Total 3 Engineering job vacancies in Delhi

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

We are seeking a motivated Associate Machine Learning Engineer to join our team and contribute to building intelligent, data-driven solutions for real-world traffic and mobility challenges. You will work closely with a multidisciplinary team to design, develop, and deploy machine learning and computer vision systems using diverse sensor data from vehicles and road infrastructure.

Key Responsibilities

• Develop cutting-edge machine learning and deep learning solutions using multimodal sensor data from vehicles and road environments.
• Design and build scalable software pipelines for computer vision applications, including:
• Data curation and preprocessing
• Model training and evaluation
• Testing and validation
• Deployment and monitoring
• Create innovative solutions for complex traffic and mobility-related problems.
• Design and implement efficient, low-cost approaches for video-based inference.
• Train, fine-tune, and optimize machine learning and deep learning models for real-world performance and scalability.
• Collaborate with cross-functional teams to contribute to the development of advanced, production-ready systems.
• Stay up to date with emerging technologies, research, and open-source tools, and apply them to improve system performance and capabilities.

• Bachelor’s or Master’s degree in Computer Science or a related field.

• 2+ years of relevant experience in Machine Learning or Computer Vision.
• Strong understanding of machine learning and deep learning fundamentals.
• Experience with training and optimizing deep learning models, designing loss functions and hyper parameter tuning on real data.
• Solid foundation in mathematics including probability and statistics and linear algebra.
• Strong knowledge of data structures and algorithms.
• Proficiency in Python and C/C++.
• Experience writing modular, efficient, and testable code for production systems.
• Identify, leverage and develop expertise in emerging technologies, open source tools, and harness new techniques.

The AI Engineer is responsible for designing, building, and deploying AI and machine learning solutions that enhance Cielo’s products, analytics capabilities, and automation strategy. This role leads the development of scalable AI models, integrates advanced techniques such as LLMs and RAG, and partners across Product, Innovation, Technology, and Data Engineering to support enterprise-wide AI adoption. The AI Engineer provides technical leadership, contributes to AI strategy execution, and ensures that AI solutions are performant, secure, compliant, and aligned with business objectives.

• Design, develop, and deploy Generative AI, Agentic AI, or AI/ML models focused on talent acquisition use cases such as candidate matching, skill assessment, and recruitment forecasting
• Assess the effectiveness and accuracy of AI/ML models through rigorous testing, validation, and performance metrics analysis
• Identify new data sources and features that could enhance the quality and accuracy of AI/ML models to improve predictions and recommendations
• Perform data engineering tasks to source data from internal operational systems, client Applicant Tracking Systems, and 3rd-party vendors through APIs, direct database connections, and data exports
• Apply statistics, machine learning, and advanced analytic approaches to predict and optimize business outcomes in the talent acquisition space
• Build and maintain data pipelines using AWS services to ensure reliable data flow for AI/ML models
• Develop and optimize REST and SOAP APIs for internal and external consumption
• Implement and fine-tune large language models (LLMs) for specific talent acquisition tasks such as resume parsing, job description analysis, and candidate communication
• Create agentic AI systems that can autonomously perform recruitment tasks and assist human recruiters
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Document AI/ML models, data pipelines, and system architectures for knowledge sharing and maintenance
• Stay current with emerging AI technologies and methodologies to continuously improve our talent acquisition capabilities
• Work with business partners to translate their processes, rules, and requirements into actionable objectives.
• Apply statistics, machine learning, and advanced analytic approaches to predict and optimize business outcomes.

• JOB PURPOSE

• To ensure energy conservation and operation and maintenance of plants and equipment preventive maintenance schedules, engineering maintenance requests and new work orders are performed and correctly recorded and to provide a monthly work plan to CE for approval.
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• EXECUTIVE RESPONSIBILITIES & EMPOWERMENT
• To ensure each section of the Engineering is managed effectively, and results in maximizing productivity and quality of work.
• Ensure the effective operations management of the engineering department by setting maintenance standards, implementing preventive maintenance programs for all engineering utilities and ensuring that performance of equipment are regularly monitored and reviewed.  Responsible for the general complaints of maintenance, the preparation of equipment data sheets and spares requisitions for equipment failure and their implementation and submission to management.
• To provide monthly work plan to DOE/CE for approval.
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• KEY OPERATIONAL RESPONSIBILITIES

Operational:-

• Report to CE on all aspects of engineering, environmental controls and the operational efficiency of the property.
• To ensure adherence to all statutory regulations and fire codes by regularly reviewing policies and safety procedures.  Ensure that any tests and inspections required on plant by statutory authorities are carried out as and when required and that all records and documentation associated with such tests and surveys are correctly kept and/or displayed.  Ensure that the hotel fulfils all compliance requirements.
• Ensure the effective operation of all the mechanical and electrical systems and equipment by implementing and managing a preventative maintenance program.  Closely monitor the condition of the physical property and equipment by conducting continual inspections of the building.  Ensure that preventative maintenance schedules are in operation and regularly upgraded.
• Plans and implements a preventive maintenance program to try and achieve “zero” defects for all equipment in the Hotel
• Ensure that plant and equipment's are correctly operated M & E plant and equipment to suit the needs of the hotel
• Coordinates and assists management of hotel on internal campaign and activities of energy conservation programme.

Financial;-

• Control of Capital Project Planning, in liaison with management, to ensure capital funding is effectively allocated and budgeted in accordance with company directives and philosophy.
• Contribute to the hotel’s profitability by ensuring the effective management of the buildings environmental controls and energy conservation systems.  Evaluate, control and record energy usage and implement and upgrade energy conservation systems.
• Ensure the cost effectiveness and technical efficiency of all services performed by outside contracts by close supervision.  Ensure all work is carried out in accordance with contracts, leases, services agreements and warranties.

Administration:-

• To ensure preventive maintenance schedules are performed and correctly recorded.
• To report to DOE/CE of any out of order equipment that will affect hotel operation.
• To notify DOE/CE of any non-productive equipment use.
• To ensure Engineering maintenance requests are performed and correctly recorded.
• To report to DOE/CE of any maintenance requests that is more than 1 month outstanding.
• To inspect daily all plant rooms, kitchens, service outlets and record any defects for rectification
• To ensure new work orders that have been approved by DOE are performed and correctly recorded

Employee Handling:-

• Ensure a technically competent engineering staff by selecting, training and developing a motivated, well-qualified maintenance team.  Carry out regular work sampling studies within the department and evaluate the performance and productivity of personnel.
• Provides training of all department staff to ensure efficient operation, proper maintenance and repair to equipments as well as good morale
• Prepares monthly training schedule for the department as per need of staff members and monitors their progress
• To acquire and put into practice the multi-skilling in the engineering staff.
• To notify the DOE/CE of any breach of the hotel’s employee rules and regulations.
• Works with Human Resources on manpower planning and management needs

Confidentiality:-

The Assistant Manager is directed not to (either during or subsequently) without the company’s written consent, divulge any information concerning the hotel or any of its dealings, transactions or affairs which may come to his/her knowledge during or in the course of his/her employment with the company.