SAP ABAP SRM- Senior Consultant

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

Duties and responsibilities

 Perform technical analysis in US markets such as the NYSE, NASDAQ & Amex

 Analyze securities performance and Pricing of companies listed on US market.

 Developing forecast and projections.

 Monitoring Industries Trends and Market news.

 Prepare technical reports based on the company's fundamentals and previous performances.

 After successful completion of the training period, a Learner would be a full-fledged US stock market analyst/trader who would be able to make wise and informed stock positions.

 This profile DOES NOT entail selling/marketing of any financial products or services/ calling clients.

Work Timings and Location

 06.00 PM to 03.00 AM

 Monday to Friday

 ITPP – International Tech Park, Kharadi, Pune.

Qualifications

 Strong mathematical and statistical aptitude skills

 BCOM/BBA/MBA/PGDM-Finance /NCFM, CFAs/CMTs and any graduate/post-graduate who has passion/skill for trading.

 The candidate must be in the age group of 20-24 years

Looking out for Product Marketers -2023 MBA Passouts who can join immediately.

Key Responsibilities:

• Develop and identify new ICPs, IBPs, potential buyer-in-market signals and more for new products and services we or our clients offer to the market
• Responsible for the creation and execution of end-to-end marketing campaigns to position our products as solutions for our customers and partners worldwide.
• Communicate the value of new products and services to the sales and marketing team Speak and present both internally and externally to promote the story of our or our client's offerings
• Develop and implement promotional activities such as promotions and product launches
• Understand the market, target customers, their needs, the competition landscape to identify growth opportunities
• Build highly engaging campaigns across user funnels to increase conversion rates
• Create messaging and hooks for the entire customer journey, top of the funnel, middle of the funnel, bottom of the funnel
• Representing the customer voice in product development, marketing and all related communications.
• Develop comprehensive marketing plans for sales and marketing teams.
• Work closely with the product/service development team to determine the most profitable course for each existing and new product.
• Help the marketing team to generate strong momentum ahead of new product launches.
• Focus on implementing programs that consistently generate new, high-quality leads for our company
• Increase our digital presence with meaningful content, messaging, and tactics

Key Requirement:

• Data-driven with keen creative capabilities
• Ability to decode, grasp, and complex technical domains and convert it into customer problem statements
• Incredible ownership, accountability, follow-up/follow-through skills
• Strong collaboration across teams
• Strong numerical and analytical aptitude.
• Ability to think and react in a high-energy, fast-paced environment.
• Good People Management skills -Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.
• Technical aptitude and agility to learn web-based tools
• Very strong written communication and presentation skills
• Project ownership and using customer data to identify and prioritize opportunities
• MBA degree is preferred

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Job Title: MERN Stack Developer with Blockchain ExpertiseJob Description:

We are looking for a dynamic and skilled MERN Stack Developer with a specialization in Blockchain to join our team. As a Blockchain MERN Stack Developer, you will be instrumental in crafting and implementing blockchain solutions, utilizing the MERN stack for both front-end and back-end development. Your role will contribute to the creation of secure, scalable, and decentralized applications.Responsibilities:

1. Develop and design applications based on blockchain technology using the MERN stack.
2. Implement and integrate smart contracts and decentralized solutions into the development process.
3. Collaborate with cross-functional teams to define project requirements and specifications.
4. Create and maintain high-quality, reusable, and reliable code.
5. Ensure the application of secure coding practices to uphold the integrity of blockchain solutions.
6. Utilize front-end technologies, particularly React, to build engaging and user-friendly interfaces.
7. Work closely with UX/UI designers to implement visually appealing and intuitive interfaces.
8. Participate in code reviews, offering constructive feedback to team members.
9. Identify and troubleshoot issues related to blockchain and MERN stack development.
10. Stay informed about the latest trends, tools, and emerging technologies in blockchain.

Requirements:

1. Proven experience as a Full Stack Developer with a specific focus on blockchain technology.
2. Proficiency in the MERN stack (MongoDB, Express.js, React, Node.js).
3. Experience with major blockchain platforms such as Ethereum, Hyperledger, or similar.
4. Solid understanding of smart contract development and implementation.
5. Familiarity with decentralized application (dApp) development.
6. Knowledge of cryptography and principles of blockchain security.
7. Familiarity with version control systems, such as Git.
8. Strong problem-solving and analytical skills.
9. Excellent collaboration and communication skills.
10. Bachelor's degree in Computer Science or a related field (or equivalent work experience).

If you are passionate about both blockchain technology and MERN stack development and thrive in an innovative environment, we encourage you to apply and contribute to our cutting-edge projects.

MTX Group Inc. is seeking motivated Project Managers to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform, mavQ, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The mavQ Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Eligibility:

• 7-12 Years of Project Management experience
• PMP certification is a must
• Prince2 / CSM is preferred. 

Responsibilities:

• Customer facing role & owns the entire project lifecycle from initiation through closure by establishing a project plan & milestones
• Monitors and manages project financials, scope, and schedule to ensure the project stays on track for assigned client projects
• Drives the implementation of high-quality cloud solutions by closely engaging with all project team members (Tech Leads, Business Analysts, Developers, QA, etc)
• Acts as a primary day-to-day point of contact for the client and the operational aspects of the project
• Facilitates or co-leads with customer project manager on regular status meetings with the project team, sponsors, and all stakeholders
• Generates and distributes weekly status reports to various stakeholders at various forums
• Prepare weekly financial summary and take care of management reporting to track cost and ensure the financial health of the project
• Proactively identify and manage issues/risks throughout the project
• Provides mentoring and guidance to project team members
• Manage project dependencies, represent project in a various cross-project forum
• Procure project team; establish necessary team procedures
• Participates actively in CoEs, Discussion forums, advocates the use of MTX best practices

What you will bring:

• Any recognized Project Management Certification as mentioned in eligibility criteria.
• Hands-on experience in delivering/leading a project delivery
• Expertise in using project management tools like Smartsheets, Lucid charts, Google Apps, MS Office, etc
• Hands-on experience of various software delivery methodologies like Agile, Scrum, Waterfall, etc
• Hands-on experience of basic data tools like Excel, Google Sheets etc
• Understanding of various project contract types like time and material, fixed-price, etc.
• Flexibility to support and meet onshore client expectations
• Should be able to work and support clients located in EST time zones

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

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