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Role: Senior Communication Designer 

Experience: 5 - 7 years 

Location: Hyderabad 

Technovert is not a typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry. 

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice. 

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that delivers 

Responsibilities: 

• Designing graphic content, illustrations, and infographics. 
• Managing graphic designs from conception to delivery. 
• Ensuring brand consistency throughout various marketing projects. 
• Liaising between the marketing and design teams to ensure deadlines are met. 
• Keeping up-to-date with industry developments. 

Duties and Responsibilities: 

• Reviewing junior designer drafts to ensure quality. 
• Generating fresh concepts. 
• Ensuring adherence to the brand guidelines and maintaining consistency throughout all designs from the team. 
• Reviewing each and every design for all the practices. 

Must have: 

• A graphic design qualification or similar 
• Portfolio with design projects 
• Proven work experience as a graphic designer 
• Working experience with image design tools (e.g. Photoshop and Adobe Illustrator) 
• A keen eye for visual details 
• Aesthetic skills 
• Ability to meet deadlines and collaborate with team members 
• Communication skills to explain all the concepts 

Nice to have: 

• Experienced in leading a team 
• Closely worked with the marketing team to devise strategies 
• Understanding of digital marketing campaigns 
• Comfortable with MS Office Suite 

Qualification: 

• A graphic design qualification or similar 

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

About the job

Job Description

Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention. 

Developing and maintaining strong relationships with SME clients, understanding their business needs, and providing personalized service. 

Identifying and pursuing new business opportunities within the SME sector to grow the insurance company & client base and revenue. 

Ensuring smooth and efficient service delivery to SME clients, addressing their queries and concerns promptly.

Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention.

Selling insurance products and services to SMEs, as well as cross-selling other relevant financial products offered by the company 

Working with internal teams and customer service, to facilitate seamless service

delivery to SME clients. 

Skills And Qualifications

 Excellent communication, interpersonal, and negotiation skills.

 Proven track record of achieving sales targets and identifying new business opportunities.

 Understanding of various insurance products and policies relevant to SMEs.

 Providing customer service and building long-term relationships.

 Well Experienced & Familiarity with the unique needs and challenges of SME businesses.

 Bachelor’s Degree.

• Hands-on experience in Python
• Proficient experience in the automation tool i.e Selenium.Experience in writing Selenium-based automation frameworks and scripts
• Strong understanding of QA processes (test case planning, feature ownership, automation reporting, and triage, bug reporting, regression & isolation)
• Experience in maintaining REST API based automation frameworks and scripts
• Experience with Selenium Webdriver, test framework development, and web application testing
• Proficiency in API Testing in the following programming languages: Java

• 3-4 years of Lighting experience.
• 2 years in Visualforce.
• Must have ability to integrate with third party applications using REST/SOAP.
• Must have technical design skills.
• Must be able to collaborate with business to gather requirements.
• Good to have Apex design patterns.
• Must have PD-1 certifications, any other certification is added advantage.
• Must have product knowledge on Sales, Service, Experience cloud knowledge.

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

Role: Direct Sales Executive

Location: Hyderabad

Type of job: Full-Time

Responsibilities 

• Presenting the products and services to the customers. 
• Identifying potential customers via cold calling. 
• Working in collaboration with the team members. 
• Meeting the monthly sales goals and expectations. 
• Taking feedback from the customers and working on them. 
• Writing sales contracts as per the company’s requirements. 
• Making sure the customers are well informed about the sales proposal. 
• Tracking and analyzing the sales performance metrics. 
• Understanding the current market potentials. 
• Resolving customer complaints and issues if any before making the sale. 
• Building a positive relationship with the customers. 
• Making sure to provide excellent customer service and customer satisfaction. 
• Preparing monthly sales reports and presenting them to the higher management. 
• Staying up-to-date on the latest technologies and developments in the industry.

Requirements:

• A proven track of sales record will be advantageous. 
• Good networking and people skills are required. 
• Excellent oral and written communication skills. 
• Excellent Convincing skills.

Across Asia, and Africa with our headquarters in India, branches in Singapore, and Johannesburg.

Perks:

• Incentives based on sales
• Travel Allowance.

WHO ARE WE?

• We are extremely delighted to introduce our successful Enterprise. We Qurinom Solutions, offer you the best assistance for your business in information technology. Our multifaceted team of highly qualified and experienced people from diverse professional fields assures you of superior quality of Products & services in almost every domain. Precision and punctuality towards services are our forte. We are obliged to serve our customers & clients in a versatile manner.

WHAT We do

• We build large-scale applications over mobility over AI, Image processing, ML, and NLP and also serve hedge clients across Asia, Africa helping our clients with cutting-edge services like Digital transformation, IT Consulting, UX/UI Modernization, VR/AR, Cloud migration, Embedded Systems, IoT & Blockchain.

WHY Join US?

• Creating an Employee friendly environment is our assurance.
• Your growth and development, excelling in your career is our responsibility.
• Will be a great Team Player working closely with the stakeholders in the company.

1. Preparation of Drawings, Estimates, Calculations, etc for covered and not covered items (MEP) for running properties.
2. Prepare technical documentation for structural and MEP works.
3. Preparing Queries/ Clarifications getting cleared from a consultant.
4. Preparing the bill of Quantities (BOQ) as per the drawing.
5. Comparison of BOQ with Technical specifications.
6. Mechanical, Electrical, and Plumbing engineering execution works
7. MEP Engineer has to identify problems in the execution, planning, managing, and delivering of multiple projects.

Required Candidate profile

1. Preparation of detailed specifications for selected items.
2. Preparation of RA Bills & certification.
3. Reconciliation of materials and certification of RA bills of contractors to the management for every month

• 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.

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Social Media Expert

Description:

Are you intimately familiar with the LinkedIn algorithm? Do you specialize in growing brand following on Twitter? Are you proficient in defining and executing social media strategies for Quora, Reddit, Instagram, and Facebook?  We’re looking for an expert with a solid understanding of how each social media channel works and how to optimize content so that it is engaging. As the B2B Digital Marketing Specialist, you will also be responsible for organizing and producing content that follows our clients’ brand guidelines.

Competencies:

• Consistent and self-driven to learn about social media platforms and trends. 
• Strong creative storytelling skills with a focus on visual and content aesthetics.

Skills:

• Working knowledge of SMM tools like Hootsuite, Moz, Loomly, etc.
• Working knowledge of design applications like Adobe Suite, Canva, etc., and other video editing tools.
• Adept at digital tools like Facebook Insights, Twitter Analytics, Google Analytics/Google Ad Manager.
• Adept at communicating in a professional, but unique social media “voice” for each client; directly aligned with the clients’ thought leadership and content platform.

Experience:

• Demonstrable B2B social networking experience and social analytics tools.
• Experience in managing multiple digital marketing campaigns with the ability to analyze and make recommendations on performance.
• Strong understanding of social media KPIs, keyword optimization tools, and social media algorithms.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in the B2B domain. Please share only case studies of growth where the strategy and execution were owned end-to-end by you. Shortlisting will be followed by a video interview.

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases