Service Engineer - CNC Bending Machine

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 Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Key Responsibilities 

• Design, develop, and maintain scalable web applications using Node.js, React.js, and Next.js 
• Build robust RESTful APIs and backend services 
• Develop responsive and high-performance user interfaces 
• Work with cloud services on AWS and/or GCP for deployment and infrastructure 
• Collaborate with cross-functional teams including product, design, and QA 
• Optimize applications for maximum speed and scalability 
• Ensure code quality through best practices, code reviews, and testing 
• Troubleshoot and debug applications 

Required Skills 

• Strong experience in Node.js (backend development) 
• Proficiency in React.js and Next.js with product development experience
• Experience in building REST APIs and microservices architecture 
• Hands-on experience with cloud platforms: 
• Amazon Web Services (AWS) 
• Google Cloud Platform (GCP) 
• Strong knowledge of JavaScript (ES6+), HTML5, and CSS3 
• Experience with databases (SQL/NoSQL such as MongoDB, PostgreSQL) 
• Familiarity with version control tools like Git 
• Understanding of CI/CD pipelines and DevOps practices  

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Position: Content Specialist - Marketing (BAA & DRI)

The Pahwa Group is seeking to fill Content Specialist - Marketing position. The candidate selected should carry experience of minimum 5 years in Content writing.

The position would report to the Marketing Head.

Responsibilities:

Technical Content writing on different verticals of the company

Content development for all marketing campaigns.

Proofreading, creating, editing, and managing content for the company.

Creating content via various multimedia formats for reading, listening or viewing onscreen.

Conceptualization and development of content for marketing collateral, such as newsletters, brochures, videos, social media posts, and emailers, according to the marketing plan.

Collaborate with sales and engineering to understand product and communication needs.

Maximizing the website visibility through corporate publicity, brad stories, corporate interviews and social

media promotions

Desired Skills and Competencies:

Excellent Verbal & Written Communication Skills

MUST HAVE - Strong exposure in Technical Content Writing both in Traditional and new day mediums Capable to contribute as independent Individual role

Location: Gurgaon

Educational Requirements:

Graduate OR Post Graduation with the specialization in Marketing or Mass Communication would be preferred

1. Will be responsible for running manpower staffing solution like temporary and permanent staffing solution with Revenue Generation Model.

2. Will be accountable for creating and signing up agreements with clients.

3. Should handle existing client and adding new clients for our Manpower staffing service.

4. Recruitment for Clients requirements and Inhouse requirements should be executed effectively.

5. Should execute HR Generalist role ( Recruitment, Appointing Process, Induction, HR policy and process creation, Attrition,Training the team, Appraisal, Disciplinary action.

6. Should Manage the Team efficiently.

7. Responsible in training and grooming juniors.

8. Maintainance or process, reports are mandatory.

KRA

*Profit Generation Through Running Manpower consulting vertical (Staffing solution ) and Training Candidates in HR End to End Process.

*Always Clients expectations should be exceeded

*HR Generalist complete Process to be handled efficiently

Job Summary
We are looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

• Minimum experience should be 5 years.
• Strong knowledge of PHP frameworks (such as OpenCart, Zend)
• Advance understanding of front-end technologies, such as JavaScript & JS based frameworks like jquery.

• Understanding of MVC design patterns.

• Good hands on in integrating payment API's and CRM software development.

• Preference for experience on rest API's.

• Proficient understanding of code versioning tools, such as Git.