Total 10 Art / Design / Entertainment job vacancies in Pune

● Design creative graphics for social media, websites, marketing materials, and branding.

● Create banners, brochures, presentations, and promotional content.

● Work closely with the marketing and development teams to deliver design requirements.

● Maintain brand consistency across all company designs.

● Edit images, illustrations, and layouts for various platforms.

● Stay updated with design trends, tools, and technologies.

● Manage multiple design projects and meet deadlines.

Quadric delivers its GPNPU as soft IP — RTL and implementation collateral — enabling customers to integrate our processor into their own SoCs across a range of process nodes and foundries. You will drive PPA optimization across IP configurations, build the scalable reference flows customers use to evaluate and integrate our IP, and provide hands-on implementation support to customers working toward their tapeouts.

Responsibilities

PPA Optimization & Analysis

• Drive PPA analysis and optimization for Quadric GPNPU soft IP across process nodes and hardware configurations — timing, area, leakage, and dynamic power
• Apply low-power techniques (clock gating, multi-Vt, operand isolation) and synthesis/P&R knobs to hit frequency and area targets
• Characterize the IP design space across configurations and build PPA models that support customer evaluations and pre-sales engagements
• Partner with RTL and architecture teams early to quantify tradeoffs and influence design decisions before they become costly to reverse

Reference Flow Development

• Build and maintain a scalable RTL-to-GDS reference flow for Quadric soft IP that customers can use to evaluate, integrate, and close PPA in their own SoC environment
• Ensure the flow is portable across supported process nodes with clear BKMs, SDC templates, floorplan scripts, and integration guidelines
• Develop TCL and Python automation — and leverage AI coding tools such as Claude — to accelerate flow development, reduce manual effort, and improve repeatability
• Qualify EDA tool updates and benchmark QoR impact before rolling into the reference flow

Customer Integration & Tapeout Support

• Act as the primary PD contact for customers integrating Quadric soft IP, guiding them from evaluation through their SoC tapeout
• Help customers adapt the reference flow to their process node, foundry PDK, and internal design environment
• Triage and resolve customer-reported implementation issues — timing, congestion, power, or flow failures — working with internal teams to deliver fixes or updated collateral
• Support FAE and business development with PPA feasibility studies for new customer engagements

Collaboration & Documentation

• Work with architecture, RTL, and software teams to ensure IP deliverables meet customer-facing PPA targets
• Document methodologies, BKMs, and optimization learnings; maintain process node bring-up guidelines to support IP portability

Education & Experience

• BS/MS in Electrical Engineering, Computer Engineering, or related field
• 4+ years of ASIC or processor IP physical design experience focused on PPA optimization and flow development across advanced nodes

Technical Skills

• Proficiency with industry-standard physical design tools from Synopsys or Cadence (synthesis, place-and-route, and timing analysis)
• Experience with advanced FinFET process nodes (16nm and below); multi-node experience preferred
• Strong TCL scripting and Python automation skills
• Solid understanding of synthesis and P&R levers for PPA — timing paths, cell selection, congestion, and power intent
• Hands-on experience with low-power design techniques and MCMM timing analysis
• Comfort using AI tools (e.g., Claude, Copilot) to accelerate script development, automate repetitive EDA tasks, and improve workflow productivity
• Understanding of DFT concepts (scan, ICG bypass) and their physical design implications

Nice to Have

• Experience delivering soft IP to external customers or supporting SoC integrators through tapeout
• Background in AI accelerator, NPU, or DSP processor IP implementation
• Exposure to metrics-driven QoR tracking and large-scale synthesis run management

Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• Define and implement enterprise data architecture, including conceptual, logical, and physical data models.
• Lead the design and development of Master Data Management (MDM) solutions to ensure data consistency and accuracy across systems.
• Architect data migration strategies for large‑scale programs, including planning, mapping, validation, and execution.
• Design and oversee ETL/ELT frameworks for complex data transformation and integration workflows.
• Develop strategies to handle large data volumes, including partitioning, indexing, optimization, and performance tuning.
• Establish governance processes for metadata management and reference data management.
• Define and enforce data integration patterns, including batch, real-time, event‑driven, and API-based data flows.
• Collaborate with business stakeholders, data engineers, and application teams to translate business needs into scalable data solutions.
• Ensure compliance with organizational data standards, security policies, and regulatory requirements.
• Provide technical oversight during solution design, development, and deployment.
• All other duties as assigned.

Role Overview

- Mulesoft Architect with strong experience in MuleSoft integration and API-led connectivity.
- Someone with a solid foundation in Java and backend development, and hands-on experience with MuleSoft Anypoint Platform.
- A certified MuleSoft professional who can design, build, and manage APIs and integrations in a distributed, cloud-native environment.

Key Responsibilities

• Design, develop, and maintain MuleSoft Flows and integrations using Anypoint Studio and related tools.
• Build and maintain services using Java and Spring Boot.
• Lead the modernization of integration architecture and contribute to microservices design.
• Work closely with architects and product managers to align on integration strategies.
• Ensure performance, scalability, and security of integration solutions.
• Promote best practices in API design, testing, and CI/CD automation.
• Collaborate with DevOps teams for cloud-native deployments (e.g., Kubernetes, GCP).
• Collaborate with other platform teams to refine integration architecture and define technical work for peers
• Ability to help and train others in mulesoft

We’re looking for an AI Lead Developer with deep expertise in Generative AI and Agentic AI systems, combined with strong architectural leadership and client engagement capabilities.

This is a high-visibility role where you’ll architect scalable GenAI platforms, lead engineering teams, manage enterprise AI engagements, and build production-grade intelligent systems powered by LLMs, RAG architectures, ReAct agents, and advanced AI workflows.

What You’ll Do

• Architect and lead development of enterprise-grade Generative AI solutions using LLMs and advanced prompting strategies.

• Design and implement Agentic AI workflows, including ReAct (Reasoning + Acting) agents and multi-agent orchestration systems using frameworks such as LangGraph and LangChain.

• Build scalable Retrieval-Augmented Generation (RAG) architectures with context engineering, evaluation pipelines, and guardrails.

• Develop and optimize advanced prompting techniques (few-shot, zero-shot, chain-of-thought, self-reflection, structured prompting, tool-augmented prompting).

• Implement structured interaction frameworks using Model Context Protocol (MCP) or similar standards.

• Develop asynchronous, distributed AI applications optimized for performance and horizontal scale.

• Design modular AI systems using microservices architecture and API-first design principles.

• Implement AI monitoring, observability, and evaluation frameworks using tools such as Langfuse (for tracing, performance monitoring, hallucination tracking, and cost analysis).

• Work closely with DevOps teams to productionize AI solutions using Docker, containerization best practices, CI/CD pipelines, and cloud-native deployment models.

• Lead client and vendor engagements as the AI technical authority — driving architecture decisions and AI solution roadmaps.

• Mentor and manage AI/ML engineering teams, setting technical standards and architectural best practices.

• Deploy and manage AI systems in Azure cloud environments (preferred).

• Develop backend AI services, APIs, and data pipelines using Python and SQL.

• Drive responsible AI practices, governance frameworks, and model lifecycle management.

The Principal Design Engineer, Port Solutions Electrics, will be responsible for creating high‑quality electrical designs and documentation for port cranes or industrial cranes. The role involves interpreting project specifications, preparing detailed engineering drawings, ensuring compliance with international standards, and coordinating with project teams to deliver accurate and timely outputs.

Key Responsibilities

• Study and interpret project specifications, technical requirements, and engineering inputs.
• Prepare panel layouts, single line diagrams (SLDs), schematics, Bill of Materials (BOM), and cable lists as per project requirements.
• Plan and manage personal work activities to meet project timelines with high-quality deliverables.
• Improve and maintain the quality of drawings as per customer and company standards.
• Ensure effective communication and coordination within the team.
• Adhere to company policies, processes, and engineering guidelines.
• Travel to international customer sites as required (valid passport mandatory).
• Follow and maintain awareness of ISO 14001 & ISO 45001 standards.

The role is based in our office in SP Infocity, Pune – but it goes without saying that the remote & hybrid working is a part of our modern ways of working.

Required Qualifications & Skills

Educational Qualification

• Bachelor's degree in Electrical / Electronics / Mechatronics Engineering from a reputed university.

Experience

• Minimum 4–6 years of electrical design experience in port cranes or industrial cranes.

Technical Skills

• Strong knowledge of electrical engineering fundamentals:
  • Power distribution
  • Motor control (AC/DC drives)
  • Control and protection circuits
• Expertise in Zuken E3 and Teamcenter / SAP.
• Proficiency in creating electrical drawings including panel layouts, SLDs, schematics, BOMs, and cable lists.
• Experience in cable selection, LV switchgear selection, and understanding of motor control and protection circuits.
• Hands-on experience with AutoCAD (preferred).
• Familiarity with standards: IEC / UL / EN / CSA applicable to crane systems.
• Experience in port cranes or industrial cranes is an added advantage.

Soft Skills

• Good communication skills in English.
• Strong teamwork and collaboration abilities.
• Ability to work independently with attention to detail.

Position Overview

This position requires excellent understanding of wire rope hoists and its components. The hired Engineer will be responsible for the mechanical and structural design/engineering aspects of customized design solutions involving wire rope hoists; check technical specifications from order documents and make detailed order engineering drawings. Must be familiar with industry specifications including crane standards FEM & EN. Experience with welding and machining is required. Must be proficient with  CAD tools and Microsoft Office. Excellent Verbal and written communication plays a key role in this position. This position requires the direct interface between offer engineers, project management and production facility.

Major Responsibilities

• Interpret order documentation including order confirmation to determine scope of work
• Make production drawings for standard duty crane components as per the order received and within the specified time duration.
• Must be proficient in reading mechanical equipment and structural drawings.
• Perform engineering tasks using established procedures. Create equipment layouts, undertake all necessary mechanical and structural calculations to confirm designs and generate final mechanical and structural designs.
• Assure quality assurance in drawing & design process by monitoring the Key Performance Indicators (KPI’s) and implementing the corrective actions.
• Awareness of ISO 14001 and 45001 standards

Job Description: Design Engineer (Ex-Proof Order Engineering)

We are seeking a meticulous and detail-driven Design Engineer to join our Mechanical Component Order engineering team in Pune. In this role, you will be responsible for creating high-precision production drawings and 3D models for our customised solutions involving Explosion-proof (Ex-proof) Rope Hoists, Chain Hoists, and crane components.

The ideal candidate will possess a deep technical understanding of Hoisting solutions and a "first-time-right" approach to design. Since these products operate in hazardous environments, your work will be critical to ensuring both operational efficiency and human safety.

Key Responsibilities

• Design & CAD Modelling: Develop 3D CAD models and detailed 2D production drawings for customised wire rope hoists, chain hoists, and crane components using Siemens NX.
• Technical Documentation: Generate comprehensive Bills of Materials (BOMs), assembly instructions, and technical specifications for manufacturing in the production drawings.
• Data Management: Maintain design integrity, revisions, and workflows within the Teamcenter PLM environment.
• Work Management : Utilize SAP for daily Work Management and project tracking. Execute assigned tasks according to the Task Allocation schedule within the SAP
• Ex-proof Integration: Incorporate explosion-proof design principles (flameproof enclosures, non-sparking materials) into modularised hoist architectures.
• Collaboration: Work closely with the Order Management and Product Platform teams to resolve bottlenecks and ensure designs are optimized for fabrication.
• Awareness of ISO 14001 and 45001 standards

Exp: 10+ Years

Primary Skills: Microsoft Dynamics CRM, D365, C#, ASP.NET, Scripting, Azure, C#, OOPS, Team/Project Lead

Job Description and Responsibilities:

· Understand functional design and provide a technical architecture that will meet functional design

· Ability to read a software requirement and produce a technical specification.

· Ensure that there are complete unit tests for every component or task.

· Develop required functionality and feature by coding on .Net platform & Internal Framework.

· Review code and ensure it conforms to standards.

· Help improve quality of existing code base

· Ensure project is complete according to written specifications. Communication and Teamwork.

· Follow best practices while coding [.NET & Microsoft Dynamics CRM].

· Ensure that code is scalable for high performance scenarios

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

The Data Engineer will architect, develop, and maintain scalable data pipelines within a medallion architecture (bronze, silver/base vault, business vault, gold layers). This role is key in enabling high-quality, business-ready datasets by leveraging modern data engineering technologies and orchestration practices.

Role Responsibilities:

• Design, build, and manage end-to-end data pipelines across the medallion architecture—specifically the bronze, silver (base vault with DBT and orchestration tools, business vault), and gold layers.

• Ingest and process raw data using Spark and Amazon EMR for scalable, distributed computation.

• Develop and automate data transformations for the base vault using DBT (Data Build Tool) to standardize and model data efficiently.

• At least 5 years of experience as an Elasticsearch Data Engineer - ELK (Elasticsearch, Logstash, and Kibana) stack Expert knowledge)
• Java Spring Boot 
• IBM ACE Programming
• BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar
• Full English Fluency

Skills & Competencies

•  Strong understanding of data modeling, governance, and best practices in modern data architectures.
•  Excellent analytical, problem-solving, and communication skills.

Software / Tool Skills

• Elasticsearch - cluster optimization, query development, data modeling, performance tuning  & administration (4-6 Years) (Must)
• Deep experience with Spark, Python and ETLs and Amazon EMR (Must)
•  Hands-on experience with DBT for data transformation and modeling.
•  Apache Airflow, AWS Step Functions, or similar. (Must)
• Expert knowledge of Amazon S3 and Apache Iceberg for data storage and management.
• Experience with Kubernetes for container orchestration.
• Experience with Dremio, Looker, or equivalent business view/semantic layer technologies
• AWS Cloud – Intermediate, AWS Lambda (Must) , Step Functions, IAM, SNS, API Gateway, VPC, Transit Gateway, Intermediate (3-4 Years)
• JSON - Intermediate (4-6 Years)
• Jenkins – Data Pipeline Intermediate (4-6 Years) PLUS
• CloudWatch - Intermediate (4-6 Years) PLUS

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.