About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov’s Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end — from Design & Discovery to Build, Scale, and Run. In GE, you don’t work in silos. You: Own complex, end-to-end client journeys Work across GCC advisory, managed services, and BOT / outsourcing models Influence leadership decisions that shape long-term talent and operating strategies This is where strategy meets execution — and where talent plays a defining role. About the Role As Project Lead II , you will own consulting engagements end-to-end and lead high-stakes workstreams across technology-led domains (TMT, Aerospace, Automotive, Manufacturing, Te
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Manager Of Transmission Line Engineering in India
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Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex
Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper
Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally. Example Responsibilities . Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. Design and implement machine learning, deep learning, classical CV focused on fraud detection. Research to support the deployment of the advanced algorithms. Deploy models as AWS SageMaker endpoints or directly onto devices. Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences. Work collaboratively with other engineers and product managers in an Agile development environment. Experience and Qualifications Bach
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.
Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. Key Responsibilities Ensuring Quality standards across various projects in Britive by adhering to quality engineering practices, testing and release planning for Quality Engineering team across releases. Performing manual testing and help maintain quality standards of software. Collaborate with QA team members, development, UI/UX engineers, and project managers to build a creative, powerful and unified user experience for our cloud access application. Analyze product requirements and develop test designs, including test strategy, test setups by identifying right test cases. Reviewing all product artifacts related to testing (e.g. plans, requirements, specifications, tests, test results, traceability, design reviews, reports, etc.). Involved in all quality engineering activities including working with Performance Testing Team and ensuring all the testing activities for the release are adhered too. Continually work on improving metrics gathering and bring up initiatives to improve the Quality Engineering team. What will you need? Required Skills: Prior experience working in a security software product comp
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the job DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides an in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. In this role, you will Build core capabilities for our SaaS Platform across multiple clouds Drive development of functional enhancements for Data Discovery, Observability & Governance for both OSS and SaaS offering Lead efforts around non functional aspects like performance, scalability, reliability Lead and mentor junior engineers Work closely with PM, Customers and OSS community Requirements Over 8+ years of experience building and scaling backend systems, preferably in cloud-first or SaaS environments. Solve complex tech
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Producer Zynga games is seeking an outstanding Producer to join our production team in Bangalore. We are looking for a hardworking, motivated and passionate individual to help manage our live game operations. You are hardworking, incredibly organized, detail oriented and have good interpersonal skills. You love solving complex problems, collaborating, enabling and influencing business leaders. Position Overview: The role will enable you to lead/assist live game production and operations of our Web/ Mobile game portfolio. You will be actively involved in defining and delivering new and exciting experiences through features and content to our very extensive and committed player base. Responsible for creating and executing a roadmap that aligns with the game and the company vision and driving your team to realize t
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga, the global leader in social games, is currently seeking a full-time Lead Producer. We are looking for a passionate, self-motivated and experienced leader to manage scheduling and lead all aspects of the development processes. Are you highly organized with excellent communication skills, and a proven track record in management for both internal and external studios? This position will keep a clear line of communication with the game’s development /production team and will build and maintain task lists and schedules for the project. A crucial part of the producer role is the communication of the key daily, weekly and quarterly goals, achievements, issues, concerns and updates to the team. Under the direction of the Executive Producer, work will encompass identifying, describing, tracking a
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