Lead/VP - Data Engineer

A UK-centred leader in global finance

Lead/VP - Data Engineer

Cutshort Lightning

Company

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Lead/VP - Data Engineer

at A UK-centred leader in global finance

Agency job

via Cutshort Lightning

12yrs+

Best in industry

Pune

Skills

Amazon Web Services (AWS)

Python

PySpark

ETL

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

To be a successful Senior Data Engineer, you should have experience with:

Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success.
Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks.
Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark.
Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology.
Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications.

Additional relevant skills given below are highly valued:

Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL.
Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

To be a successful Senior Data Engineer, you should have experience with:

Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success.
Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks.
Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark.
Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology.
Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications.

Additional relevant skills given below are highly valued:

Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL.
Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java.

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Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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4 candid answers

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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.

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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.
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Implement voice understanding modules, speech intent extraction, and context tracking.

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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.
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Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

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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

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Primary Skills (Must-Have)

Core AI

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Deep Learning architectures
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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

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

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

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 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.

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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

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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

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Write clean, testable code using .NET programming languages
Develop technical specifications and architecture
Test and debug various .NET applications
Review and refactor code
Deploy fully functional applications
Upgrade existing programs
Support junior developers’ work
Document development and operational procedures
Requirements-
Work experience as a .NET Developer
Proficiency in building web-based applications
In-depth knowledge of at least one of the .NET languages (like C# and Visual Basic .NET)
Familiarity with agile environments
Troubleshooting abilities
Good communication skills
Skills-
In addition to this, you will need to meet the following criteria:

* 5+ Years of experience with C#
* Strong knowledge of SQL Server, including experience writing TSQL stored procedures and SQL queries for data extraction
* Excellent understanding of REST services
* Understanding of SOAP services
* Experience with build tools like TFS (VSTS or Azure DevOps), Team City or others
* Experience with creating deployment scripts for web application and database migration scripts
* Proficient in C# or VB.NET
* Familiar with various designs and architectural patterns
* Must have experience in technical skills - HTML, CSS, Javascript, jQuery, bootstrapping, nodejs, C#
* Experience in creating database schemas that represent and support business process
* Proficient understanding of code versioning tools

Salary - Depends on Expertise
Role - Software Developer
Industry - IT services/ Software services
Employment type - Full Time
Location - Indore

Business Development Manager

at Oogram Technologies Pvt Ltd

1 recruiter

Posted by Sruthi Keerthi

Hyderabad

2 - 10 yrs

₹2L - ₹10L / yr

Sales

Business Development

Broadcasting

Solution selling

OTT

+1 more

Role: Business Development Manager

Position open for Sales professional who has experience in sales and business development for Set Top Boxes /OTT services/IPTV for Cable TV Operators, Broadcasters and Content Aggregators. Person should take of full responsibility of entire Cycle of Sales in organisation and report to CEO.

• He/She must be able to handle team from different location and also work as a sole player in sales department. • Making Sales presentations, collateral and other marketing materials to maximize sales acquisition effectiveness and conversation rate of qualified leads to become customers. • Generate sales pipeline, qualifying opportunities, and accurately forecast pipeline via all channels that convert into new customer acquisitions including trade shows, email, social media, website, and direct mail. • Maintain quality service by establishing and enforcing organization standards, to be a perfect representation of organisation • Business case creation and presentation to CXO organization within organisation. • Contribute to team’s effort by accomplishing related results as needed. • Maintain knowledge and awareness of competitors' products, pricing, discount structures and overall strengths and weaknesses • Generate business opportunities and manage the sales process through to closure of the sale and meet the quarterly sales goals. • Work on Client meeting / solution pitch / RFP response / RFI response / presentation / proposal writing. • Brainstorm new and creative growth strategies and conducts research on the clients, market, vendor competition, possible tie-ups and go-to-market strategies Business

Skills Required: • Good communication Skills, Lead generation and case qualification, nurture sale and effective closing Skills; • Motivation for Sales, Prospecting Skills, Sales Planning, address and/or create Customer Needs and sell related products, • Territory Management, Market Knowledge, Presentation Skills, Energy Level, Meeting Sales Goals, Professionalism.

Industry: Broadcast Media

Kickass Backend Developer (Node.js / Php/ Python)

at OneLabs

1 recruiter

Posted by Shubham Jindal

NCR (Delhi | Gurgaon | Noida)

1 - 2 yrs

₹4L - ₹7L / yr

Software Development

PHP

Python

NodeJS (Node.js)

We are looking for startup enthusiasts to join a fast-paced startup team which is funded by billion dollar companies. The vision is to create the next biggest mobile app in India. We invite the best to be a part of this journey. You will be responsible for full-stack, client-side and server-side development of new and existing products using Python. This will involve working in a team to develop software and unit tests, following an agile methodology. Primary responsibilities: - Integrating existing software and developing new software solutions; - Creating APIs and test plans; - Ensuring product quality through unit testing, system testing, and continuous integration; - Investigating new technologies and continually updating technical knowledge and skills; Technical Skills Required: - Deep understanding of Python(Client and Server); - Full understanding of APIs - creation, and maintenance; - Hands-on experience on working with Django; - Understanding fundamental design principles behind a scalable application; - Proficient understanding of code versioning tools, such as Git

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