Technical supoort engineer

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

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

We are looking for a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐉𝐚𝐯𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who is passionate about 𝐝𝐞𝐞𝐩 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 at scale.

This role is 𝐧𝐨𝐭 about basic API development or framework-heavy work. You will be part of the 𝐜𝐨𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦, working close to the heart of the product where 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐧𝐞𝐬𝐬 𝐭𝐫𝐮𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫.

𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐃𝐨

▪️ Design and build 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that operate reliably under heavy load

▪️Develop and implement 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 for complex, real-world business problems

▪️Identify and resolve 𝐂𝐏𝐔, 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐈/𝐎, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬

▪️Build backend services where 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 are critical

▪️Own 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 & 𝐏𝐃𝐅 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 end-to-end, including:

• Composition
• Rendering
• Optimization
• High-volume document generation

▪️Make 𝐬𝐭𝐫𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 and take ownership of backend architecture

▪️Mentor engineers by setting 𝐡𝐢𝐠𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞

▪️𝟓 𝐭𝐨 𝟏𝟎+ years of strong backend engineering experience

▪️Excellent expertise in 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚 (𝐉𝐚𝐯𝐚 𝟖+) 𝐚𝐧𝐝 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭

▪️Strong knowledge of:

• Data Structures & Algorithms
• Multithreading and concurrency
• JVM internals and memory management

▪️ Proven experience designing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬

▪️Deep backend experience 𝐮𝐬𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐠 / 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭

▪️Strong understanding of:

• API design principles
• Fault tolerance and resilience
• Performance tuning and profiling

▪️Ability to reason about time and space complexity

▪️Solid database fundamentals:

• Query optimization Indexing
• Transaction management

𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫

Engineers who enjoy solving hard problems, not just wiring frameworks

Strong analytical thinking with a focus on trade-offs and optimizations

High ownership mindset with attention to performance and maintainability

📩 Interested candidates can apply

About Us : Signal Expert Global LLP is a Multi-National Company & involved in the business of providing Technical Analysis. Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance about.Forex and Comex segments. Also, Educate in Technical Analysis, identification of market Lots, pricing, possible entry points, barriers to entry, and the prevailing trends of the Forex and Comex market. Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Job Profile - Social Media Manager / Full Time / Permanent / On-site

Package - Upto 4.2 LPA

Experience - 1 - 3 years

Key Responsibilities :

• Manage and maintain all company/brand social media accounts (Instagram, Facebook, LinkedIn, X/Twitter, YouTube, etc.).
• Regularly create, schedule, and post content to keep channels active and engaging.
• Develop strategies to increase followers, engagement, and website/app traffic.
• Respond to audience interactions and foster online community engagement.
• Collaborate with marketing, design, and content teams to align social media initiatives with business goals.
• Analyse social media metrics and create performance reports to optimize campaigns and strategies.

Qualifications :

• Minimum Graduate or Post Graduate.
• Proven experience managing social media accounts for brands or companies.
• Strong understanding of social media platforms, algorithms, and analytics tools.
• Creative mindset with ability to create visually appealing and engaging posts.
• Excellent written communication skills.
• Ability to work independently and manage multiple platforms simultaneously.

Why Join Us :

• International market exposure
• Opportunities for growth and development
• International travel contests

Role – Telesales

Exp – 0 to 4years

Location – Malad

Job Summary

You will be responsible for driving sales of Flight, Hotel, and Holiday bookings by making outbound calls to travel agents, managing the entire sales cycle from lead generation and quoting to final payment follow-up.

Key Responsibilities

1. Outbound Sales & Lead Generation:

• Initiate outbound calls to travel agents to generate sales leads for company offerings (Flight, Hotel, & Holidays).
• Actively cold call business owners and utilize referrals, direct mail, email, and networking to develop a database of qualified leads.

1. Sales and Quoting:

• Listen to customer (travel agent) requirements and present product/service information appropriately to close the sale.
• Ensure that price quotes are sent promptly to all qualified leads.

1. Follow-up and Payment:

• Conduct timely follow-ups with travel agents after quotes have been sent.
• Manage payment follow-ups and ensure all payments are secured before the travel dates.

1. Client Relationship Management:

• Source and develop strong client relationships and referrals.
• Maintain the customer database by inputting customer profiles, updates, and preparing monthly reports.

1. Team & Knowledge:

• Attend all team meetings and actively share best practices with colleagues.
• Demonstrate or gain working knowledge of the travel industry (an added advantage).