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Manager Mechanical in India

2,214 active opportunities · Updated October 2026

Explore current manager mechanical jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

S
📍 Bengaluru, INDIA, India· Full-time
✓ Quality checkedCompany trend -58.3%

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

PythonSQLAWSAzure
S
📍 Bengaluru, INDIA, India· Full-time· Hybrid
✓ Quality checkedCompany trend -58.3%

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

PythonSQLAWSAzure
S
📍 Bengaluru, INDIA, India· Full-time
✓ Quality checkedCompany trend -58.3%

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

PythonSQLAWSAI
PE
📍 India· Full-time
✓ Quality checked

About the Role We are seeking an experienced Privacy Lead to establish, manage, and continuously enhance the organization's Privacy Program across business functions, products, technology platforms, and third-party ecosystems. The ideal candidate will possess deep expertise in privacy regulations including India's Digital Personal Data Protection Act (DPDP Act), GDPR, and privacy governance frameworks. The individual will partner closely with Legal, Compliance, Information Security, Product, Engineering, Risk, HR, and Business teams to ensure privacy-by-design principles are embedded into organizational processes and technology solutions. The Privacy Lead will serve as the subject matter expert for privacy governance, regulatory compliance, privacy risk management, data subject rights management, privacy impact assessments, and data protection controls. Key Responsibilities Privacy Governance & Strategy -Develop and execute the enterprise-wide Privacy Program and Privacy Governance Framework. -Define privacy policies, standards, procedures, and controls aligned with regulatory requirements. -Establish Privacy-by-Design and Privacy-by-Default principles across products and services. -Build privacy risk management and privacy control monitoring mechanisms. -Advise executive leadership on emerging privacy risks and regulatory developments. -Act as the organization's privacy subject matter expert for audits, inspections, and regulatory reviews. Regulatory Compliance Lead compliance initiatives for: -Digital Personal Data Protection Act (DPDP Act), India -GDPR (General Data Protection Regulation) -ISO 27701 Privacy Information Management System -RBI data governance and customer data protection requirements -Applicable privacy and data protection obligations relevant to the Banking, FinTech, Payments, and Technology sectors Responsibilities include: -Regulatory gap assessments -Compliance monitoring -Privacy control implementation -Privacy risk assessmen

P
📍 Noida, Uttar Pradesh, India
✓ High-confidence listingCompany trend -22.2%
Quick readStrong listing-quality and freshness signals

Job Title: Client Onboarding & Product Specialist Company: Paytm Location: Noida Department: Business / Customer Success / Product Role Overview We are looking for a proactive and customer-focused professional to manage the onboarding and adoption journey of new clients at Paytm. The role involves conducting product demos, guiding clients through setup and integrations, resolving onboarding challenges, and ensuring smooth adoption of Paytm’s solutions. The ideal candidate should have strong communication skills, a problem-solving mindset, and the ability to work closely with Sales, Support, and Product teams. Key Responsibilities Lead new clients through a smooth and structured onboarding process, ensuring successful product setup and activation. ● Conduct product demos, product tours, and personalized training sessions to help clients understand and effectively use Paytm’s solutions. ● Guide clients through WhatsApp Marketing integrations, campaign setup, and relevant product functionalities. ● Act as the primary point of contact during onboarding, addressing setup-related queries and troubleshooting issues to ensure a seamless experience. ● Monitor client adoption and proactively identify opportunities to improve product usage and engagement. ● Simplify complex product or technical processes and help clients move from initial onboarding challenges to confident product usage. ● Collaborate with Sales, Customer Support, and Product teams to resolve client issues and share actionable customer feedback. ● Track onboarding progress, client requirements, and issue resolution while ensuring adherence to defined SLAs. ● Monitor campaign performance and support clients in optimizing their multi-channel campaigns. ● Identify recurring client challenges and work with internal teams to improve processes, product experience, and onboarding journeys. ● Maintain accurate records of client interactions, onboarding status, feedback, and resolutions. Key Skills ●

AG
📍 Ahmedabad, Gujarat, India
✓ Quality checkedCompany trend -84.3%

The Head of Technology / CTO in the solar industry shapes and executes the strategic vision for the Technology Department, ensuring alignment with organizational goals. This role oversees R&D across solar technologies, drives innovation, and manages budgets and resources effectively. By fostering cross-functional collaboration and ensuring compliance with industry standards, the Head promotes continuous improvement and transparency, enhancing the company’s technological capabilities and market competitiveness. Source: Adani Group | Job ID: 57973

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