Dot Net developer

About RevSure

Revsure.ai is an early-stage US VC-backed company building a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.

About Team and Role

The Data Platform team at RevSure AI is building an industry-first generic data model for storing and reporting on data from diverse sources systems that our customers use in tracking their end-to-end revenue life cycle.  Our reporting layer is being built to power real-time querying of complex RevOps metrics in a multi-tenant ecosystem.  Building all of this comes with interesting challenges in every aspect of data engineering including Data Modelling, Configurability of ETL pipelines, Entity Resolution, Metadata Management, Data Governance etc.  The role requires solid understanding of data systems and ETL patterns to design and author complex data pipelines.  Being an early member of the data team also provides a ton of learning opportunities and the chance to define and shape the architectural decisions involved in solving these challenges to help usher in a new era of Revenue Intelligence.

Work Setup

Full-time; Hybrid working - location: Bengaluru

Experience and Skills

• Have 4+ years of experience with developing data applications using big data technologies such as Hadoop, Spark, Flink, Dataflow etc.
• Experience with workflow orchestration tools such as Airflow/Luigi/Azkaban etc.
• Experience with coding languages like Python/Java/Scala
• Experience with at least one cloud platform AWS/GCP/Azure
• Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing
• Knowledge and experience with Data Management and Data Storage best practices.
• Exposure to large databases, BI applications, data quality and performance tuning
• Good to have understanding of job management, resiliency
• Good to have prior experience with Graph, Time-series databases
• Good to have some experience with GenAI and Agentic Framework

Roles and Responsibilities

• Architect highly metadata-driven data pipelines with algorithms for data deduplication, data harmonisation, fuzzy matching, identity resolution
• Design and architect relational, time series and graph databases to run OLAP queries
• Design and develop SDKs and APIs to enable configurable data consumption paradigms
• Build tools to monitor the health of the data pipelines and data infrastructure

Junior Accountant – Job Description

Job Title: Junior Accountant

Job Summary:

Assist in maintaining accounting records, processing financial transactions, reconciling client and bank accounts, preparing GST/TDS records, and supporting day-to-day accounting operations in a stock broking environment.

Key Responsibilities:

• Record accounting entries and maintain ledgers.
• Perform bank and client ledger reconciliations.
• Process invoices, payments, and receipts.
• Assist with GST, TDS, and statutory compliance.
• Prepare MIS reports and financial data.
• Maintain accurate accounting records and documentation.
• Support month-end and year-end closing activities.
• Coordinate with internal teams for financial queries.

Key Skills:

• Knowledge of accounting principles and bookkeeping.
• Basic understanding of stock broking operations (preferred).
• Proficiency in Tally Prime and Microsoft Excel.
• Knowledge of GST, TDS, and bank reconciliation.
• Strong analytical and numerical skills.
• Attention to detail and accuracy.
• Good communication and teamwork.
• Ability to meet deadlines and maintain confidentiality.

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 Title: Jr. Purchase Engineer / Jr. Purchase Executive (Female Only)

Location: Gandhinagar

Employment Type: Full-Time

Salary: Starting ₹20,000 CTC per month

Experience: Fresher to 2 Years

Job Overview

We are looking for a female Jr. Purchase Engineer / Jr. Purchase Executive. The ideal candidate will be responsible for coordinating with the Purchase, Production, and Planning departments, ensuring smooth procurement operations, and maintaining accurate documentation and follow-ups with suppliers.

Key Responsibilities

• Coordinate between Purchase, Production, and Planning departments to ensure timely material procurement.
• Prepare and release Purchase Orders (POs) accurately and on time.
• Conduct regular follow-ups and calls with suppliers to track order status and delivery schedules.
• Maintain and update purchase records, documents, and supplier databases.
• Support vendor development and assist in identifying cost-saving opportunities.

Qualifications

• Preferred: Engineering Graduate (Mechanical / Electrical / Industrial, etc.) – Fresher or up to 2 years of experience.
• Alternate Qualification: B.Sc., BCA, or B.Com graduates with good communication skills and proficiency in English are also welcome to apply.

Skills Required

• Good computer proficiency, especially in MS Excel and email communication.
• Knowledge of SAP / ERP systems (optional).
• Strong communication and coordination skills.
• Good command of written and spoken English.
• Detail-oriented, organized, and able to multitask effectively.

About Company

Our client is a luxury home décor brand where technology enables world class home interior design.

Job Overview: We are seeking a highly creative and talented Copywriter to join our team. As the Copywriter, you will be responsible for written material for various platorms, such as websites, blogs, social media, and marketing campaigns that showcases the elegance and uniqueness of our luxury interior designs. Your words will play a pivotal role in enhancing our brand image, driving client engagement, and to produce engaging, informaƟve, and well-structured content that resonates with the target audience.

Responsibilities:

·       Develop captivating content surrounding our luxury interior projects that is well researched and in line with the organisations brand communication.

·       Team up with designers and marketers to create compelling content across our platform.

·       Dig deep into interior trends to create authentic content that resonates with readers.

·       Conducting keyword research and using SEO best practices to enhance online visibility and increase organic traffic.

·       Develop related content for multiple platforms, such as websites, email marketing, product descriptions, videos, and blogs.

·       Bring fresh ideas to the table and collaborate with our creative squad.

·       Edit & improvise content consistently to improve readability.

·       Edit and proofread content for impeccable grammar, spelling, and coherence, ensuring the highest quality output.

·       Stay up-to-date with industry trends, emerging technologies, and relevant news to infuse fresh perspectives into the content.

·       Prior experience in the luxury sector is mandatory.

Requirements:

·       Master’s degree in English, Journalism, Communications/PR, or a related field.

·       Substantial experience in content writing, copywriting, or a related field.

·       Portfolio of relevant writing samples.

·       Familiarity with web publication techniques, marketing tools, MS Office or Google Suite.

·       Impeccable grasp of the English language, including idioms and current trends in slang and expressions

·       Excellent verbal and written communication skills

·       Creativity along with a keen eye for details

·       Strong grasp of SEO principles and keyword integration for optimized content.

·       Monitor and analyse the performance of key performance indicators (KPIs) to offer suggestions for improvement.

What are the Key Responsibilities:

• Design NLP applications
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Develop NLP systems according to requirements
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Remain updated in the rapidly changing field of machine learning

What are we looking for:

• Proven experience as an NLP Engineer or similar role
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
• Ability to effectively design software architecture
• Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms
• Knowledge of Python, Java, and R
• Ability to write robust and testable code
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
• Strong communication skills
• An analytical mind with problem-solving abilities
• Degree in Computer Science, Mathematics, Computational Linguistics, or similar field

Requirements:

• Good verbal and written communication skills and interpersonal skills required
• Software& Application learning abilities
• Any Graduation ( Technical will be preferred)
• Experience in a similar role or experience will be preferred
• Able to promptly answer & support related Phone calls, chats & Emails.
• Good knowledge of Microsoft excel and other tools

Roles & Responsibilities:

• Supporting the customer through an email ticketing system, live chat and phone calls to resolve customer queries
• To help solve customer problems and issues maintaining SLAs Troubleshooting technical issues and communicating back to the customer
• Should be able to customers get to the root of their problems quickly.
• Following up with clients to ensure the problem is resolved
• Maintaining records of each phone call for future reference.
• Offering exceptional customer service and satisfaction.
• Ability to meet deadlines and prioritize tasks.
• Produce periodic reports of technical support operations to company management.
• Using remote desktop connections to provide immediate support.
• Raising tickets to the technical team as and when required to solve technical issues
• Properly escalate unresolved issues to appropriate internal teams like development and QA teams
• Creating support manuals for end uses for step by step guide for the features

Job Description -

Job Title: Expert iOS Developer (NFT)

Experience: 3 to 8 Years experience

Job Location: Indore, Madhya Pradesh, India

Salary: Open (No bar for the right candidate)

Joining: Immediate (prefer less than 15 days Notice Period)

Requirements:

5+ years experience building mobile products.
Good knowledge of C/C++ required
Experience working with Cocoa/UIKit frameworks and the iPhone SDK.
Experience submitting applications to iTunes, with previous approved products in iTunes App Store
BS or MS in Computer Science or related fields preferred, top-tier schools preferred.
Experience using version control repositories.
Comfortable with agile/scrum development process and code reviews.
Involvement in system and integrated testing is required.
Should be capable of performing effectively in a team.