Saket, Delhi, Delhi Senior ai/ml engineer Jobs – 268 Open Jobs Today

CTO
PinnacleU —Gurugram, Haryana
- ₹40,00,000 - ₹50,00,000 a year
- Full-time
- APIs
- AI
- Communication skills
Quick apply
Product Lead – Conversational AI & CX Solutions
ICCS DigX —Noida, Uttar Pradesh
- ₹35,00,000 - ₹48,00,000 a year
- Full-time
- Product management
- APIs
- Agile
- Health insurance
Quick apply
13d
Senior Data Engineer - Gurugram
CLANX —Gurugram, Haryana
- ₹30,00,000 - ₹40,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
AI Engineer (Senior)
UpSolve Solutions LLP —Delhi, Delhi
- ₹10,00,000 - ₹24,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
- Paid sick time
Quick apply
Senior Software Engineer
Chegg —Jasola, Delhi, Delhi
- Full-time
- Remote
- System design
- Java
- Master's degree
Senior Machine Learning Engineer
Siemens —Gurugram, Haryana
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
AI/ML Engineer
Lenskart —Delhi, Delhi
- Full-time
- Hybrid work
- Oracle
- Master's degree
- Databases
AI/ML Engineer
Optum —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Java
- Health insurance
Lead Delivery AI Data Engineer
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- System design
Service Delivery Program Manager
TELUS Digital —Noida, Uttar Pradesh
- ₹45,00,000 - ₹60,00,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Associate- AI/ML Engineer(Sustainability)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
User Experience Designer / Product Designer - Senior
Spark Eighteen —South East District, Delhi
- Full-time
- SQL
- JavaScript
- AI
- Health insurance
AI Engineer
K&k Global Talents —Noida, Uttar Pradesh
- ₹4,74,665.39 - ₹17,75,633.09 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- System design
Quick apply
AI Agentic Software Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
4d
Senior AI/ML Engineer – Conversational AI & Voice Platform (BFSI)
Leadflownex AI Technologies pvt ltd —Indian Habitat Centre, Delhi
- ₹60,000 - ₹90,000 a month
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
11d
Senior Frontend Engineer (React/TypeScript)
Conxai Technologies GmbH —Gurugram, Haryana
- Full-time
- Remote
- MSW
- English
- Master's degree
Quick apply
Sr. AI Engineer
Deepmindz —Noida, Uttar Pradesh
- Up to ₹14,00,000 a year
- Full-time
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Quick apply
3d
0001-Vice President, Implementation Engineering
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- AWS
- AI
- Health insurance
Quick apply
3d
R&D Engineer 4, Software
Keysight Technologies, Inc. —Gurugram, Haryana
- Part-time
- Remote
- Engineering
- Master's degree
- Bachelor's degree
Senior QA Engineer
NEURABIT SOLUTION LLP —Noida, Uttar Pradesh
- ₹3,20,000 - ₹5,00,000 a year
- Full-time
- English
- JavaScript
- APIs
- Work from home
- Flexible schedule
Quick apply

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CTO

PinnacleU
Gurugram, Haryana

Quick apply

Job details

Full-time
₹40,00,000 - ₹50,00,000 a year

Qualifications

CI/CD
Cloud infrastructure
Cloud architecture
Mobile applications
Supply chain
Encryption
Logistics
Distributed systems
Continuous integration
APIs
Data science
AI
Communication skills
SDLC

Full job description

Position: Chief Technology Officer (CTO)

Location: Gurugram

Working Days: 5 days (Mon-Fri)

Experience Required: 12+ years

Company Overview

Our Client is an app-based logistics platform focused on improving freight movement through a connected digital ecosystem for shippers, fleet owners, and other stakeholders. The company aims to solve inefficiencies in load discovery, trip execution, live tracking, route planning, capacity utilization, and service reliability through scalable logistics technology.

Role Summary

The Chief Technology Officer (CTO) will lead Our Client’s end-to-end technology vision, platform architecture, engineering execution, infrastructure strategy, data platform, and security posture. This role is expected to build a resilient, cloud-native, API-first logistics platform that can scale across geographies, customers, partners, and high transaction volumes while enabling rapid product innovation.

Core Technical Ownership Areas

1. Architecture and Platform Design

Own the end-to-end architecture of the Our Client platform, including microservices, event-driven systems, APIs, data stores, partner interfaces, and frontend applications.
Define standards for domain boundaries, service contracts, versioning, reusability, and dependency management to ensure a modular and maintainable platform.
Design systems for high availability, horizontal scalability, fault tolerance, graceful degradation, and resilience under peak loads.

2. Tech Stack and Engineering Practices

Drive technology decisions across backend, frontend, mobile, cloud, data, and integration layers based on scalability, maintainability, and business speed.
Institutionalize strong engineering practices including clean architecture, coding standards, code reviews, unit and integration testing, automated regression, and release discipline.
Establish CI/CD pipelines and engineering workflows that support faster, safer, and more frequent deployments.

3. Cloud, DevOps, and Observability

Architect secure cloud infrastructure using modern deployment and orchestration practices, infrastructure as code, and cost-aware scaling principles.
Create observability standards covering logs, metrics, traces, dashboards, alerts, and root-cause analysis mechanisms.
Own reliability engineering practices including SLOs, incident response, capacity planning, release governance, backup, and disaster recovery.

4. Integrations, Telematics, and Security

Lead integration architecture for GPS devices, telematics systems, mapping providers, payment systems, and customer ERP/TMS/WMS platforms through secure APIs and webhooks.
Define standards for API gateways, authentication, authorization, partner onboarding, rate limiting, encryption, and secure data exchange.
Implement secure software development lifecycle practices, vulnerability management, secret management, and data protection controls.

5. Data Platform and AI/ML Readiness

Design the data platform covering event streaming, warehouse or lake architecture, reporting models, and analytics layers for operational and commercial insights.
Enable technology use cases such as ETA prediction, route optimization, pricing intelligence, demand forecasting, trip profitability, and utilization tracking.
Work with analytics and data science teams to productionize models with strong governance for data quality and model performance.

6. Engineering Leadership and Org Design

Build and lead a high-performance engineering organization across product engineering, platform, DevOps, QA, security, and data functions.
Hire senior engineers and technical leaders, define role clarity, create growth paths, and drive a culture of technical excellence and accountability.
Ensure clear separation and collaboration across architecture, delivery, product management, and business stakeholders as the company scales.

Required Qualifications

12+ years of experience in software engineering, platform development, or technology leadership.
At least 5 years in a senior technology leadership role such as CTO, VP Engineering, Head of Technology, or equivalent.
Strong experience in logistics, supply chain, mobility, marketplace platforms, SaaS, fleet-tech, or related high-scale technology environments.
Deep understanding of distributed systems, APIs, cloud architecture, mobile applications, scalable databases, and enterprise integrations.
Demonstrated success in building and leading cross-functional engineering teams and delivering reliable production-grade systems.
Strong business orientation, problem-solving ability, and stakeholder communication skills.

Reporting Structure

The CTO will report directly to the Founder and CEO and will work closely with leadership across operations, sales, finance, and product functions to translate business priorities into scalable technology capabilities.

Quick apply

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