
Responsibilities :
- Requirement gathering and stakeholder management for client projects.
- Scope software development projects, create various documents (e.g. SRS, wireframes etc) and define development roadmap along side technical lead.
- Coordinate with clients day to day and act as a product owner to ensure the software being developed is conceptualised and delivered per client's expectations.
- Facilitate kick off meetings, requirement meetings and status meetings.
- Setting out quality standards for various operational areas, ensuring a high quality customer experience while adhering to the SLA’s and work processes
- Use tools such as JIRA for project management/tracking.
- Verify and validate the software on a regular basis.
- Ensure in-scope development and obtain change request approvals by evaluating against change control processes.
- Conduct impact assessments and manage risks/resolution with least impact to project constraints.
- Manage and mentor a team.
- Coordinate with sales team and participate in pre-sales activities as and when required.

About Vinove Software and Services Pvt. Ltd.
About
Vinove software is the parent company and brand name is valuecoders which is an IT service based company NASCOM and ISO certified. This organisation is 19 + years of old and having a strength of 500+ of employees.
We are working on web and mobile based technologies . Company having its two offices one is in noida sec126 & another one is in gurugaon sec 44..
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Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- Partner with Product to spot high-leverage ML opportunities tied to business metrics.
- Wrangle large structured and unstructured datasets; build reliable features and data contracts.
- Build and ship models to:
- Enhance customer experiences and personalization
- Boost revenue via pricing/discount optimization
- Power user-to-user discovery and ranking (matchmaking at scale)
- Detect and block fraud/risk in real time
- Score conversion/churn/acceptance propensity for targeted actions
- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
- Design and run A/B tests with guardrails.
- Build monitoring for model/data drift and business KPIs
Ideal Candidate
- 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
- Proven, hands-on success in at least two (preferably 3–4) of the following:
- Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
- Fraud/risk detection (severe class imbalance, PR-AUC)
- Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
- Propensity models (payment/churn)
- Programming: strong Python and SQL; solid git, Docker, CI/CD.
- Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
- ML breadth: recommender systems, NLP or user profiling, anomaly detection.
- Communication: clear storytelling with data; can align stakeholders and drive decisions.
Key Responsibilities
1. Platform & Application Architecture
- Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
- Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
- Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
- Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
2. AI / LLM / Agentic System Architecture
- Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
- Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
- Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
- Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
- Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
3. MLOps, PromptOps & DevOps Integration
- Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
- Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
- Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
- Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
4. Security, Compliance & Scalability
- Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
- Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
- Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
5. Cross-Functional Leadership
- Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
- Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
- Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
- Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
Key Skills & Qualifications
Technical Expertise
- Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
- Proficiency with Node.js, TypeScript, and API development for scalable microservices.
- Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
- Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
- Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
- Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
Preferred Skills
- Prior experience designing multi-tenant SaaS platforms.
- Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
- Knowledge of AI safety, risk frameworks, and prompt governance.
- Strong analytical and communication skills for working across business and technical stakeholders.
- Awareness of FinOps and cost optimization in token-based AI ecosystems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
- 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.
Need candidates from Digital Marketing / Advertising / AdTech / Online Media / Fintech / Investment / Digital Banking / Real Estate / BFSI / Crypto / Gaming Industry Only.
● Candidate must have experience in selling Digital products and services with B2B brands Only. (Any B2C experience will not be considered).
● Candidate should have experience in Client Acquistion of New Brands and working on Brand partnerships
● Candidate should have experience working for Global brands.
● Candidate should be good in handling End to End Sales (Market research and lead research) not only lead generation.
● Candidate must be good in Negotiation and Client Onboarding.
● Candidate must be Confident and have good Communication skills.
Note :-
● Candidate must have Awareness of Products and Services sold in previous job role.
● Candidate should know the USP of the product / service they were selling and how they are portraying them.
● Candidate should be good in Situational problem solving and dealing.
● Candidate should have ability to adapt the start-up culture.
Job Brief
We are currently hiring a Shopify Developer to join in our team who will be responsible for handling the development of Shopify-based websites including layout, user interface (UI), and front & back-end development. The person will also handle Shopify Apps and Integrations for the aforementioned functionalities.
Main Responsibilities of a Shopify Developer
- Manage e-commerce digital shelves and day-to-day website updates; responsible for maintenance, and accuracy of all website assets (creative, product imagery, landing pages, etc.) via Shopify.
- Monitor site performance, speed, traffic, and conversion across all device type
- Improve the e-commerce experience and feature sets by evaluating new payment solutions, customer communication tools, mobile solutions, merchandising tools and other enhancements.
- Executes all product websites, categories, and pricing data.
- Implementing Shopify plug-ins, themes and Customizing templates
- Maintain well-documented, reusable, and transferable code
Key Requirements
- Have a Strong understanding of front-end and back-end website development.
- Have Strong Knowledge of Shopify platform
- Hold a bachelor's degree with a preference for computer science or a related field
- Knowledge of cloud hosting (preferably Amazon LightSail)
- Have a strong portfolio of previous projects
Candidate will be responsible for designing, developing, testing, and debugging responsive web and mobile applications for the company. Using Angular/React, JavaScript, HTML, and CSS, this candidate will be able to translate user and business needs into functional front-end design.
Responsibilities :
- Designing, developing, and testing UI for mobile and web applications.
- Build reusable code and libraries for future use.
- Accurately translate user and business needs into functional front-end code.
Requirements :
- Bachelor's degree or equivalent in Computer Science, Information Technology or MCA.
- 2-5 years of experience
- Good in fundamentals of Computer Science and Programming Languages
- Understanding of HTML, CSS or JavaScript will be an added advantage.
Mandatory Requirements
- Strong MVCC frontend development experience in Angular, React, Vue, Angularjs, REDUX, or similar frameworks
- Strong foundation skills in HTML, CSS, SASS, LESS, SCSS, Javascript, OO Javascript (OOJS), and JQuery
- Responsive design techniques, highly proficient with strong security and performance optimization techniques.
- Experience building reusable components using modern techniques
- Experience building PWA and Hybrid applications using Ionic, React Native, etc. is a plus
- If you don’t have experience with MVCC frameworks like Angular, we will still consider if your fundamental skills (HTML, CSS, JS) are strong
- Knowledge in .NET language C# ,VB .NET & HTML5/CSS3
- Knowledge on MVC architecture
- Exp. in developing desktop application
- Hands on experience in REST API/SAP OData integration
- Exp. in end to end implementation
- Knowledge in handling hardware interfaces like RFID readers/sensors/traffic signals etc
- Exp in GIT, Code handling tools
- Good communication/Client facing experience
- Ability to work with in tight project timeline/Flexibility
- Ready to travel to onsite immediately
will employ empathy to understand customer expectations,
will create long-term student empowerment supported by complete clarity on product delivery for parents,
will coordinate with mentors and operations to enable a seamless student experience,
will be result oriented by owning outcomes & core metric deliverables,
hands-on individual contribution to exceed wweekly revenue, targets aligned with business goals.









