Sales Consultant / Senior Sales Consultant

Manage campaigns from onboarding and setup through execution, optimisation, and final delivery.

Understand client requirements, campaign objectives, target audience, budgets, and KPIs.

Coordinate with clients, affiliate partners, publishers, and internal teams for smooth campaign execution.

Monitor campaign performance, including clicks, leads, conversions, CPL, CPA, revenue, and ROI.

Ensure campaigns achieve agreed delivery targets within the specified timelines and budgets.

Maintain tracking links, pixels, postbacks, UTM parameters, and campaign dashboards.

Conduct regular lead-quality checks and identify duplicate, invalid, or fraudulent leads.

Analyse daily and weekly campaign data and implement corrective actions wherever required.

Prepare and share campaign performance, delivery, and reconciliation reports.

Allocate campaigns among affiliate partners based on performance and delivery capacity.

Troubleshoot campaign tracking, integration, lead-flow, and delivery-related issues.

Coordinate with CRM, ad operations, sales, finance, and technical teams.

Maintain accurate campaign records, partner payouts, invoices, and reconciliation data.

Identify opportunities to improve campaign performance, scalability, and profitability.

Manage multiple campaigns simultaneously while ensuring quality and timely delivery.

Job Title : HR (People & Culture)

Experience : 5+ Years

Location : Surat / Ahmedabad (On-site)

Employment Type : Full-time

About the Role :

We’re seeking an experienced HR professional to lead People Operations — covering hiring, onboarding, performance, compliance, engagement, and culture. This is a hands-on role for someone who can build scalable HR processes in a fast-growing startup environment.

Mandatory Skills :

End-to-end recruitment, HR operations, compliance (POSH, PF, ESI, PT), performance management, and employee engagement.

Key Responsibilities :

• Manage end-to-end recruitment for tech and non-tech roles.
• Strengthen employer branding and referral programs.
• Design and manage onboarding, performance, and engagement processes.
• Oversee HR operations, compliance (POSH, PF, ESI, PT), and policies.
• Drive learning, development, and culture initiatives.

Requirements :

• 5+ years of HR experience in startups or product-based firms.
• Strong understanding of HR compliance and payroll.
• Proven experience in setting up HR systems and hiring processes.
• Excellent communication and stakeholder management skills.

Preferred :

• Experience hiring for tech roles and exposure to ESOPs.
• Prior work in health-tech or similar domains.

Success Metrics :

• Faster time-to-hire and high offer acceptance.
• Smooth onboarding and compliance adherence.
• High engagement and 90-day retention rates.

Job Summary:

As a Java Full Stack Developer, you will design, develop, and maintain scalable backend services and frontend applications using Java (Spring Boot) and React. You will work closely with cross-functional teams to deliver high-performance and reliable systems.

Key Responsibilities:

• Develop and maintain applications using Java, Spring Boot, and React

• Design and build RESTful APIs for data-driven applications

• Work on frontend development using ReactJS

• Ensure scalability, performance, and reliability of applications

• Collaborate with QA, DevOps, and Product teams

• Participate in code reviews and technical discussions

• Troubleshoot and resolve production issues

• Mentor and guide junior developers

Required Skills & Qualifications:

• Strong experience in Java and Spring Boot

• Hands-on experience with React.js

• Experience with PostgreSQL or other relational databases

• Good understanding of data modeling and backend architecture

• Strong knowledge of OOP concepts

• Familiarity with Agile/Scrum and Git workflows

• Excellent problem-solving and communication skills

Good to Have:

• Experience with Snowflake / Databricks

• Exposure to data-driven or analytics platforms

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
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Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Conga CPQ Business Analyst

Exp- 7 to 9 years

Work Mode – Remote

Employment type – Contract

Job description:

3 to 5 years of experience to support and enhance Conga CPQ and ERP systems.

Should have Conga CPQ/CLM functional expertise.

Serve as SME for Conga CPQ & ERP systems.

Perform system testing, validation and coordinate with business UAT testing.

Expert-level knowledge in product modelling, pricing configurations, and quote management.

Collaborate with teams to gather, analyze and document business requirements.

Should be good at creating stories, acceptance criteria and agile processes.

We are looking for a DevOps Lead to join our team.

Responsibilities

• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment

Operations (Ops)

• Identity manual processes and automate them using various DevOps automation tools

• Maintain the organization’s growing cloud infrastructure

• Monitor and maintain DevOps environment stability

• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues

• Orchestrating builds and test setups using Docker and Kubernetes.

• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability

• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences

Requirements

• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.

• Candidate should have experience in ELK stack, Kubernetes, and Docker.

• Solid experience in the AWS environment.

• Should have experience in monitoring tools like DataDog or Newrelic.

• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.

• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.

• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.

• Candidates should demonstrate knowledge in handling distributed data systems.

Examples: Elastisearch, Cassandra, Hadoop, and others.

• Should have experience in GitLab- CIRoles and Responsibilities