Sr Manager - Ad Sales

Role Overview

We are looking for an experienced Commodity Trader responsible for executing trading strategies, managing commodity portfolios, and identifying profitable opportunities in global commodity markets. The role requires strong analytical skills, market understanding, and the ability to manage risk while maximizing returns.

Key Responsibilities

Trading & Market Execution

• Execute buy and sell orders for commodities such as metals, energy, agricultural products, or derivatives.
• Monitor market trends, pricing, and global supply-demand dynamics.

Market Analysis

• Conduct fundamental and technical analysis of commodity markets.
• Track geopolitical events, weather patterns, and economic indicators affecting commodity prices.

Portfolio & Risk Management

• Manage commodity trading portfolios and ensure adherence to risk management guidelines.
• Monitor exposure levels and hedge positions where necessary.

Strategy Development

• Develop and implement profitable trading strategies.
• Identify arbitrage opportunities across markets and exchanges.

Stakeholder Coordination

• Work closely with brokers, exchanges, logistics teams, and finance teams.
• Maintain relationships with suppliers, customers, and market participants.

Reporting

• Prepare daily trading reports, P&L analysis, and market outlook summaries.
• Provide insights to senior leadership on market opportunities and risks.

Ideal Candidate

Mandatory Requirements

• Experience: 5–10 years of experience in commodity trading or commodity markets.
• Market Knowledge: Strong understanding of commodity markets such as metals, energy, or agricultural commodities.
• Trading Platforms: Hands-on experience with trading platforms and financial instruments (futures, options, swaps).
• Analytical Skills: Strong quantitative and analytical skills for market forecasting.
• Risk Management: Experience managing exposure, hedging strategies, and volatility.

Preferred Qualifications

• Experience trading on major exchanges (MCX, LME, CME, ICE).
• Background in energy, metals, or agricultural commodities trading.
• Strong Excel, data analysis, or financial modeling skills.

Education

• Bachelor’s degree in Finance, Economics, Business, or related field
• MBA or CFA is a plus.

Skills

• Commodity market analysis
• Trading strategies
• Risk management
• Financial modeling
• Market research
• Negotiation and decision-making

Manual Tester (QA) (Full-Time)

Malad, Mumbai, Mindspace | Work from Office

We’re hiring a Manual Tester at Websites.co.in, an app that helps small businesses create their website in just 2 minutes.

Your role

– Test web and mobile applications end to end, across devices and browsers

– Create test cases, test scenarios, and test reports

– Perform functional, regression, UI and usability testing

– Identify, document, and track bugs with clear reproduction steps

– Verify fixes and validate releases before go-live

– Collaborate with developers and product to improve quality and user experience

– Validate API responses using Postman, where required

What we expect

– Strong understanding of SDLC and STLC, and the defect lifecycle

– Ability to write clear, structured test cases and bug reports

– Experience testing web or mobile applications, or both

– Familiarity with bug tracking tools such as Jira or Trello

– Attention to detail, structured thinking, and ownership mindset

– 0–2 years of manual testing experience

Nice to have

– Basic API testing with Postman, basic SQL for validation

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Responsibilities:

-- Contact potential and existing customers to inform them about fabric products and services using sales scripts

-- Answer questions about fabrics and the company

-- Understand customer requirements and close sales

-- Direct prospects to the field sales team when needed

-- Enter and update customer information in the database

-- Take and process fabric orders accurately

-- Handle customer grievances to preserve the company's reputation

-- Meet sales quotas and facilitate future sales

-- Keep records of calls, sales, and useful customer information

-Requirements:

-- 2+ years of proven experience as a telesales representative or in other sales/customer service roles

-- Demonstrated track record of successfully meeting sales quotas, preferably over the phone

-- Good knowledge of relevant computer programs (e.g. CRM software) and telephone systems

-- Ability to learn about fabric products and services and describe/explain them to prospects

-- Excellent communication and interpersonal skills

-- Ability to handle rejection and remain cool-tempered

-- Outstanding negotiation skills with the ability to resolve issues and address complaints

-- High school diploma; BSc/BA preferred

About the company

"Since 1966, Luthra Exports has been a leading name in India's textile industry, specializing in premium Surat-based fabrics. With offices in New Delhi and Surat, Gujarat, we serve customers nationwide with a wide range of quality polyester and viscose fabrics.

Job Title: Data Warehouse/Redshift Admin

Location: Remote

Job Description

AWS Redshift Cluster Planning

AWS Redshift Cluster Maintenance

AWS Redshift Cluster Security

AWS Redshift Cluster monitoring.

Experience managing day to day operations of provisioning, maintaining backups, DR and monitoring of AWS RedShift/RDS clusters

Hands-on experience with Query Tuning in high concurrency environment

Expertise setting up and managing AWS Redshift

AWS certifications Preferred (AWS Certified SysOps Administrator)

We are looking for a Product Engineer - Frontend Engineer to join our early stage startup with experience in building B2C products. 

If you have experience of working in product based companies (preferably startups), good to excellent coding skills in react js and typescript, have a keen eye for details in the UI, and are looking to build exciting things that children across the world will use - come talk to us!

What you get to do:

• Design and build advanced applications from scratch keeping scalability and performance in mind
• A good handle on both client and server architecture.
• Work on bug fixing and improving application performance.
• Comfortable in owning large scale products and continuously re-evaluating and innovating.

Who are we looking for:

• Bachelor's degree or equivalent in Computer Science
• 1+ years' experience in frontend development
• Familiarity using Scrum/Agile development methodologies
• Experience building object oriented web applications in React JS, Typescript, HTML5, and CSS3
• Should be a quick learner and willing to go the extra mile in delivering the projects.
• Should be able to mentor junior folks whenever necessary.

Responsibilities (KRA):

• Create Angular components with proper standards of the Angular.
• Create the applications with responsiveness and cross browser compatibility.
• Optimizing the performance on the browser by using the webpack custom confi
• Integrate with REST APIs built with modern authorization mechanisms such as JSON Web Token.
• Create test cases for each component by using any one of the testing library support provided in Angular.
• Ability to debug the Angular code in the browser to rectify the issues.
• Exposure to Progressive Web Apps (PWA) will be preferred.
• Exposure to latest technology trends and passion to grow is must
• Exposure to Insurance domain in past will be preferred

Required skills/Experience:

• Angular 6+, Redux, JavaScript
•  Node/NPM
• GIT
• JIRA 
• REST API, JSON
• Unit Test Cases - Jest/Enzyme/Mocha/Jasmine
• Visual Studio Code
• UI Library: Bootstrap / ng-zorro / Angular CDK Tomcat