Lead Python Specialist in India

About Us Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives. This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform. The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases. This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions. Key Responsibilities 1. Analytics Strategy, AI Vision & Business Impact · Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals. · Translate business problems across acquisition, activation, trading behavior, retention,

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: Play a key role in ensuring product quality, reliability, and performance. Define test strategies, lead automation initiatives. Design and execute manual and automated tests for UI, API, and database layers. Develop and maintain test automation frameworks using Selenium, Playwright, or similar tools. Write, execute, and optimize test scripts integrated with CI/CD pipelines (e.g. Jenkins). Perform API and database validations, analyze logs, debug failures, and report defects clearly. Collaborate closely with developers, product managers, and DevOps for end-to-end quality assurance. Apply strong coding, testing, and problem-solving skills to identify risks and improve test coverage. Who You Are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 1+ years of hands-on experience with QA Automation Framework development & Design (Preferred language: Python). Strong understanding of testing methodologies. Experience with Python, Perl, Shell Scripting, Selenium, Test Automation (QA), and Software Testing (QA) (Preferred). Experience in Software Development, SDET (must have). Strong problem analysis, troubleshooting and debugging skills. Experience in databases, preferably MySQL. REST/API testing experience is a plus. Ability to integrate end-to-end tests with CI/CD pipelines and monitor and improve metrics around test coverage. Ability to work in a dynamic and agile de

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the role Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Director - Data Science to lead a team of skilled data scientists in building intelligent systems that power Meesho’s next phase of growth. In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement. What You Will Do Lead, grow, and mentor a high-performing team of data scientists.. Own all data science systems and models in your charter — from strategy to deployment and monitoring. <li style="font-size:

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

Opportunity Overview: We are seeking an experienced and driven Sr. Technical Talent Acquisition Partner to join our Talent Acquisition team and spearhead hiring initiatives for our Healthcare Technology organization. The ideal candidate will have strong technical hiring expertise, a deep understanding of engineering roles (e.g., software development, data engineering, cybersecurity, cloud, etc.), and a passion for healthcare innovation. In this role, you will lead strategic hiring efforts, partner closely with business leaders to attract top-tier engineering talent aligned with the evolving needs of the healthcare tech landscape. You will play a key role in scaling high-performing technology teams that are building transformative healthcare solutions. What you’ll do: Recruitment: Lead and own the end-to-end recruitment lifecycle from sourcing, screening, and interviewing to offer negotiation and onboarding for critical IT roles across domains like software engineering, data science, cloud, DevOps, cybersecurity, and healthcare IT systems. Assess candidates for both technical and cultural fit; conduct initial technical interviews when appropriate. Drive diversity, equity, and inclusion (DEI) in hiring initiatives. Stakeholder Management: Serve as the primary point of contact for senior-level hiring, workforce planning, and executive recruitment. Partner with business, HRBPs, and leadership to forecast talent needs and develop proactive sourcing strategies. Collaborate with global TA and business teams on talent pipeline planning and role prioritization. Sourcing & Market Intelligence: Design and execute advanced sourcing strategies across platforms, leveraging multiple sourcing channels including job boards, LinkedIn, employee referrals, campus outreach, and recruitment agencies. Employer branding: Represent the company at tech events, career fairs, and employer branding campaigns to attract top talent. Conduct regular market mapping and talent intelligence repor

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

About the Team The Tax Technology Automations & Innovation team — known internally as the AI Team — builds the automations, Generative AI, and internal tooling that let DoorDash's global Tax function scale as the business grows across the US, Canada, and — through Wolt and Deliveroo — internationally. We turn manual, repetitive tax work into reliable, governed software, and we bring modern AI into the heart of how a tax function operates — responsibly, and with auditability built in. The team is organised into an AI Strategy function and three regional pillars: EMEA, US & Canada, and Coffee & Special Projects. This role sits in the AI Strategy function and reports to the Tax Technology lead. You will set the technical and AI direction the three regional pillars build around, and partner across Tax, Tax Tech, Data Operations, Accounting, Product, and Engineering, as well as InfoSec, Internal Audit, and Compliance. About the Role DoorDash is looking for a senior-level AI and data expert to lead how the Tax department operates through automation, Generative AI, and intelligent data tooling. Beyond building high-impact automation, you will set the strategy for how LLMs, GenAI, and machine learning are integrated into critical tax workflows at scale, and act as the AI authority for the function. This is the role that makes the entire team AI-native rather than merely AI-assisted. By owning the AI and automation governance framework, you will also ensure that everything the team builds on top of sensitive tax data stays controlled, defensible, and audit-ready. You don't just build — you set the bar, mentor the regional teams, and decide how we adopt a fast-moving technology responsibly. You're excited about this opportunity because you will… Define and lead the GenAI strategy for the Tax function, identifying high-value use cases and setting adoption standards. Architect and deploy enterprise-grade AI solutions — intelligent assistants, AI-driven classificatio

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Senior Mechanical Engineer — Robotics Hardware Location - Bangalore Instawork Robotics Labs is building Instacore, our proprietary five-camera and IMU wearable capture rig. Hundreds of units operate across India every day, collecting real-world data used to train frontier Physical AI models. We are looking for a senior, mechanically focused engineer to own the complete hardware lifecycle for Instacore and future hardware products. This person will independently lead design, prototyping, manufacturing, testing, deployment, logistics, maintenance, and continuous improvement. What you’ll do - Own the mechanical design and development of Instacore and other robotics hardware from initial requirements through production and field deployment. - Create detailed CAD models, assemblies, engineering drawings, bills of materials, and manufacturing documentation. - Rapidly prototype and validate designs using 3D printing, machining, fabrication, and off-the-shelf components. - Design durable mounts, enclosures, fixtures, wearable components, packaging, and protective systems. - Own design for manufacturability, assembly, serviceability, reliability, and cost. - Improve cable routing, connector retention, strain relief, thermal management, ingress protection, and resistance to vibration and impact. - Design packaging and logistics processes that prevent damage during storage and transit. - Establish verification, stress-testing, quality-control, and acceptance-testing procedures. - Investigate field failures, d

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Role Summary We are seeking an experienced and dynamic MES Manager to lead end-to-end delivery, operations, and transformation of Manufacturing Execution Systems. The role is responsible for MES deployment, production support, team leadership, and driving digital manufacturing initiatives aligned with business goals and Industry 4.0 roadmap. Key Responsibilities • Lead MES deployments (New fab, expansions, upgrades) including planning, resourcing, risk management, UAT, and production cutover while ensuring compliance with manufacturing and quality standards Experience in designing scalable and maintainable software architecture Ability to analyze complex system requirements and translate them into effective software solutions • Own go-live readiness, roadmap, and continuous enhancements including system integrations (Equipment, SPC, SAP, Data platforms) aligned with manufacturing and Industry 4.0 strategy • Drive standardization across sites, ensuring effective change management and version control • Own MES production support (including 24x7 operations), enforce incident/problem management, and lead RCA to improve system stability • Lead critical downtime events and factory escalations to minimize business impact • Build and lead MES team, strengthening SME capability and ensuring strong execution • Drive improvements in manufacturing KPIs such as cycle tim

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho. What You'll Do Lead, mentor, and grow a team of AI engineers — setting technical direction, raising the engineering bar, and owning execution and delivery end to end. Architect and scale Meesho's AI platform: cross-region model inference, multi-GPU fleet allocation and management, distributed training, and feature-engineering infrastructure. Drive inference optimization across the full stack — GPU kernel tuning, quantization (including outlier/tail-distribution handling), and memory/IO-bandwidth optimization — while building agents that codify and delegate known optimization procedures. Optimize open-weight models at both the model and inference-engine level — distillation, quantization, speculative decoding, KV-cache and serving-engin