implementation. Full life cycle of a Hadoop solution. Distributed computing and parallel processing environments. HDFS administration, configuration management, monitoring, debugging, and performance tuning

As a Senior MLOps Engineer, this role requires hands-on experience in building and managing ML Systems in Production with excellent MLOps skill sets. The position will be responsible for building machine learning pipelines and ML Application services, as well as providing machine learning engineering support for Production teams. This role operates at the crossroads of Machine Learning, Software/Data Engineering, and DevOps, leveraging best practices from each domain to optimize the deployment and management of machine learning models in production environments. The position would also be expected to be able to enhance the Technology stack, focusing on continuous improvements in the reliability, automation, and efficiency of the Platform Solutions. Roles and Responsibilities ML Platform Management: Manage ML Platform infrastructure to automate and accelerate model development and deployment. Pipeline Development: Define and build scalable ML pipelines that enable data scientists to build better models. Monitoring & Optimization: Build dashboards and other monitoring tools to optimize performance and infrastructure costs. Production Support: Monitor and provide support to infrastructure and in production systems. Performance Optimization: Identify possible issues and performance leakages in the system and perform optimization. Team Mentorship: Mentor team members through code review and knowledge sharing. Team Leadership: Lead, mentor, and manage a team of MLOps engineers, fostering a collaborative and high-performance environment. Project Oversight: Oversee the team's project management, ensuring timely and successful delivery of data solutions. Model Design & Development: Design, develop, and maintain data science models and algorithms along with the Data Science team to drive business insights and decision-making onto the ML Platforms. CI/CD Implementation: Implement and manage CI/CD pipelines of Core Solution Packages and Applications. Containerization: Containerize applications and workflows using Docker and App Service for consistent environments and deployment. Cross-functional Alignment: Work closely with various teams, including data science, engineering, and business units, to align ML Platform Solution with client goals. Communication & Collaboration: Facilitate communication and collaboration between team members and other departments to ensure cohesive project execution. Technical Support: Provide technical support and insights to cross-functional teams as needed. Security Compliance: Ensure ML systems comply with security standards and best practices in a cloud environment. Technical Debt Management: Identify and address technical debt in current ML projects, incorporating best MLOps practices. Preferred Experience Overall Experience: 8+ years of hands-on experience at scale in data science / ML engineering. Programming Skills: Excellent hands-on skills to write clean and structured SQL, Python, and Shell programs. Infrastructure Knowledge: Good experience with infrastructure, including Cloud Computing, Linux OS, Networks, Kubernetes, Docker, Infrastructure as Code, RDBMS, and NoSQL Databases. MLOps Understanding: Good understanding of Machine Learning concepts and MLOps Best Practices. Production ML Models: Quality experience in serving real-time, production-level machine learning models. Leadership: Proven experience leading and managing a team. Communication: Excellent communication skills. Azure Cloud Technologies: 5+ years hands-on experience with Azure Cloud Technologies such as Azure Databricks, Azure DevOps, Azure App Service, Docker, Azure Key Vault, and other managed Azure services. AWS Technologies: Proficiency in AWS technologies, including Athena, Glue, ECS, EKS, and VPC, as well as AWS SageMaker for deploying machine learning models, improving automation, and implementing essential checks. Python Proficiency: Proficiency in Python for developing automation Scripts and Pipelines. Infrastructure as Code (IaC): Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation for managing cloud infrastructure. ML Lifecycle & Frameworks: Basic Familiarity with the Data Science and Machine Learning lifecycle, as well as frameworks like scikit-learn, PyTorch, and TensorFlow

Monitor and ensure final inspection process (OQC) adherence for all outgoing shipments. Ensure compliance with customer specifications and product quality standards. Maintain PDI records and support customer audits as required. Maintain inspection records, quality reports, and ensure traceability. Drive improvement in OQC yield and reduce outgoing defects.

Job Summary: The Process Engineer will be responsible for developing, optimizing, and maintaining manufacturing processes in the EMS environment, particularly for final assembly and test operations. This includes driving yield improvements, cost reduction, process standardization, and ensuring high-quality output across box-build and PCBA integration lines. Key Responsibilities: Process Development & Optimization Develop and implement assembly and test processes for new and existing products. Standardize and document process flows, work instructions, and PFMEAs. Optimize cycle times, line balancing, and workstation ergonomics. Continuous Improvement Drive continuous improvement initiatives using Lean, Six Sigma, and Kaizen methodologies. Identify root causes of process-related issues and implement corrective actions. Monitor and reduce process-related defects (e.g., soldering defects, connector misalignment, missing components). NPI (New Product Introduction) Support seamless transition of new products into production. Work with design and manufacturing teams for DFM/DFA recommendations. Define process validation, first-pass yield targets, and initial line setup. Equipment & Automation Specify, validate, and maintain tools, fixtures, and semi/fully automated equipment. Collaborate with automation and test engineering teams for integration. Documentation & Compliance Maintain accurate process documentation, WI/SOPs, and ECN change adherence. Ensure adherence to ISO, ESD, and safety standards in process design. Cross-Functional Collaboration Work closely with Quality, Maintenance, Production, IE, and Supply Chain teams. Provide technical support to resolve production issues and reduce downtime.

Assistant Manager - Quality Coimbatore, North America Business Roles & Responsibilities - Conduct supplier audits (process/product audits) focusing on die casting and machining capabilities. Evaluate and qualify new suppliers using APQP/PPAP methodologies. Monitor and improve supplier performance using KPIs (PPM, delivery, NCR, etc.). Ensure suppliers comply with IATF 16949, ISO 9001, and customer-specific requirements. Drive root cause analysis and corrective actions for supplier-related quality issues (8D, 5Why, Ishikawa). Oversee incoming quality inspection protocols for die cast and machined components. Collaborate with design, production, and procurement teams to ensure quality standards in new product development. Review and approve supplier PPAPs, FMEAs, and control plans. Provide technical support in die casting defects (e.g., porosity, shrinkage) and machining issues (e.g., tolerances, surface finish). Work with suppliers to optimize process controls and reduce variability. Implement supplier improvement plans and monitor progress. Support cost reduction initiatives through quality and process improvements at supplier locations. EXPERTISE AND QUALIFICATIONS Bachelor's degree in Mechanical Engineering, Industrial Engineering, or related field. 6 to 8 years of experience in supplier quality, with significant exposure to die casting and machining processes. Strong knowledge of APQP, PPAP, SPC, MSA, FMEA, and problem-solving tools. Proficiency in using quality tools like CMM, height gauge, surface testers, etc. Experience with automotive standards (IATF 16949, VDA 6.3) is highly preferred. Excellent communication, analytical, and interpersonal skills. Willingness to travel to supplier locations as needed.

The role will include working with the team of designers & content writers as well as contributing towards designing high-quality presentations (PPT), illustrations, newsletters as well as videos and sales collaterals like brochures, posters, flyers, stall design, standees. Candidates applying for the role are expected to innovate and come up with new ideas for the visual representation of content while working with different teams in the most efficient and effective way. Role: Should be able to creatively conceptualize and transform ideas into effective visual communication for both print and digital media Transform content into presentation decks for our sale team, social media channels, websites, posters, eMailers, catalogs, and everything in between Utilize Adobe Creative Suite and Microsoft Office Suite to develop all artwork including event assets (stall designs) as well as digital infographics, LinkedIn carousels, industry reports and white papers Manage end-to-end design workflow with absolute ownership: Ensure all the design meets the Zetwerks brand standards and quality. Coordinate with internal BU teams and collaborate with content and marketing teams to confirm design compliance with brand guidelines and implement design feedback Preferred candidate profile Minimum 3 years of experience in designing MS powerpoint presentation and digital assets including eMailers + newsletters, brochures, banners, graphics design. Exceptional aesthetic sense and intuitive understanding of design principle including knowledge of color theory, typography and user interface & experience Should have proficiency in Adobe XD, PowerPoint, WordPress and content website creation, along with experience in designing creatives, brochures, slideshows and booth designs. Ability to apply high ATTENTION TO DETAIL (mandatory) Ability to work under tight deadlines with complete ownership Ability to work under minimal supervision Desired Skills: Pursue and share design best practices and ideas Provide support in recruitment and on-boarding of new team members Assist with marketing support Take complete ownership of work done Education background: Graduation Position based out of Bangalore office

Industrial Trainee Bangalore and Chennai, Smile Electronics JOB DESCRIPTION About Zetwerk Electronics Private Limited Zetwerk Electronics is a leading player in Indias ESDM sector, operating seven advanced factories and producing two devices per second. As a major contract manufacturer for both global and Indian value chains, we serve high-growth sectors with fast turnarounds, competitive pricing, and top-tier quality. This success stems from our strategic diversification across several high-growth segments: o Telecom: Provides end-to-end manufacturing for 5G infrastructure, GPON systems, and ONTs, combining technology and efficiency for global telecom needs. o Consumer Durables: Partners with global brands to manufacture ESDM sub-systems for appliances, offering scalable and cost-effective solutions from development to testing. o Hearables & Wearables: Full-lifecycle EMS/ODM services for IoT devices, supporting rapid innovation and market entry. o Televisions & Displays: Operates a high-capacity facility in Dharuhera (2M units/year), offering complete solutions for TV and display manufacturing. o IT Hardware: Manufactures components like motherboards, SSDs, and USB drives in Bengaluru and Chennai, serving industrial and consumer markets. o Precision Assembly (CORY Connectors): Offers high-precision, high-volume connector assembly for 5G, EVs, and industrial usesfully Made in India. Why Zetwerk Electronics At Zetwerk Electronics, our job is to help you excel in your career and make an Impact. We prioritize comprehensive worker training to enhance skills and foster continuous improvement. The company promotes cross-training and offers well-structured, ongoing training to support skill development and continuous improvement within its workforce. We combine domain expertise, advanced facilities, and stringent quality to lead Indias electronics manufacturing landscape. About the Role: We are seeking a motivated and detail-oriented Finance Industrial Trainee to join our Electronics Division. This opportunity is ideal for candidates pursuing their Chartered Accountancy, Cost and Management Accountancy, or equivalent professional qualifications, looking to gain hands-on experience in a dynamic business environment. The trainee will support core finance functions, assist in financial analysis, reporting, compliance activities, and contribute to process improvements within the division. Roles and Responsibilities: Assist in preparation and analysis of monthly, quarterly, and annual financial statements. Support budgeting, forecasting, and variance analysis activities. Assist in the preparation of management reports and presentations. ¢ Help ensure adherence to internal controls and compliance requirements. ¢ Assist in accounts payable and receivable processes, reconciliations, and transaction processing. ¢ Participate in inventory accounting, cost analysis, and standard costing review. ¢ Support statutory and internal audits by preparing schedules and documentation. ¢ Collaborate with cross-functional teams for data collation and process enhancements. ¢ Contribute to special finance projects as assigned. EXPERTISE AND QUALIFICATIONS Key Requirements: ¢ Pursuing CA (ICAI) / CMA (ICMAI) with eligibility to undergo industrial training as per institute guidelines. ¢ Strong academic record and conceptual understanding of accounting and finance principles. ¢ Proficiency in MS Excel; working knowledge of ERP systems (SAP/Oracle) is an advantage. ¢ Good analytical, problem-solving, and communication skills. ¢ Self-motivated, with an ability to work both independently and in a team environment. ¢ High level of integrity and commitment to professional ethics.

Roles and Responsibilities Perform bank, vendor, and ledger reconciliations to ensure accuracy in financial records. Manage month-end and year-end closing activities, including journal entries, accruals, and adjustments. Prepare and review financial statements, reports, and MIS to support decision-making. Assist in accounts payable and receivable processes, ensuring timely payments and collections. Support budgeting, forecasting, and financial planning activities. Provide financial analysis and insights to optimize business performance and cost structures. Monitor key financial and operational metrics, identifying trends and variances. Ensure compliance with accounting standards, tax regulations, and company policies. Coordinate with auditors during internal and external audits. Identify and resolve discrepancies in financial data and improve process efficiency. Conduct scenario analysis, risk assessment, and variance analysis to support strategic initiatives. Desired Candidate Profile 3-5 years of experience in finance, accounting, or business finance roles. Strong understanding of reconciliation, general ledger, financial reporting, and business finance principles. Proficiency in Excel and accounting software (SAP, Tally, or similar tools). Knowledge of GST, TDS, and financial regulations is a plus. Strong analytical, problem-solving, and communication skills. Experience in financial planning, budgeting, and business performance analysis preferred. Ability to work independently, collaborate with cross-functional teams, and meet deadlines.

1-2 years in steel fabrication & galvanization Basic knowledge in steel manufacturing Ability to interpret Fabrication drawings and make inspection reports Knowledge in Galvanizing process and inspection Good communication and supplier handling skills

Project Coordinator Bangalore, Railways JOB DESCRIPTION About Zetwerk Zetwerk is the largest global manufacturing network for custom manufacturing that helps transform digital designs into physical manifestations. Zetwerk offers manufacturing solutions across a diverse range of products, from simple items like steel pipes to complex products like aircraft engine components, from industrial use-cases like metal bridges, oil rigs, aircraft/auto components to consumer use-cases like apparel, home appliances, audio-visual electronics, for small businesses and Fortune 500 companies alike. Zetwerk offers customers access to a wide range of manufacturing capabilities, including metal fabrication, CNC machining, plastic injection moulding, 3D printing and aluminium die castings, across 1000s of manufacturing partners. These capabilities serve a diverse set of industries ranging from traditional ones such as Oil & Gas, Energy, Infrastructure, Aerospace, and Apparel to modern ones such as Renewables, Electric Vehicles, Consumer Electronics, and Space. For customers, Zetwerks global manufacturing network ensures products are manufactured faster, at competitive prices and with world-class quality. It offers quality monitoring through indigenously developed technology which provides end-to-end transparency from purchase orders to delivery, thus eliminating uncertainties around quality, visibility, reliability, and under- utilized capacities. For manufacturing partners, the Zetwerk platform drives higher capacity utilization of manufacturing capacities and offers various portfolio services (including logistics, raw material procurement, and working capital access) to drive revenue growth as well as optimize for the cost of manufacturing. Technology + Manufacturing Over the last 7 years, Zetwerk has built a strong technology-driven supply chain to deliver high-quality manufacturing of various industrial and consumer products at highly competitive costs and lead times. Zetwerks in-house Manufacturing Operating System software, ZISO, enables digital selection of supply, pricing recommendations, digital repository of engineering designs, real-time tracking of manufacturing across various stages, visual updates of products getting made, seamless communication across stakeholders and quality assurance of the final product getting shipped. Our software-led approach unifies various stakeholders in the manufacturing universe to collaborate to deliver the products we see around us and we love. These include product designers, manufacturing partners, logistics providers, third-party quality inspectors, financing partners, raw material suppliers and many more. Zetwerk unifies the highly fragmented manufacturing ecosystem to work as one single entity to deliver the highest quality manufacturing with the fastest possible lead times and the lowest possible costs, day in day out. Why Zetwerk A company that's changing the way manufacturing is done needs game changers to shape the future. At Zetwerk, our job is to help you excel in your career and make an Impact. We offer you an environment to create a unique career journey, opportunities to grow your ambition and an inclusive culture to help you thrive. We encourage innovation through collaboration and connect you to leaders who help you go beyond. We deliver the best for our people so that they can deliver the best for our customers. It's that simple. It's Zetwerk. About the role We are seeking a motivated and detail-oriented individual who will be responsible for project planning, monitoring, and cost control across multiple RVNL infrastructure projects. This role ensures projects stay on schedule, within budget, and compliant with client requirements. Roles and Responsibilities: • Develop and update project schedules and work plans. • Track milestones and resource allocation. • Monitor daily and weekly progress at all sites. • Prepare progress reports and dashboards for management and RVNL. • Track budgets, verify contractor bills, and control expenditures. • Prepare cost forecasts and support billing processes. • Liaise with site teams, contractors, and RVNL representatives. • Organize project meetings and maintain records. • Maintain project records, approvals, and correspondence. • Support compliance and audit requirements. EXPERTISE AND QUALIFICATIONS • Bachelors in Civil Engineering, Project Management, or related field. (PMP/Primavera certification preferred.) • 37 years in project coordination/planning, ideally in railway or infrastructure projects. • Proficiency in MS Project / Primavera P6, MS Excel. • Strong communication and problem-solving abilities. • Familiarity with cost control and billing.