11+ Service operations Jobs in Mumbai | Service operations Job openings in Mumbai

AFS Operations

·         70% office and 30% site work.

·         End-to-end call coordination and follow-ups.

·         We will get candidates from construction or manufacturing industry.

Designation : Executive – Aftersales (AFS) – Operations

Department : Aftersales Service (AFS) – Operations

Reporting to : Assistant / Senior Manager – Operations

Department Head : Senior Manager – Operations

�� Role Summary

The Executive – AFS Operations is responsible for execution, coordination, and closure of Aftersales Service

jobs including service visits, repairs, AMC/PMC activities, and material movement. The role ensures timely

deployment of technicians, accurate job documentation, coordination with commercial and billing teams, and

adherence to safety and quality standards. This position plays a critical role in on-time job completion and

billing readiness.

�� Education & Skills

• Diploma / Graduate in Mechanical / Electrical Engineering

• 1–3 years of experience in service operations or site coordination

• Basic understanding of service workflows, job cards, and safety norms

• Proficient in emails, Excel, WhatsApp coordination, and basic CRM usage

• Strong coordination skills, problem-solving ability, and discipline

�� Key Responsibilities

�� Job Planning & Execution

1. Receive approved Sales Orders (SO) / work instructions from AFS Commercial

2. Plan service execution schedules in coordination with clients

3. Deploy technicians as per job requirements and skill set

4. Ensure technicians report on time to site and start work as scheduled

5. Monitor daily job progress and site status

��‍�� Technician & Site Coordination

1. Allocate manpower, tools, and consumables as required

2. Coordinate with stores for spares or material dispatch

3. Ensure technicians follow safety procedures and site protocols

4. Handle site-level issues and escalate when required

Job Description - JD & KPIs

5. Approve technician attendance and service completion details

�� Documentation & Billing Support

1. Ensure accurate job card entries (service details, dates, signatures)

2. Collect signed job cards, acknowledgments, and completion certificates

3. Verify GRNs, delivery challans, and service reports

4. Share complete and verified documents with AFS Commercial for billing

5. Ensure zero discrepancies in job documentation

��️ CRM Updates & Reporting

1. Update job execution status daily in CRM

2. Close jobs in CRM post completion with all supporting documents

3. Maintain execution tracker (job-wise, technician-wise)

4. Report delays, site issues, or client concerns to seniors immediately

5. Support audits by providing execution records when required

�� Stakeholder Coordination

1. Coordinate with AFS Commercial for job scope clarification

2. Liaise with finance for billing-related clarifications

3. Coordinate with safety team for audits or site compliance

4. Support client communication regarding service schedules and closures

5. Assist seniors in resolving escalated operational issues

�� Key Performance Indicators (KPIs)

• On-time job execution as per committed schedule

• Zero rework due to operational or documentation errors

• Timely submission of billing-ready documents

• CRM job closure accuracy and timeliness

• Client satisfaction and minimal escalations

�� Career Progression Pathway

Job Description - JD & KPIs

Page 3 of 3

Level Title Key Criteria for Progression

Entry Executive – AFS Operations Timely execution, accurate documentation, discipline

Level 1 Senior Executive – Operations Handling multiple sites, technician planning

Level 2 Assistant Manager – Operations Independent site ownership, client handling

Level 3 Manager – Operations Team management, regional operations control

�� Growth Factors

Area Indicator

Execution Discipline Jobs completed within planned timelines

Documentation Accuracy Zero missing or incorrect job records

Coordination Smooth inter-departmental communication

Escalation Readiness Issues escalated within 24 hours

Learning Curve Independent handling of jobs within 2–3 months

�� Evaluations

Quarterly evaluations will be conducted by the Department Head, with HR involvement as required, based on

performance against KPIs, documentation quality, and operational discipline.

Role : Sales Engineer ( Fresher )

Qualification Required : Diploma / B.E / B.Tech ( Mechanical)

Job Location : Mumbai 

Experience : Fresher ( 0-6months)

Looking for candidates who want to build a career in Sales Engineering role in Elevator / Escalator Manufacturing company

Industry & Sector

A company operating in the building vertical-transportation sector, supplying, installing and servicing elevators, escalators and related mobility solutions for commercial, residential and transit projects across India. We deliver end-to-end vertical mobility systems, technical consulting, tendering and aftermarket support to developers, contractors and facility owners.

Role Overview

We are seeking an Fresher for Sales Engineer (Elevators & Escalators) to drive regional business development, own technical sales engagements, prepare competitive proposals and work closely with engineering and project teams to secure and execute orders.

Role & Responsibilities

Manage the full technical sales cycle for elevators and escalators: prospect, qualify, scope, propose, negotiate and close contracts.

Conduct on-site surveys and load/space assessments; produce accurate technical specifications, BOQs and compliant engineering proposals.

Prepare and submit commercial bids and tender responses; coordinate with estimating and project teams to optimize pricing and delivery timelines.

Collaborate with design, engineering and installation teams to convert customer requirements into feasible solutions and ensure smooth project handover.

Maintain CRM records, update pipeline and sales forecasts; proactively follow up on leads and post-sales service opportunities.

Provide pre-sales technical demonstrations and post-order technical support to customers, ensuring high customer satisfaction and repeat business.

Job Title : Software Test Engineer (Manual & Automation)

Experience : 3 to 5 Years

Location : Andheri East, Mumbai

Role Overview :

We are looking for a detail-oriented and proactive Software Test Engineer with strong experience in both manual and automation testing.

The ideal candidate should be hands-on across the complete testing lifecycle and comfortable working with modern testing tools, APIs, databases, and scripting.

Mandatory Skills :

Manual & Automation Testing, API Testing (Postman/Swagger), Load/Performance Testing, SQL/Database Queries, Basic Scripting, Test Case Design, Defect Tracking, and use of Test Management/Project Tracking Tools.

Key Responsibilities :

• Participate in all phases of the testing lifecycle: test strategy, test case design, execution, and automation.
• Perform functional, regression, API, and load testing.
• Use project tracking and test management tools effectively.
• Conduct debugging and responsiveness testing using browser developer tools.
• Work with databases to validate data through basic queries.
• Collaborate closely with developers and product teams to ensure quality delivery.
• Identify, report, and track defects with clear documentation.
• Continuously adopt new testing tools, practices, and industry standards.

Required Skills & Qualifications :

• Strong hands-on experience in Manual and Automation Testing.
• Experience with API testing tools (Postman/Swagger or similar).
• Experience with Load/Performance testing tools.
• Knowledge of SQL/Database querying.
• Basic scripting knowledge in any programming language.
• Familiarity with test management and project tracking tools.
• Excellent analytical, problem-solving, written, and verbal communication skills.
• Quick learner with a keen eye for detail and quality.

Location- Kalyan Bypass to Nashik Highway

🔧 Position Summary

The Maintenance Engineer is responsible for ensuring the smooth operation, reliability, and optimal performance of plant machinery and equipment. The role involves preventive and corrective maintenance, troubleshooting mechanical and electrical issues, and minimizing downtime to support continuous production operations.

🛠 Key Responsibilities

Develop and implement effective maintenance strategies and procedures.

Perform preventive, predictive, and breakdown maintenance of machinery and equipment.

Conduct routine inspections, lubrication, cleaning, and adjustments of systems.

Diagnose mechanical and electrical faults and carry out necessary repairs.

Coordinate with production and engineering teams to minimize downtime.

Maintain maintenance records, work orders, and equipment logs.

Ensure compliance with safety standards and company policies.

Manage spare parts inventory and ensure availability of critical components.

Participate in shutdown maintenance and improvement projects.

Support continuous improvement initiatives to enhance equipment reliability.

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.