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We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Core Technical Skills

• Strong in Core Java, Java 8, OOPs
• Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA
• Experience in Microservices Architecture & REST API development
• Good knowledge of SQL databases (MySQL / SQL Server / PostgreSQL)
• Experience with AWS services (Lambda, S3, DynamoDB, EC2)
• Familiarity with Kafka / Event-driven architecture (good to have)
• Knowledge of Spring Security, JWT, OAuth 2.0
• Experience with Docker, Jenkins, Git



🔧 Development Responsibilities

• Design and develop scalable REST APIs and microservices
• Work on backend systems handling large data and real-time processing
• Optimize database queries, performance, and indexing
• Collaborate with cross-functional teams for end-to-end delivery

🛠️ Support (L2) Responsibilities

• Handle production issues, bug fixing, and root cause analysis
• Provide post-deployment and migration support
• Troubleshoot performance issues, DB deadlocks, and API failures
• Work on incident resolution and system stability improvements
• Coordinate with L1/support teams (if applicable)

About the Role

We're seeking a skilled Java Developer with strong AWS cloud experience to join our

solution architecture team. You'll be building scalable backend systems, integrating diverse

enterprise platforms, and developing cloud-native solutions for clients across government,

agriculture, and manufacturing sectors.

Key Responsibilities

Application Development

• Design and develop robust Java-based backend services and APIs for enterprise

applications

• Build microservices architectures for cloud-native deployments on AWS

• Implement RESTful APIs and SOAP web services for enterprise integration

• Develop serverless applications using AWS Lambda and event-driven architectures

• Create data processing pipelines using AWS services

AWS Cloud Development

• Deploy and manage applications on AWS infrastructure (EC2, ECS, EKS)

• Implement serverless solutions using Lambda, API Gateway, and Step Functions

• Design and implement storage solutions using S3, EBS, and EFS

• Work with AWS databases (RDS, Aurora, DynamoDB)

• Implement messaging and queuing using SQS, SNS, and EventBridge

• Configure and manage application monitoring using CloudWatch

System Integration

• Design and implement integration solutions connecting disparate enterprise systems

• Build adapters and connectors for third-party APIs, legacy systems, and SaaS

platforms

• Implement enterprise integration patterns (message routing, transformation,

orchestration)

• Develop middleware solutions using AWS integration services

• Handle data synchronization, format transformations (XML, JSON, CSV), and

protocol conversions

Database & Performance

• Design and optimize database schemas for AWS RDS (PostgreSQL, MySQL) and

Aurora

• Write efficient SQL queries, stored procedures, and optimize database performance

• Implement caching strategies using AWS ElastiCache (Redis/Memcached)

• Configure database connection pooling and manage high-availability setups

• Troubleshoot database bottlenecks and resolve concurrency issues

Security & DevOps

• Implement AWS security best practices (IAM, Security Groups, KMS)

• Build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy

• Configure application auto-scaling and load balancing

Quality & Best Practices

• Write clean, maintainable code following SOLID principles and design patterns

• Implement comprehensive unit and integration testing

• Participate in code reviews and technical design discussions

• Document technical specifications, API contracts, and AWS architecture diagrams

Required Skills & Experience

Core Java Expertise

• 3-5 years of hands-on Java development experience (Java 11+ preferred)

• Strong understanding of OOP concepts, data structures, and algorithms

• Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA)

• Proficiency in building RESTful and SOAP web services

AWS Cloud Experience (Must Have)

• 2+ years of hands-on AWS experience with production deployments

• Strong knowledge of core AWS services: EC2, S3, RDS, Lambda, API Gateway

• Experience with AWS networking: VPC, subnets, security groups, load balancers

• Understanding of AWS IAM, security best practices, and compliance

• Experience with AWS monitoring and logging (CloudWatch, X-Ray)

• Knowledge of AWS messaging services (SQS, SNS, EventBridge)

• Familiarity with AWS database services (RDS, Aurora, DynamoDB)

Integration Experience

• Experience with enterprise integration patterns and middleware solutions

• Knowledge of API design, development, and management

• Understanding of authentication/authorization mechanisms (OAuth2, JWT, SAML)

• Experience with data transformation and mapping frameworks

• Familiarity with integration protocols (HTTP/S, FTP/SFTP, SMTP, JMS)

Database Skills

• Strong SQL skills with relational databases (PostgreSQL, MySQL preferred)

• Experience with JPA/Hibernate ORM frameworks

• Understanding of database connection pooling and transaction management

• Knowledge of database migrations and versioning tools (Flyway/Liquibase)

Technical Stack

• Build tools: Maven or Gradle

• Version control: Git

• API documentation: Swagger/OpenAPI

• Testing frameworks: JUnit, Mockito, TestNG

• Containerization: Docker (experience with ECS/EKS is a plus)

Must have

• Proven usage of Agentic AI Tools in SDLC

Bonus Skills

• AWS Certifications (Developer)

• Experience with message brokers (Kafka, RabbitMQ, ActiveMQ, Amazon MSK)

• Kubernetes and container orchestration (EKS)

• AWS serverless application development (SAM, Serverless Framework)

• Experience with Apache Camel, MuleSoft, or other integration platforms

• CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline)

• Knowledge React/Angular technologies for full-stack collaboration

• Experience with ERP/CRM systems integration

Desired Attributes

• Strong problem-solving and analytical thinking abilities

• Ability to design cloud-native architectures following AWS Well-Architected

Framework

• Good communication skills for interacting with clients and cross-functional teams

• Self-motivated with ability to work independently and in team environments

• Attention to detail and commitment to delivering quality solutions

• Cost-conscious approach to AWS resource utilization

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or

related field

• Equivalent practical experience will be considered

• AWS certifications are highly valued

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

The Installation Technician is responsible for on-site installation, assembly, and fitting of company products (such as wardrobes, kitchens, furniture, fixtures, or equipment) as per design specifications and quality standards. The role ensures timely completion of installations while maintaining safety and customer satisfaction.

Key Responsibilities:

· Carry out installation, assembly, and fitting of products (wardrobes, kitchens, sliding doors, fixtures, etc.) at customer sites.

· Read and interpret layout drawings, installation plans, and design specifications.

· Ensure all installations are completed as per company standards, within the given timelines.

· Conduct pre-installation checks, including site measurements and readiness verification.

· Handle tools, materials, and equipment responsibly and ensure proper maintenance.

· Coordinate with the project manager, designer, and client for smooth execution.

· Perform finishing work such as adjustments, alignment, and final inspection.

· Report any site issues, damages, or delays immediately to the supervisor.

· Follow all safety protocols and ensure a clean and organized work area.

· Provide on-site service support and rectify installation-related issues if required.

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

Mandatory skills:

• Proficient with Objective-C and Swift depending on project requirements and Cocoa Touch
• Experience with iOS frameworks such as Core Data, Core Animation, etc.
• Familiarity with RESTful APIs to connect iOS applications to back-end services

Secondary Skills:

• Experience with offline storage, threading, and performance tuning
• Knowledge of other web technologies and UI/UX standards
• Understanding of Apple's design principles and interface guidelines
• Experience with Version Control System
• Experience with Bug Tracking

Added advantage if the candidate possess below skills.

• Knowledge of low-level C-based libraries is preferred
• Experience with performance and memory tuning with tools such as Instruments and Shark, depending on project needs Familiarity with cloud message APIs and push notifications
• Bluetooth communication, BLE
• Performance and Security related Concepts

• Propose efficient technical solutions and programming design
• Write technical specifications (COBOL/400)
• Do development and unit testing in COBOL/400

• CANDIDATE MUST HAVE REAL ESTATE AND RELEVANT EXPERIENCE 
• IMMEDIATE JOINERS
• INTERVIEW WITHIN 2 DAYS
• COMPANY NAME - SQUAREYARDS.COM (SQUAREYARDS CONSULTING PVT. LTD.)

Job Title: Area Manager

Experience - 5 to 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 30

Job Title: Regional Manager

Experience - Above 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 35

Organization Summary

Business development department is a combination of strategic analysis, marketing and sales. The department play vital role in the organization in bringing new customers by which expand financial growth to the organization.

Key Performance Area

* Generation Sales

* New Business Development / Conversation

* Service Delivery

* Customer Relationship (Customer Satisfaction and Feedback)

* Exploring company brand value in the market

Responsibilities & duties

* Responsible for generating sales with existing customers and developing opportunities with new customers within assigned territory

* Schedule and conduct weekly sales meetings and achieving targets

* Liaising between customers and the company for up-to-date status of service, pricing and new product release launches.

* Report on sales activities to senior management

* Reaching the targets and goals set for your area

* Establishing, maintaining and expanding your customer base

* Increasing business opportunities through various routes to market

* Compiling and analyzing sales figures

* Collecting customer feedback and market research

* Keeping up to date with products and competitors

Required Candidate profile

* Impeccable profile with high professionalism.

* Good experience in Sales

* Good communication, presentation and negotiation skills.

* Excellence in sales and marketing with positive attitude and team playing ability.

* A flair for establishing an instant rapport with clients.

* Dynamic, aggressive and result oriented.

*To enjoy networking and meeting new people.

Company Profile: www.squareyards.com

Please share your updated resume with below details:

Qualification -

Total Experience -

Relevant Experience -

Present Location -

Last CTC -

Expected CTC -

Communitate fast and easily :  8 nine 7 one 9 six 8 one 9 one

Quick Resume share :  sarita dot kumari at squareyards dot co dot in

Note :- Preferable and consider only Chennai based candidates.

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Currently we have “Business Development Executive (BDE) – Recruitment” position with us for Hyderabad location.

Position : Business Development Executive – Recruitments

Experience : 2 – 4 Yrs

Location : Hyderabad

Notice Period : 0 - 10 Days (MUST)

Required Skills :

• Should have 2 - 4 yrs. of experience in Business Development into Domestic Recruitment process.

• Extensive experience in bringing new clients/business for the company by selling Company Services.

• Proven ability in Business development activities like - Cold Calling, Lead Generation (from Indian Market), clients follow ups, revenue generation, coordination, meeting with clients & regular client interactions.

• Should possess strong customer service skills.

• Must be able to create good presentations

• Must have excellent communication, Email, Negotiation & interpersonal skills.

• Should be willing to travel outside, if required.

• Should be willing to work from home, till the end of covid19 crisis & ready to travel client location, if required.

• Should be a Graduate or Post Graduate with good Oral & Written Communication skills.

NOTE : Please refer your friends/colleagues who are looking for change.