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• Drive employee Engagement initiatives through effective employee connect, conduct periodic communication forums, open house forums and town hall meetings
• Should have Experience in EWS, RAG analysis, Skip level meetings, 360/90 degree programme, Managing attrition etc.
• Planning and executing festival celebration in the company for the employee engagement
• Planning and executing varied activities for employee motivation programmes
• Measure employee satisfaction and identify areas that require improvement
• Ensuring constant engagement initiatives are implemented
• To handle operational activities like filing and service logs
• Driving Performance Management Process like ADH assessment, TRP etc.
• Partnering with the shared services, operations and other stakeholders to handle day to day activities. E.g. Leaves, Transfer-Relocation, Benefits, etc.

Roles and Responsibilities-

• Employee Engagement - Ensure smooth end-to-end implementation of the assigned processes. This should cover the following activities: 
• Ensure release of engagement Calendar 
• Review and Track Status of open Actionable
• Prepare Dashboards for various employee connect initiatives
• Alert stakeholders on delays / issues
• Employee Grievance handling & providing first hand resolution to the employees
• Manage queries, issues, escalations, if any 
• Any other process/ task allocated as required
• Participate in Knowledge Sessions within or outside the Team
• Participation in events organized by company
• MIS based reports like HR SLA, Attrition, Adhoc reports etc.
• Processing resignations, Conducting Exit Interviews to ensure smooth closure of full & final settlement.

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Job Title: Pre-Sales Executive – Demo AI Auditor

Location: Bengaluru, India

Experience: Minimum 2+ Years

Employment Type: Full-time

Company Overview

IAI Solution operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We’re looking for a Pre-Sales Executive (2+ years of experience) who knows how to make an impression and close the loop fast. You’ll be the face of our AI Auditor platform, running high-impact demos that don’t just showcase features — they win deals.

We want someone with a proven knack for turning conversations into conversions — 70%+ on outbound demos and 90%+ on inbound. You’re not just giving presentations; you’re reading the room, adapting on the fly, and showing prospects exactly how our AI Auditor solves their pain points.

This isn’t a sit-back-and-wait role. You’ll be chasing leads, handling objections, building trust, and making sure every opportunity turns into a success story. You’re scrappy, resourceful, and never afraid to figure it out as you go.

Key Responsibilities

• Deliver tailored, high-energy product demos that resonate with client challenges.
• Own the pre-sales cycle end-to-end: qualifying leads, showcasing the product, and setting up the close.
• Achieve and maintain 70%+ outbound demo conversion and 90%+ inbound demo conversion.
• Collaborate with cross functional teams to identify customer requirements and pain points.
• Capture insights from every interaction to help shape future product and sales strategies.
• Build strong relationships with prospects — turning interest into commitment.
• Prepare customized decks, proposals, and recommendations that hit the mark.

Qualifications

• 2+ years of pre-sales or business development experience in SaaS, AI, or enterprise solutions.
• A track record that proves you can consistently hit or beat conversion targets.
• Killer presentation and storytelling skills — you make complex tech sound like common sense.
• Comfort working with CRMs (HubSpot, Salesforce, or similar).
• Self-starter attitude: you don’t wait for all the answers, you find them.
• Resilient and adaptable — feedback makes you sharper, not slower.

Must-Have Skills

• Pre-sales experience in SaaS, AI, or enterprise software.
• Ability to keep conversion rates high (70%+ outbound, 90%+ inbound).
• Strong communication and consultative selling.
• Demo delivery that hooks and convinces.
• Stakeholder management across decision-makers.

Good-to-Have Skills

• Experience with AI/ML, auditing, or compliance-focused solutions.
• Exposure to global markets.
• Knowledge of SaaS pricing, competition, and GTM strategies.

Perks & Benefits

• Competitive pay with performance-based bonuses.
• Chance to work at the frontline of AI adoption in enterprises.
• Flexible, fast-paced environment where hustle pays off.
• Real ownership and visibility — your demos will drive real growth.

We are looking for someone with a hacker mindset who is ready to pick up new problems and build full stack AI solutions for some of the biggest brands in the country and the world.

• 15+ years of Experience in OFSAA Financial Solution Data Foundation and OFSAA Regulatory reporting solutions
• Expert in enterprise solution architecture and design
• Strong understanding in the OFSAA Data Model, Dimension Management and Enterprise Data Warehouse Knowledge.
• Strong Understanding of OFSAA instrument balances reconciliation with General Ledger Summary Level balances
• Experience in defining and build the OFSAA data architecture and sourcing strategy to ensure data accuracy, integrity and quality.
• Understanding of Banking treasury products, US Fed regulatory etc.
• Strong understanding of data lineage. building
• Strong in OFSAA Data Management Tools Knowledge (F2T/T2T/PLT/SCD’s).
• Experience in Business rules configurations in OFSAA framework
• Strong Experience in deploying OFSAA platform (OFSAAI – OFSAA Infrastructure) and installation of OFSAA application - preferably OFSAA 8.x onwards.

This role requires a self-motivated leader with direct Product Management experience delivering Solutions around MS Teams Telephony. Candidate must have a keen sense of the overall UCC market, competitive awareness of the India Unified Communications and Collaboration solutions market and provide critical strategic direction related to India Domestic and Global UC objectives.

The Candidate will be responsible for the India UCaaS/MCS objectives and targets. Also, responsible for Product Life cycle management that involves Envisage, Concept, Framework, Partnerships, Process, Engineering validation, Documentation, GTM etc.

the other responsibility involves Pricing, Bundling, Enablement through Trainings, Adoption and Growth strategy that plugs into our entire UCaaS/MCS portfolio. Critical to success will be identifying Enterprise and Partner offers, migrating customers to the next generation UCC platform with Regulatory compliance, differentiated solution capabilities ensuring that lifecycle management and improving adoption services.

The Product Manager will champion and execute across cross-functional teams and drive solution enablement discussions with Sales, Solutions, Engineering, Service Assurance, Operations, Technology & Service Development teams. The successful candidate will be setting objectives and delivering results that have a significant impact on product adoption.

The Product Manager will champion projects through the Tata Communications New Product Introduction/Agile Development process and lead the UCaaS/MCS Workstream that is accountable for the delivery and customer acceptance of the solutions.

The Global Product Manager will be fully responsible for the Annual Operating Plan (AOP), P&L and CAPEX/OPEX of all UCaaS/MCS business initiatives and programs. Key focus will be on Gross and Net Revenue contribution and growth targets that are assigned to the UCaaS/MCS portfolio.