PEGA Developer

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

• 2+ years of hands-on experience in Java development.
• Strong knowledge of Boto3/Boto AWS libraries (Python).
• Solid experience with AWS services: EC2, ELB/ALB, CloudWatch.
• Familiarity with SRE practices and maintenance processes.
• Strong experience in debugging, troubleshooting, and unit testing.
• Proficiency with Git and CI/CD tools.
• Understanding of distributed systems and cloud-native architecture.

Key Responsibilities:

1. Customer Outreach & Relationship Management:

• Make outbound calls to potential and existing clients to inform them about the company's services, products, and offers.
• Assist customers with inquiries related to trading, investment products, depository services, etc.
• Provide timely updates and information to clients about the stock market and their portfolio.
• Follow up with leads and ensure customer satisfaction, encouraging long-term client relationships.

1. Product Information and Advisory:

• Explain different financial products, including equity, commodities, mutual funds, and more.
• Help customers understand stock market trends, investment strategies, and opportunities to increase their portfolio value.

1. Lead Generation:

• Generate quality leads by identifying potential clients and following up with them to convert into active traders and investors.
• Maintain an accurate database of clients and prospects.

1. Sales Support:

• Assist in the execution of sales campaigns, including promotions and offers.
• Track client interactions, sales activities, and report progress regularly.

1. Problem Resolution:

• Address customer concerns, complaints, or issues related to trading accounts, transactions, or market activities.
• Ensure timely resolution to enhance customer satisfaction and trust.

1. Compliance and Reporting:

• Adhere to company policies, regulatory guidelines, and compliance procedures while making calls and handling client accounts.
• Maintain detailed records of interactions and sales activities.

Requirements:

• Educational Qualification: Graduate (preferably in Finance, Commerce, or related field).
• Experience: 1-2 years in a telecalling or customer support role, preferably within the financial services industry (stock broking, mutual funds, etc.).

Organization Name: Agami Realty

Position Name:  Tele Caller

Job Location: Boisar

Experience: 0 to 1 year

No of openings: 4

Nature of job: Permanent

Monthly Salary: Rs8,000 to Rs10,000 

Female Candidates from Palghar, Boisar, Vangaon and Dahanu preferred

Job responsibilities include but not limited to:

Providing details about ongoing and upcoming real estate development projects

Explaining about the importance of owning a house & benefits of Real Estate Investments

Replying to the queries of the potential customers

Persuade prospects for a site visit

Convince customers to book the apartment and collect the token amount

Skills required

Good knowledge of Word, Excel, and PowerPoint

Excellent communication skills

Convincing ability

Qualifications: Graduation

About RARA NOW :

• RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.

• RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.

• We are a distributed team with the company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.

Future of eCommerce Logistics :

• Data driven logistics company that is bringing in same-day delivery revolution in Indonesia

• Revolutionizing delivery as an experience

• Empowering D2C Sellers with logistics as the core technology

About the Role :

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Prior experience on working on Big Query, Redshift or other data warehouses

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

Responsibilities : 

- Developer responsibilities include, but are not limited to the following:

- Experience as a Sun Certified Java Developer with proven hands-on Software Development experience. We use Java 8

- 4-10 years java development experience with JSE/JEE, Java-based Micro-services framework, and implementation, Spring framework, Hibernate framework, SQL, etc

- Hands-on experience on Spring boot & SPARK Microservices and OSGi specifications

- Strong knowledge of micro-service logging, monitoring, debugging, and testing

- Implementations experience of micro-service integration, packaging, building automation, and deployment

- At least two years experience in SOA & Microservices based process applications using BPM (Activiti/JBPM/Camunda)

- Object-Oriented Analysis and design using common design patterns.

- Insight of Java and JEE internals (Classloading, Memory Management, Transaction management, etc)

- Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate)

- Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC, Spring Boot)

Qualifications: BS/MS degree in Computer Science, Engineering or a related subject and a minimum of 8 years of professional work experience in a mid-d or large corporate Information Technology environment. Highly organized and detail-oriented, with the ability to keep multiple projects and client engagements active at once. Comfort with ambiguity and ability to navigate uncertainty.

1. Cold Calling to prospective leads & convert them into clients
2. Business Development ideation & execution
3. Freeze the Client Deal
4. Populate & furnish the required documentation – Client Contract. Creative Forms, Project Details & Invoicing Details
5. Follow-up & Closure on generated leads across multiple mediums
6. Arrange client Meetings
7. Pitching , Negotiating & Closure with Clients
8. Client Servicing
9. Client Relationship Management
10. Generating Sales Report
11. Payment track – Ensuring the payment compliance as per the CC Timeline
12. Coordinating with accounts team for payment
13. Pre Event-On Event-Post Event coordination with client for an end to end experience
14. Constantly searching for new ideas & concepts
15. Competitive analysis with regards to the market happenings
16. Market research about the new trends & innovations