
Client :Mphasis
Years of experience needed –
• Overall, 5-7 years in experience in IT Application/Software Development field.
• Good and hands-on knowledge of Agile adoption (concept of delivering MVP) is mandatory
Technical Skills:
• Solid knowledge in automation testing.
• Good experience in C#
• Experience in testing web services, REST APIs.
• Experience in Selenium using C#
• Lambda Test for cross-browser and cross-device testing
• Exposure to create Automation framework like Modular, BDD etc.
• Knowledge in testing web services is desirable.
• Good understanding of GIT and it’s process like

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We Are Hiring: Work From Home Opportunity for Women in Sales
Experience: Minimum 3 Years in Sales
Working Hours: 11:30 AM 6:30 PM (Only 7 Hours)
Preference - Women residing in Surat, Kochi and Central Mumbai location will be available
About the Role
We are looking for a result-driven Business Development Officer who can identify new business opportunities, build strong client relationships, and contribute to revenue growth with confidence and strategy.
If you enjoy achieving targets, negotiating, and closing deals this role is for you!
Apply Now: https://www.kdksoftware.com/careers.php#applyJob
What Youll Get
- Competitive Salary + Attractive Incentives
- Conveyance Reimbursements
- Less working hours with high earning potential
What Were Looking For
- Minimum 3 years of experience in Sales
- Strong communication and negotiation skills
- Target-oriented mindset with a proactive approach
Key Responsibilities
- Build and maintain strong relationships with prospective and existing clients via calls, emails, and office visits
- Achieve monthly sales targets and contribute to overall revenue growth
Ambition at Work. Presence at Home.
If you are ready to take the next step in your sales career while maintaining work-life balance, we would love to hear from you.
Apply Now: https://www.kdksoftware.com/careers.php#applyJob
Warm regards,
HR Team
closely with the Kinara management team to investigate strategically important business
questions.
Lead a team through the entire analytical and machine learning model life cycle:
Define the problem statement
Build and clean datasets
Exploratory data analysis
Feature engineering
Apply ML algorithms and assess the performance
Code for deployment
Code testing and troubleshooting
Communicate Analysis to Stakeholders
Manage Data Analysts and Data Scientists
Key Responsibilities • Inbound conversion: respond quickly to leads from WhatsApp, calls, website, social and other channels. • Outbound sales: follow up with new, warm, old and dormant leads to convert them into paid bookings. • Service selling: explain grooming, grooming subscription, training, boarding, sitting and other PawSpace services. • Revenue ownership: work towards daily and monthly revenue targets with consistent calling and closure discipline. • Subscription pitching: promote grooming subscription and repeat service packages to increase customer lifetime value. • Objection handling: handle concerns around price, quality, availability, trainer/groomer experience and service process. • Booking closure: coordinate payment collection, booking confirmation and handoff to operations. • CRM/reporting: update lead status, call notes, follow-up dates, revenue and daily sales reports.
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
Key aspects of this role:
• Maintain, update, and enhance ITSM environment including Incident, Request, Problem, Change and Knowledge Management, Service Catalog, Service Portals, SLAs, Discovery, and Integrations
• Participate in the implementation and configuration of other ServiceNow products outside of ITSM to increase the adoption of the ServiceNow platform.
• Responsible for performing daily administration, issue resolution, and troubleshooting of the ServiceNow platform. Monitor health, usage, and overall compliance of ServiceNow and its applications.
To be the right fit, you will need:
• Minimum of 2 years of demonstrated experience in ServiceNow development and configuration.
• Proficient in developing, integrating and maintaining applications using ServiceNow Platform technology and tools.
• Understanding of and experience working with IT Service Management processes (Incident, Problem, Change, Release, SLM, Service Catalog), PPM/ITBM
• Understanding of IT and business requirements with ability to develop, test, deploy improvements, and update Manage and administer lists, filters, forms, platform interfaces (to other data sources) and the data within tables, import sets and the CMDB.
• Preferably certified in ServiceNow
• Strategic Recruitment Planning
• HR Policy Making/ HR Handbook design
• Strategic planning for organizational growth
• Background Verification
• On-Boarding Process
• Documents verification
• Employee engagement activities etc.
- Training and Development
About the Company
Blue Sky Analytics is a Climate Tech startup building an API based catalogue of Environmental Datasets by leveraging Satellite data, AI, and cloud. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental datasets spanning water, land, heat, and more!
We are looking for a Sales Associate to be a part of the growing Sales and BD team and be a point of contact for self-sign-up users. Further, assist with non-consultative sales projects. Come save the planet with us!
Your Role
- Build extensive knowledge of our Developers Portal, datasets and APIs.
- Point of contact for our client's technical and logistical issues.
- Assist with off-the-shelf sales of our ready products.
- Maintain records of payments by users.
- Point of contact for self-onboarded users and their queries.
- Explore different softwares & tools that will aid customer experience.
- Collect meaningful feedback from clients and relay suggestions to the teams.
- Maintain and facilitate good relationships with clients.
- Collect meaningful feedback from clients and relay suggestions to the teams.
- Report to BD Lead and assist with sales funnel.
Requirements
- Good communication skills and by that, we also mean being an excellent listener is paramount.
- Technical background (Engineering, Data Science, Math, Physics, Computer Science) preferred.
- Organized and detail-oriented. Can keep track of multiple conversations and take each to a logical conclusion.
- Ability to simplify technical jargon for clients and effectively communicate the issue to the platform team.
- Aptitude for prioritizing tasks.
- Excellent problem-solving skills.
- Able to filter out which issue goes to which team.
- Ability to understand where the customer is coming from and be committed to client satisfaction.
- 1-2 Years Experience with B2B customer care preferred, but not required.
- Experience as a sales representative in Saas, DaaS.
- Experience with Hubspot and CRMs.
- Ability to pick up new tools. (Notion, Front etc)
- Experience in working with APIs and in data companies preferred.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
This is an opportunity to be part of an exciting, new-age startup working on an AI platform to gather consumer insights. You’d be part of the business team, driving demand generation using content marketing, published on all digital properties.
Experience matters. The ‘must-haves’ are.
- A minimum of 3 years of experience in running content marketing programs, especially for SaaS, martech, technology brands
- Experience in running a complete marketing program – organizing webinars, scouting for event opportunities, etc.
- Experience in writing across genres – social, newsletters, blogs etc.
- Experience for writing for the Western audience (native English speaking geographies such as USA and the UK)
The specific skills sought are as follows.
- Ability to articulate technology in a way that a non-techie could understand.
- Ability to write in both informal and formal tones – use of colloquial English for informal and assuming a formal tone when authoring a thought leadership article, case studies, and whitepapers.
- Ability to improvise – use the same content to spin out content for social media publishing.
- Ability to think through topics that might be of interest to our very professionally accomplished TG – quite different than what you’d write for a consumer-facing brand.
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