QA Tester- Vulnerability and Security Testing

The role

A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.

How you will work

You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.

What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.

What we are looking for

Must have

• 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
• Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
• Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
• The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
• Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
• An eye for where a deployment turns into more business, and the willingness to raise it yourself
• Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
• Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
• The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

The Role

You own AI systems end to end. From the speech-to-text models that turn audio into text, to the diarization that separates and identifies speakers, to the agentic layer that turns conversation into memory and action, to the observability and evaluation that keep all of it honest in production. This is a wide role by design. You will own model selection, serving, and production reliability. If you want to tune one model and ignore the system around it, this is not the role.

What You Will Own

•     Speech-to-text. Evaluate, integrate, and optimize STT models across cloud and self-hosted. Drive accuracy and cost trade-offs with ground-truth metrics.

•     Speaker diarization and identification. Push accuracy on hard, real-world, multi-speaker audio.

•     Agentic AI. Build the memory and retrieval pipeline, LLM orchestration, and the agent workflows that sit on top of captured conversation.

•     Model serving and infrastructure. Stand up and optimize self-hosted serving (vLLM, Triton class). Own latency, throughput, and cost per user.

Observability

An always-on wearable means models run in production every second, on messy real-world audio. You own the visibility into that.

•     Instrument the full audio-to-memory pipeline: STT, diarization, retrieval, and LLM calls.

•     Define and track model-quality SLOs in production: transcription drift, diarization error over time, retrieval relevance, latency, throughput, and cost per user.

•     Build dashboards and alerting so model degradation is caught before users feel it.

•     Trace failures across a distributed, always-on system using metrics, logs, and traces.

•     Close the loop. Production signals feed back into evaluation and model selection.

Evaluation

We do not ship what we cannot measure. You own the systems that prove a model is actually better, not just newer.

•     Build and own ground-truth evaluation harnesses for every model in the stack.

•     Measure with real metrics: WER for transcription, DER for diarization, Recall and F1 for retrieval and speaker identification.

•     Build and maintain labeled benchmark datasets that reflect real, messy, multi-speaker audio.

•     Run regression and A/B evaluations on every model swap, prompt change, or pipeline update. Nothing ships on a vibe.

•     Reject anecdotal proxies, single confidence scores, and cherry-picked examples as evidence of quality.

What We Are Looking For

•     3 to 5 years as an AI/ML engineer with production systems behind you. Engineering and production experience is non-negotiable.

•     Depth across the modern AI stack: LLMs, speech models, vector retrieval, model serving.

•     Strong software engineering. You write code that ships and survives contact with real users.

•     Fluency in Python and the production ML ecosystem.

•     Comfort with cloud infrastructure (GCP a plus) and containerized deployment on Kubernetes.

•     A working command of observability and evaluation. You measure first and trust metrics over intuition.

•     First-principles reasoning and metric discipline.

Nice to Have

•     Research background or publications. A strong signal, not a substitute for production work.

•     Audio and speech ML experience (STT, diarization, voice).

•     Experience self-hosting and optimizing open models.

•     Experience with LLM gateway and agent orchestration patterns.

•     Experience building eval harnesses or production model-monitoring systems.

Requirements

Agentic work is must. Audio is good to have

. Self hosting models is a must

 Experience with LLM gateway and agent orchestration is a must have

JOB DETAILS:

* Job Title: Tester III - Software Testing- Playwright + API testing

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Design, develop, and maintain automated test scripts for web applications using Playwright.
• Perform API testing using industry-standard tools and frameworks.
• Collaborate with developers, product owners, and QA teams to ensure high-quality releases.
• Analyze test results, identify defects, and track them to closure.
• Participate in requirement reviews, test planning, and test strategy discussions.
• Ensure automation coverage, maintain reusable test frameworks, and optimize execution pipelines.

Required Experience:

• Strong hands-on experience in Automation Testing for web-based applications.
• Proven expertise in Playwright (JavaScript, TypeScript, or Python-based scripting).
• Solid experience in API testing (Postman, REST Assured, or similar tools).
• Good understanding of software QA methodologies, tools, and processes.
• Ability to write clear, concise test cases and automation scripts.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) is an added advantage.

Good to Have:

• Knowledge of cloud environments (AWS/Azure)
• Experience with version control tools like Git
• Familiarity with Agile/Scrum methodologies

Skills: automation testing, sql, api testing, soap ui testing, playwright

Company: 360Customizer (Namrup Technologies Pvt. Ltd.)

Location: Pune

Type: Full-time

Experience: 1–3 years

Responsibilities :

• Identify, prospect, and generate new B2B leads through outbound and inbound channels.
• Conduct product demos and presentations to potential clients.
• Understand client requirements and propose suitable SaaS solutions.
• Manage the complete sales cycle from lead generation to deal closure.
• Build and maintain strong client relationships for long-term partnerships.
• Collaborate with marketing and product teams to optimize sales strategies.
• Maintain accurate records in CRM systems.
• Achieve and exceed monthly/quarterly sales targets.

Required Skills & Qualifications :

• 1–3 years of experience in B2B SaaS sales.
• Excellent verbal and written communication skills.
• Ability to conduct virtual product demos.

About Us

We are a growing software solutions company focused on providing innovative CRM and business automation products to clients across industries. Join our dynamic sales team and start your career in tech-driven sales!

Job Description

We are looking for an enthusiastic Sales Executive to promote our software solutions and generate leads. The ideal candidate should have good communication skills, confidence while speaking with clients, and a keen interest in technology and sales.

Key Responsibilities

• Make outbound calls to prospective clients to introduce our software products.
• Understand client needs and explain relevant software features and benefits.
• Maintain a database of leads and follow up systematically.
• Schedule product demos for the sales team.
• Achieve daily/weekly call and lead targets.

Required Skills

• Excellent verbal communication in English and Hindi.
• Basic computer knowledge (MS Office, CRM tools preferred).
• Strong persuasion and listening skills.
• Positive attitude and willingness to learn.

Qualifications

• Minimum: 12th pass / Graduate in any discipline.
• Freshers with a passion for sales are highly encouraged to apply!

Job Types: Full-time, Permanent, Fresher

Work Location: In person

Strong customer service skills and the ability to handle difficult situations with tact and professionalism.

Meeting with active dealers, new customers conveying the right information with effective speech and personality.

Promoting our companies' packages and ideas

Providing Information and Assistance

Male or Female .

Language required - Marathi, Hindi, English

Qualification - 12th pass or any degree holder.

Office time: Day shift

Hirings are going on

Connect on below or visit to office

• Language required - Marathi, Hindi, English.

Sal - Up to 20,000 thousand for only experience candidates

Incentives - monthly up to 30,000 or On Deals ( Unlimited)

For fresher we are hiring as intern ( Sal windows are changes for intern)

Parag

JAYMAHESH AUTO MALL INDIA LIMITED

Kedar Empire, 4th Floor, Office no.15,

Erandwane, Karve Road, Pune-411038

Job Types: Full-time, Permanent, Fresher

Pay: Up to ₹20,000.00 per month

Benefits:

• Paid sick time

Schedule:

• Day shift

Supplemental pay types:

• Commission pay
• Performance bonus

Education:

• Higher Secondary(12th Pass) (Preferred)

Experience:

• total work: 1 year (Preferred)

Work Location: In person

• Bachelor’s or Master’s degree in Computer Science or Engineering, 
• 3-5 years of exp in building web applications using PHP (Laravel framework)
• Very good in build rich UI using HTML/CSS and Jquery
• Good understanding of databases like MySQL, PostgreSQL, etc
• Good Communication

Responsibilities

• Compensation Industry leading compensation
• Write clean and well-designed codes
• Produce detailed specifications Troubleshoot, test, and maintain the core product software and databases
• To ensure strong optimization and functionality.
• Contribute to all phases of the development lifecycle Follow industry best practices
• Develop and deploy new features to facilitate related procedures and tools if necessary

• Creating, designing and developing data models
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Validating results and creating business reports
• Monitoring and tuning data loads and queries
• Develop and prepare a schedule for a new data warehouse
• Analyze large databases and recommend appropriate optimization for the same
• Administer all requirements and design various functional specifications for data
• Provide support to the Software Development Life cycle
• Prepare various code designs and ensure efficient implementation of the same
• Evaluate all codes and ensure the quality of all project deliverables
• Monitor data warehouse work and provide subject matter expertise
• Hands-on BI practices, data structures, data modeling, SQL skills

Hard Skills for a Data Warehouse Developer:

• Hands-on experience with ETL tools e.g., DataStage, Informatica, Pentaho, Talend
• Sound knowledge of https://www.freelancermap.com/it-projects/sql-1084" target="_blank">SQL
• Experience with SQL databases such as Oracle, DB2, and SQL
• Experience using Data Warehouse platforms e.g., SAP, Birst
• Experience designing, developing, and implementing Data Warehouse solutions
• Project management and system development methodology
• Ability to proactively research solutions and best practices

Soft Skills for Data Warehouse Developers:

• Excellent Analytical skills
• Excellent verbal and written communications
• Strong organization skills
• Ability to work on a team, as well as independently

·         Design content marketing strategies and set short-term goals.

·         Plan, handle and execute various digital channel ads and PPC campaigns for company websites

·         Handle team of executives to lead SEO, content, and design requirements of marketing campaigns

·         Handle both online and offline marketing: hands-on experience with digital media, including SEO , PPC, social media marketing, email, and affiliate channels.

·         Lead and manage whole lead generation initiative for B2B services campaign in international markets like USA, UK, Australia and Europe.

·         Use and manage different tools required to manage, control and report progress of marketing initiatives and campaigns

·         Conceptualize, design and execute various marketing campaigns from time to time to generate high quality qualifies leads for company

·         Accomplished at leveraging full value from marketing automation processes and tools.

·         4+ years of hands-on marketing experience in a B2B role.

·         Excellent understanding of B2B services marketing.

·         Knowledge of Demand Generation tactics and Lead Conversion principles.

·         Ability to create value propositions that communicate clearly to targeted audiences.

• Extensive experience in creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.

·         Demonstrated ability to manage the budgeting process and use of analytical skills.

·         Proven track record in delivering marketing campaigns that drive sales growth.

·         An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.

·         Excellent English written and verbal communication skills.

·         B2B Services Marketing

·         Marketing Campaigns

·         Demand Generation

·         Lead Conversion

·         Content Creation

·         Sales process understanding

·         SEO

·         PPC