Salesforce Developer

Job Role- Fashion Consultant-(0-2 years)

Job Timings-Rotational

Working Days-6 Days (Weekends are working and between Mon-Fri (one day leave)

· Provide Style Advice:

Guide clients in choosing clothing and accessories that suit their body type, personal style, and occasion, while staying current with fashion trends.

· Curate and Coordinate Outfits:

Select and assemble outfits that reflect the client's preferences, brand image or seasonal trends.

· Support Sales In retail or brand settings, help drive sales by offering personalized styling services and ensuring that store visuals align with fashion trends and customer expectations.

Role & Responsibility -:

Create close working relationships with Product, Strategy, Marketing, and Engineering, to shape and deliver design vision and strategy

Gather and evaluate user requirements in collaboration with product managers and engineers

Illustrate design ideas using storyboards, process flows and sitemaps

Practice an iterative, user-centered design approach and create best-in-class deliverables in every phase of the UX design lifecycle.

Lead discovery sessions and brainstorms.

Develop user flows, wireframes, UI mockups and prototypes that clearly illustrate how sites, feature function and look like

Present concepts, ideas and potential solutions to stakeholders and senior management and implement their feedback.

Participate actively in UX testing and revise designs after synthesizing test results.

Utilize deep knowledge of UX best practices and trends in media, online learning and emerging

Identify and troubleshoot UX problems (e.g. responsiveness)

Creating and maintaining a site-wide style guide

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.
• 
  

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

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Post – Java Full Stack Developer

Total Experience – 5 to 8 years

Relevant Experience – 3 Years plus

Salary – Good Hike on CTC

Location – Bangalore, Chennai, Pune

Qualification - Graduation is must

Industry – Information Technology

Mandatory Skills –  Java, react/Angular atleast 3 years of experience, cloud Technology, Micro services Architect

Desired Skills - Machine Learning and Artificial

Roles & Responsibilities

- To drive and shape the technical roadmap & delivery of our next Enterprise Cloud based Applications driven by AI,ML products that impact millions of users on a daily basis. You will partner with a wide range of stakeholders from product, data science, and business, own and evolve the roadmap and technical strategy to build game changing tech for various teams. This is a highly critical and visible role that has a tangible impact on both internal user and external customer experience, as well as the company's bottom-line

PLEASE REPLY WITH YOUR UPDATED CV and KINDLY REFER YOUR FRIENDS / COLLEAGUES FOR THIS JOB.

The ideal candidate is a highly resourceful and innovative developer with extensive experience in the layout, design and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language and MySQL Server databases. 

Responsibilities

- Who can understand and demonstrate to maintain Data Quality in high volume data  systems.

- One who can understand and can deliver highly tested system

- Who can routines to test their own code using negative sql concepts.

- Who can use OOP concepts with same class being used everywhere.

- Knowledge in Angular.js and Laravel is mandatory

- College degree is not mandatory

- hike on last salary will be given

-Full time / Remote job

-Can share cv 

Thanks & Regards,

Annu