
We are on the lookout for a dynamic and driven individual for the role of Pre Sales Executive.
What will you do every day?
- The role requires a good blend of technical, product, and interpersonal skills with a passion to provide every necessary support to the front-end sales team to close large-scale enterprise deals.
- You will, on a day-to-day basis, work with various external clients & internal teams trying to bridge the gaps between solutions & selling.
- You will also come up with different collaterals which will help scale up the complete process across industry and geography.
Responsibilities :
- Understand client needs and business challenges to architect a workable solution with a convincing value proposition by collaborating with multiple cross-functional teams
- Manage relationships and with some of NeuroTags' largest strategic accounts and work closely with their teams to achieve the business objectives
- Use the domain & product experience, coupled with sales expertise, to craft sales pitches, client-specific collaterals, and demos for the sales team
- Manage the entire proposal lifecycle which will include scope finalization, solution review, commercials, and proposal submission.
- Analyze market data to determine the ideal customer for NeuroTags' solutions.
- Own the platform demos & Proof of Concepts. Understand the business use case, and create prototypes for the client
- Responsible for identifying opportunities and giving feedback to the product team to ensure a differentiated product roadmap
Requirements :
- 1-3 years of experience in Pre Sales/ Sales.
- Demonstration of critical product and consumer thinking during his/her career.
- Should be comfortable to do technical writing & creating impactful presentations
- Has a good understanding of SDKs and APIs and a good ability to troubleshoot issues
- Excellent communication skills and experience dealing with multiple stakeholders
- Experience in managing a team will be a plus

About NeuroTags
About
http://www.neurotags.com" target="_blank">NeuroTags is a Saas Enterprise platform helping global Consumer Brands like Syska, Baba Elaichi, Kapila Agro and many brands across India and the US to solve a massive problem of Counterfeiting.
We bring in the best practices and expertise of top companies such as Google, Paypal, Amazon, Yahoo, Cognizant, Bank of America. Our founders have worked in those companies before, and understand how to design a solution that would scale economically.
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We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.
Key Responsibilities
- Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
- Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
- Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
- Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
- Collaborate with data engineers to build scalable data pipelines and feature stores.
- Perform advanced feature engineering and selection to improve model accuracy and robustness.
- Work with large-scale structured and unstructured datasets using distributed computing frameworks.
- Translate business problems into data science solutions and communicate findings to stakeholders.
- Present insights and recommendations through compelling storytelling and visualization.
- Mentor junior data scientists and contribute to internal knowledge sharing and innovation.
Required Qualifications
- 7+ years of experience in data science, machine learning, and AI.
- Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
- Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
- Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
- Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
- Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
- Experience with Azure AI Foundry would be a strong added advantage
Preferred Skills
- Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
- Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
- Contributions to open-source projects, publications, or patents in AI/ML.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder engagement abilities.
- Ability to work independently and collaboratively in cross-functional teams.
- Passion for continuous learning and innovation.
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Required Experience & Skills:
- Hands-on experience with accounting software. Taking care of all books of accounts like Journals, Ledger,etc
- Experience with general ledger functions.
- Strong control over revenue through various means and channels and reconciliation
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- Day-to-day banking operations and fund planning & reporting to management.
- Preparing Bank Reconciliation revenue reconciliation
- Taking care of Vendors' bill approvals, advance, and payment.
- Working knowledge of provisions of TDS- different sections under which TDS is deducted, TDS returns, and various TDS rates. Experience in quarterly and year-end E-TDS filings.
- Statutory compliances, including verification, calculation payment & filing of return, e.g., GST, TDS, etc.
- Vendor Management. Creation of vendor registration, asset creation, and purchase. The primary point of contact for all vendor-related transactions.
- Possess strong work ethics and good interpersonal and communication (written & oral) skills.
- Good analytical skills, embrace challenges & changes, initiative and have a positive working attitude
Role and Responsibilities:
- Responsible for all accounting matters such as AR, AP, GL to ensure the accounting books accurately reflect the company's financial position in accordance with GAAP/Ind-AS.
- Controlling Accounts Payable and Account Receivables.
- Responsible for implementing Finance Policies set by the management/Corporate Office.
- Company Vendor Management. Creation of vendor registration, asset creation, and purchase. The primary point of contact for all vendor-related transactions.
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Skills & Qualification:
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3+ years in .NET/C# development (ASP.NET, Web API, MVC or Core)
Expertise in React.js (Redux, Hooks, component design)
Profile: React.js
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Experience Required: 3+ Years
Employment Type: Full-time
Required Skills & Qualifications
- Experience: Minimum 3+ years of professional experience in React.js development
- Core Technologies:Strong proficiency in JavaScript (ES6+)
- Extensive experience with React.js and its ecosystem
- Solid understanding of HTML5, CSS3, and responsive design
- Experience with state management libraries (Redux, Context API)
- Knowledge of modern build tools (Webpack, Vite, etc.)
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Job Description:
We are seeking a creative and dynamic individual to join our team as a YouTube Content Creator. As a Content Creator, you will be responsible for producing engaging and high-quality video content for our YouTube channel. This role requires a combination of creativity, technical proficiency, and a deep understanding of online video trends.
Role & Responsibilities:
Content Creation:
- Plan, script, shoot, and edit compelling video content for our YouTube channel.
- Develop innovative and entertaining concepts that resonate with our target audience.
- Stay informed about industry trends and competitor content to ensure our channel remains relevant and competitive.
Video Editing:
- Edit videos to enhance visual appeal, storytelling, and overall quality.
- Incorporate graphics, music, and other elements to elevate the production value of each video.
- Ensure all content meets brand guidelines and quality standards.
Audience Engagement:
- Monitor and respond to audience comments, feedback, and trends.
- Collaborate with the marketing team to develop strategies for audience growth and engagement.
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Collaboration:
- Work closely with cross-functional teams, including marketing, sales, and customer support, to align social media efforts with overall business objectives.
- Collaborate with influencers and partners to enhance content reach and diversity.
Analytics and Optimization:
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- Monitor YouTube algorithm changes and adapt strategies to maximize content visibility.
- Analyze video performance metrics and audience insights.
Preferred Candidate Profile:
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- Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro).
- Strong understanding of YouTube platform, trends, and best practices.
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About Company:
TalkCharge is a digital payment and marketing platform. We are facilitating our 2 Million+ users with Online Recharges, Bill payments, GiftCards and a comprehensive listing of Discount Coupons (affiliates) and Deals.
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Hands on experience in performance tuning, debugging, monitoring
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Experience with multithreaded programming, reusable frameworks, UI components, Android Jetpacks
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Previous experience of developing VoIP based solution, live streaming/video calling based application
Nice to have: experience on Server side technologies like: J2EE, PHP. RDBMS knowledge on
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DevOps understanding is a plus.
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IMMEDIATE JOINING PREFERRED!
● Good knowledge of Dimensional data warehouse systems
● Reporting data models with SSIS and MS SQL Server
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● Knowledge of BI tools like Tableau or PowerBI
● Good communication skills
Comes with the opportunity to upskill on Big Data cluster










