BI Consultant

Job Title : AI/ML Engineer – DevOps & Cloud Automation

Experience : 3+ Years

Location : Gurgaon (WFO)

Job Summary :

We’re looking for a talented AI/ML Engineer to help build an AI-driven DevOps automation platform. The ideal candidate has hands-on experience in ML, NLP, and cloud automation.

Key Responsibilities :

• Develop AI/ML models for predictive analytics, anomaly detection, and automation
• Build NLP bots, observability tools, and real-time monitoring systems
• Analyze system logs/metrics and automate workflows
• Integrate AI with DevOps pipelines, cloud-native apps, and APIs
• Research & apply deep learning, generative AI, reinforcement learning.

Requirements :

• 3+ years in AI/ML, ideally in DevOps/cloud/security environments.
• Strong in Python, TensorFlow/PyTorch, NLP, and LLMs.
• Experience with AWS/GCP/Azure, Kubernetes, MLOps, and CI/CD.
• Knowledge of cybersecurity, big data, and real-time systems.
• Bonus : AIOps, RAG, blockchain AI, federated learning.

Need CA candidates only***.

***Notice period should be less than 30 days***

Preferred candidates from Bangalore location only as it is In-person interview.

***Need candidates from Manufacturing industries only***

Candidate should be good in communication to deal with the external auditors

Candidate should be able to handle internal & external auditors.

***Candidate should have rich experience in Corporate Finance & Accounting***

***Candidate should have handled certifications required under direct and indirect tax laws, companies act, DGFT***

Do not share BIG4 firms candidates as they are not eligible

Only 1 in-person Technical CFO round and candidate willl be selected.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

About the Company:-

Our Client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job description:-

• General Insurance Domain Knowledge

• Increase reach and market share by adding new clients in the desired segment to the Organization’s Portfolio

• Achieve financial targets articulated in the strategic plans of the Organization in terms of the brokerage earned through

✓ Conversion of new clients

✓ Retention of existing clients

✓ Support of specialist vertical budgets

• Create potential databases from insurers and other sources

• Insurance Data Management

• GAP Analysis / Tender Bidding

• Client Management & Visits on a periodical basis

• Market Research on Large Accounts and Strategy Planning

• Updating self on Product Knowledge to ensure the right offerings to the Client

Location:- Mumbai

Qualification:-

• Graduation / MBA / Post-Graduation

• Insurance-related qualifications would be added advantage

Prior Experience: 6 - 10 years of experience in Corporate Sales

Technical Skills:

• Ability to handle diverse types of Clients / Large Corporates within India

• Location: Vatva GIDC
• Experience : 1yr to 2yr (Only Male)
• Education: B.com or M.com

 don’t need any profiles with Support experience. I need very clearly SAP CO consultants with end – end Implementation experience having Product Costing knowledge

Resource should have 8 to 12 years of hands on experience in Asset Accounting, Profit Center and Cost Center Accounting, Auditing  BRS, Group Reporting, Current and Non-Current Reporting. 

Should have Implementation and configuration skills on SAP Controlling in SAP S/4HANA and not support. 

The candidate should be able to manage and configure product costing and should possess CO integration skills with various modules like PP, PS, PM, MM and FI. 

Implementation Experience of three end to End Experience. Good Client Handling and Communication Skills. 

This is Work from client office position and the candidate should mandatorily work out of client location at Noida.

This position is for candidates with immediate joining

MODE OF INTERVIEW - FACE TO FACE

MODE - WORK FROM OFFICE

LOCATION - BANGALORE

JOB DESCRIPTION -

At least 5+ years’ experience working in the IT industry

• 4+ years of experience developing custom applications on the Salesforce development environment including Force.com IDE, Migration Tools, SOSL, SOQL and Web Services
• Solid understanding of Salesforce, such as configuration, workflows, triggers, managing custom objects, fields, formulas, Force.com IDE, Migration Tools, SOSL, SOQL, Web Services, Lighting Enablement, Aura framework and Lightning web components.
• Ability to work in a fast-paced setting and prioritize among competing tasks and assignments
• Must be a self-starter, with the ability to work independently without constant supervision and micromanagement
• Must be able to work flexible hours to collaborate with remote IT and business team members • Excellent analytical, organizational and problem-solving skills • Excellent written and oral communication skills • Strong customer service mentality

Job Type: Full-time