11+ Due diligence Jobs in Mumbai | Due diligence Job openings in Mumbai

• Obtain and maintain a thorough understanding of the financial reporting and general ledger structure.
• Ensure an accurate and timely monthly, quarterly and year end close.
• Ensure the timely reporting of all monthly financial information.
• Assist in the daily banking requirements.
• Ensure the accurate and timely processing of pay transactions.
• Ensure the monthly and quarterly Statutory Compliance activities are performed in a timely and accurate manner.
• Supports budget and forecasting activities.
• Monitors and analyzes department work to develop more efficient procedures and use of resources while maintaining a high level of accuracy.
• Responds to inquiries from the CEO & COO
• To ensure a clean and timely year end audit.
• To ensure all financial reporting deadlines are met.
• Assist in development and implementation of new procedures and features to enhance the workflow of the department.
• Highlight the issues immediately to the CEO & COO

Education Qualifications:

CA Qualification   

Experience & Skills:

• 4-5 years of experience having thorough knowledge of Audit, Finalization of Accounts, Balance sheet, PL Account
• Proven work experience as a GST.
• Wellverse with Tally, ERP.
• Computer literacy (MS Excel, Word etc.) Familiar with accounting software packages. Experience in IDS preferred.
• Excellent communication skills in English.

Quality Control (QC) Engineer / Inspector

Location : Sanpada ( Navi Mumbai)

Qualifications Skills :

Education

 Diploma or Bachelor’s Degree in Civil Engineering, Mechanical Engineering, Architecture, or related field.

Experience

 2–7 years of experience in façade QC, curtain wall systems, cladding, or aluminium / glass fabrication.

 Knowledge of façade materials, production processes, and installation techniques.

Technical Skills

 Familiarity with quality standards: ASTM, EN, BS, ISO.

 Ability to read engineering drawings and façade shop drawings.

 Knowledge of QA/QC procedures, ITPs, and NCR management.

 Understanding of façade testing procedures.

Soft Skills

 Strong attention to detail.

 Good communication and reporting skills.

 Ability to work with cross-functional teams.

 Analytical and problem-solving abilities.

Working Conditions

 Work split between production facility and construction site (depending on projectstage).

 Requires physical inspection of façade elements at various heights or scaffolding (as per safety rules).

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

Key Responsibilities

• Data Modeling & UI: Extend MDG Data Models (MARA/MARC/MARD), configure UI/FPM (Floorplan Manager) feeder classes, and develop custom entities/attributes.
• Rule Engine & Logic: Program complex validation/derivation logic in BRF+ and custom BAdIs (USMD_RULE_SERVICE, USMD_ACC_CHECK).
• Workflow Technicals: Customize and debug Rule-Based Workflows (RBWF) and change request (CR) step configurations.
• Data Replication: Configure and troubleshoot DRF+ (Data Replication Framework), Key/Value Mapping, ALE/IDocs, and OData/SOA web services.
• Integrations & Mass Maintenance: Handle technical integration with external systems (PLM/Catalogues) and manage technical configurations for SAP CMP (Consolidation & Mass Processing).

Must-Have Technical Skills

• 6+ years of hands-on SAP MDG Backend Technical Development (MDG-M specific).
• Strong expertise in BRF+, Data Modeling, FPM / Web Dynpro ABAP, and DRF+.
• Deep knowledge of Core ABAP / OO-ABAP, BAdIs, Enhancement Framework, and ALE/IDocs.
• Hands-on experience with S/4HANA ABAP, CDS Views, AMDP, and OData Services.

Visionyle is Hiring for UK Based Company- Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure

· Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

· The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.

· With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Job Title: Sales Consultant / Senior Sales Consultant

Locations: Delhin(GK1), Gurgaon (Sushant Lok), Ludhiana

Job Description:

We are seeking a dynamic and experienced Sales Consultant to build strong relationships with clients seeking personalized hair loss treatment solutions. The ideal candidate will offer tailored advice based on factors such as facial features, age, profession, personality, and individual expectations.

Key Responsibilities:

• Conduct thorough hair assessments to determine the stage of hair loss.
• Educate clients on the causes and solutions for hair loss, providing personalized counseling based on their specific needs.
• Understand client expectations, suggest appropriate procedures and products, and use visual aids to communicate achievable results.
• Set daily consultation and revenue targets, regularly evaluating performance against objectives.
• Achieve monthly revenue targets, driving the studio's financial growth.
• Demonstrate an entrepreneurial mindset and work closely as a business partner to achieve shared goals.

Qualifications and Skills:

• Bachelor’s degree required.
• Preferred age: 32 years and above.
• Minimum of 6+ years of experience in sales.
• Results-oriented approach with a strong focus on meeting and exceeding monthly revenue targets.
• Excellent verbal and written communication skills.
• Strong organizational skills with the ability to prioritize and manage multiple tasks effectively.
• Consultative, one-on-one selling approach.
• Experience in working directly with high-net-worth clients (HNI) in face-to-face consultations.

Only Male candidates

Job Title: Site Reliability Engineer (SRE) / Application Support Engineer

Experience: 3–7 Years

Location: Bangalore / Mumbai / Pune

About the Role

The successful candidate will join the S&C Site Reliability Engineering (SRE) Team, responsible for providing Tier 2/3 support to S&C business applications and environments. This role requires close collaboration with client-facing teams (Client Services, Product, and Research) as well as Infrastructure, Technology, and Application Development teams to maintain and support production and non-production environments.

Key Responsibilities

• Provide Tier 2/3 product technical support and issue resolution.
• Develop and maintain software tools to improve operations and support efficiency.
• Manage system and software configurations; troubleshoot environment-related issues.
• Identify opportunities to optimize system performance through configuration improvements or development suggestions.
• Plan, document, and deploy software applications across Unix/Linux, Azure, and GCP environments.
• Collaborate with Development and QA teams throughout the software release lifecycle.
• Analyze and improve release and deployment processes to drive automation and efficiency.
• Coordinate with infrastructure teams for maintenance, planned downtimes, and resource management across production and non-production environments.
• Participate in on-call support (minimum one week per month) for off-hour emergencies and maintenance activities.

Required Skills & Qualifications

• Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field (BE/MCA).
• Master’s degree is a plus.
• Experience:
• 3–7 years in Production Support, Application Management, or Application Development (support/maintenance).
• Technical Skills:
• Strong Unix/Linux administration skills.
• Excellent scripting skills — Shell, Python, Batch (mandatory).
• Database expertise — Oracle (must have).
• Understanding of Software Development Life Cycle (SDLC).
• PowerShell knowledge is a plus.
• Experience in Java or Ruby development is desirable.
• Exposure to cloud platforms (GCP, Azure, or AWS) is an added advantage.
• Soft Skills:
• Excellent problem-solving and troubleshooting abilities.
• Strong collaboration and communication skills.
• Ability to work in a fast-paced, cross-functional environment.

Candidate should be aware about backend testing

• Writing unit test cases using Junit and Mockito.
• Writing integration test cases using Spring Boot Test.
• Writing acceptance tests using Cucumber.

Candidate should be aware about frontend testing

• Writing Angular component tests using Jasmine and Karma.
• Writing Angular integration tests using Cypress and Cucumber.
• Candidate should be aware about backend testing
• Writing unit test cases using Junit and Mockito.
• Writing integration test cases using Spring Boot Test.
• Writing acceptance tests using Cucumber.
• Candidate should be contributing in designing and implementing regression test pack.
• Candidate should be aware about post deployment test suite.

If you can put one leg into the analogue world and another leg into the digital world to quickly translate business objectives into technical recruitment into software screens... If you think the computer screen is the world that you really want to make an impact on it is more significant than life. Then come join us.

Think you’ve got it in you? Let’s check the requirements:

• Excellent verbal and written communication skills (They always say communication is key, don’t they?)
• Time management (Time is always of the essence at iThink)
• Organisational skills 
• Be well versed with the draw.io tool or any flow chart-making tool (going with the flow is good, but so is planning!) 

And that’s it! 

What duties does the job involve?

During your time as a Business Analyst on our ITL team, you will be:

• Enjoying your time with us

This we can assure you of, but apart from it, you will be required to:

• Creating technical reports, activity diagrams, BRD, FRD and manuals for the team (help us help others?)
• Developing workflow charts for system changes
• Monitoring each project's progress and optimising processes (concrete results for our efforts, you know?)
• Work as a SPOC between the Tech and Marketing Team and other stakeholders (like we said, coordination skills are a must!)
• Collaborate with project sponsors to determine project scope and vision (great minds don’t always have to think alike!) 
• Require Knowledge of the Balsamiq Tool.
• Should have a basic understanding of Figma.

• Building a whole IT network or setting up a PC and access permissions for a new hire, providing technical support the organization’s day-to-day operations. This process involves both hardware and software setup.
• Conducting basic induction IT training of new employee in organization. Also often interaction and timely provide training to end users who may not be familiar with the finer points of IT.
• Responsible for liaising with affected stakeholders, identifying the problem, devising a solution, and implementing that fix.
• Handling updates, upgrades, and other maintenance tasks in both hardware and software areas.
• Providing support by telephonic or skype to the out locations staff and ensuring to fix up the problem within a timeline e.g. VPN issues
• Vendor Management – checking and processing the bills without any error. Also ensuring to be made payment on time for smooth operation in daily work
• Working with IDAM ticketing tool and log/assigning calls and resolving as per priority
• Taking care of AMC/Warranty of all company infrastructure.
• Maintaining Asset Register and keeping record of IT equipment.
• Route problems to internal 2nd and 3rd level IT support staff.

• Troubleshooting & configuring on Microsoft outlook & Web mail.
• Escalating complex problem to supervisor and appropriate support specialists
• Installation, configuration and troubleshooting Local and Network Printers

• Taking care of all other responsibilities assigned from time to time.

• Desktop and Laptops support for troubleshooting of win XP, Win 7, win 8, win 10, ubuntu.
• Installation of servers 2008, 2012.
• Working with  Arc server Backup solution Restoring and Backup wizard.
• Keeping track of all the IT Infra assets with tagging and submitting report to finance team for audit of infrastructure assets.
• Antivirus updating, configuring, schedule scanning.
• Onsite support
• Working with nutanix hypervisor like create new server, configuration new server (memory, storage , cpu , network)    take snapshot, snapshot restore, etc