Workday Finance

IndiWork Software Solutions Pvt Ltd is urgently looking for talented SEO Executives with 3 to 4 years of experience to join our growing team!

Job Location: Industrial area, Mohali Phase 7 Mohali

Skills :- strong knowledge in #on-page , #off-page

REVIEW CRITERIA:

MANDATORY:

• Strong Senior Brand Strategist Profile
• Must have 4+ years of pure brand strategy experience at branding/strategy agencies (not advertising/campaign-only roles)
• Must have hands-on experience with brand strategy frameworks for new brand creation and rebranding initiatives (brand persona, positioning, narrative, tone of voice, guidelines)
• Must have experience conducting and leading brand workshops, integrating research inputs (primary + secondary) into insights and brand positioning
• Must have B2C brand strategy experience (B2B exposure is highly preferred but optional)
• Must have strong writing and storytelling skills to translate brand positioning into compelling narratives, messaging, tone, and strategic decks.
• Must be able to manage end-to-end brand strategy projects, including research synthesis, workshop facilitation, positioning, framework creation, and collaboration with design teams for visual translation.
• Must have a portfolio or compilation of case studies showing rebranding projects, positioning frameworks, workshop involvement, research synthesis, and strategy-to-design translation
• Preferably a degree/master’s in Marketing, Brand Strategy, Design, or Communication from reputed institutes (e.g., MICA, NID, Srishti, or similar).
• Must come from Branding Studios, Brand strategy firms, Strategic design consultancies, branding agencies etc.

ROLES & RESPONSIBILITIES:

We are looking for a senior brand strategist professional, who can help us deliver innovative strategic directions that benefit our client’s business with measurable results. The candidate should have thorough knowledge and experience in the methods and application of tools to deliver an effective programme. Candidates should have experience with both mass and premium brands as well as FMCG, durables, and service categories.

Experience with digital-first or digitally marketed brands is an advantage that we look forward to.

ROLES & EXPECTATIONS-

• Drive brand and business strategy processes in our firm.
• Thorough practical knowledge and experience in implementing methods, tools and processes with capabilities to handhold teams to deliver at the highest standards.
• Proficient in conducting research programs to uncover customer and user needs, business and market findings, drawing insights for branding, service and CX design for digital and traditional applications.
• Conduct primary and secondary market research in marketing, sales and consumer experience.
• Programming workshops, conducting them and creating a comprehensive outcome report with insights and recommendations.
• Bring an idea to life on a whiteboard, articulate it, create systems and deliver.
• Strong understanding of pan-India markets across a wide range of verticals and categories.

IDEAL CANDIDATE:

• Excellent storytelling skills, capable of good verbal and written communications, client interfacing and presentation skills.
• Proficient in putting together presentations and strategy decks.
• Good articulation and writing skills.
• Understanding business, data tools and analytics (The math of it)
• Capable of managing and building relationships with senior client executives with strong domain-level competence along with a well-informed worldview.
• Team player capable of working across verticals with leadership skills.

ADVANTAGEOUS / OPTIONAL SKILLS-

• Experience in ethnographic, observational and behaviour studies.
• Management skills, idea creation, directing and delivering through a creative team.
• Interest in trends and analysis of brands, brand strategies and staying up-to-date and well-informed.
• Experience in analysing the brand and marketing landscape and writing advisory and opinion articles on branding and brand communication.
• Well-informed and knowledgeable with a world view.
• Observant and aware of current trends and their evolution.

Founding Full-Stack Engineer

Consumer AI | Delhi (Hybrid) | Building for the US Market

The Opportunity

We are a pre-seed startup redefining fashion discovery. We believe the future of e-commerce isn't about search bars and endless scrolling; it’s about context-aware curation.

We are looking for a Founding Full-Stack Engineer who sits at the intersection of Systems and Design. You will be the technical anchor of the team, turning chaotic web data into a fluid, consumer-grade experience.

The Role

You won't just be writing code; you will define the product's architecture. We need Vertical Ownership—the ability to take a feature from a raw database row all the way to a pixel-perfect interaction on the screen.

• The Data Engine (Backend & Scraping): You will build robust data pipelines that scrape and frequently refresh data from top fashion retailers. You will further structure and enrich this data, add additional attributes and prepare it for downstream consumption. Added bonus: prior experience with feature engineering
• The Experience (Frontend): You will craft the user interface. We are building a consumer brand, so "functional" isn't enough—it needs to feel "alive.”. If you have a refined design sense, and prior exposure to building eComm websites with complex landing and category pages, then you are the right fit for this role. 
• The Intelligence (AI Integration): You should be able to understand and re-run existing research algorithms on Fill-In-The-Blank (FITB) tasks.

The Toolkit

• Core Stack: Python for the heavy lifting; JavaScript/TypeScript (React) for the web interface.
• Data Ops: Experience building complex scrapers, handling proxies, and managing data pipelines is non-negotiable.
• Design Engineering: A strong grasp of building advanced eCommerce components (multi-tile grid layouts, drag-and-drop elements, etc.)
• Low-code tools: Adept at rapidly prototyping with Replit, Lovable, etc.

The DNA We Are Looking For

• You are a Builder, not just a Coder. You prefer shipping a live prototype over debating a PR for three days.
• You have Taste. You understand that building for the US consumer market requires a level of polish and minimalism that standard B2B SaaS ignores.
• You are "T-Shaped." You have deep expertise in one area (either scraping or frontend), but you are dangerous enough across the entire stack to build solo.
• You embrace the Chaos. You know how to build structure out of messy unstructured data.

Why Join Now?

• 0 to 1 Ownership: No legacy code, no technical debt. Just you, the founders, and a blank editor.
• Global Impact: You are building from India, but for the most competitive consumer market in the world (USA). The standards are higher, and so is the reward.
• Founding Team Status: Competitive pay with a future path to equity

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

·      Problem-Solving Skills, should be able to convert Idea on Paper to Code

·      Bachelor’s degree in computer science or related field, or equivalent professional experience.

·      0 - 4 years of database experience (Oracle SQL, PL/SQL)

·      Proficiency in Oracle, with Hands-on experience in database design

·      Creation & implementation of data models.

·      Strong experience with Oracle functions, procedures, triggers, packages.

·      Willing to learn, grasp & quickly adapt needed cutting-edge tools & technologies in shorter timeframe.

·      Should be able to write basic Procedures & Functions.

Role

You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc

Qualifications 

• BS or MS in Computer Science or relevant field.
• 4+ years experience in backend software development
• Be able to design high-throughput scalable backend systems
• Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
• Proficiency in Python.
• Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
• Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)