Sales Executive

Job Title: AI/ML Engineer (GenAI & System Modernization)

Experience: 4 to 8 years

Work Mode: Hybrid

Location: Bangalore

Job Overview:

We are seeking AI engineers passionate about Generative AI and AI-assisted modernization to build cutting-edge solutions. The candidate will work on in-house GenAI applications, support AI adoption across the organization, collaborate with vendors for POCs, and contribute to legacy system modernization using AI-driven automation.

Key Responsibilities:

• Design & develop in-house GenAI applications for internal use cases.
• Collaborate with vendors to evaluate and implement POCs for complex AI solutions.
• Work on AI-powered tools for SDLC modernization and code migration (legacy to modern tech).
• Provide technical support, training, and AI adoption strategies for internal users & teams.
• Assist in integrating AI solutions into software development processes.

Must Have:

• Bachelor’s / Master’s degree in Computer Science / Computer Engineering / Computer Applications / Information Technology OR AI/ML-related field.
• Relevant certification in AI/ML is an added advantage.
• Minimum of 2 successful AI/ML POCs or production deployments.
• Prior experience in AI-powered automation, AI-based DevOps, or AI-assisted coding.
• Proven track record of teamwork and successful project delivery.
• Strong analytical and problem-solving skills with a continuous learning mindset.
• A positive, can-do attitude with attention to detail.

AI/ML Expertise:

• Strong hands-on Python programming experience.
• Experience with Generative AI models and LLMs/SLMs (worked on real projects or POCs).
• Hands-on experience in Machine Learning & Deep Learning.
• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Understanding of MLOps pipelines and AI model deployment.

System Modernization & Enterprise Tech Familiarity:

• Basic understanding of Java, Spring, React, Kotlin, and Groovy.
• Experience and willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL).
• Experience with code quality, AI-assisted code refactoring, and testing frameworks.

Enterprise Integration & AI Adoption:

• Ability to integrate AI solutions into enterprise workflows.
• Experience with API development & AI model integration in applications.
• Familiarity with version control & collaboration tools (Git, CI/CD pipelines).

At Verto, we’re passionate about helping businesses in Emerging markets reach the world. What first started life as a FX solution for trading Nigerian Naira has now become a market-leading platform, changing the way thousands of businesses transfer money in and out of Emerging Markets.

We believe that where you do business shouldn’t determine how successful you are, or your ability to scale. Millions of companies a day have to juggle long settlement periods, high transaction fees and issues accessing liquidity in order to trade with African businesses. We’re on a mission to change this by creating equal access to easy payment and liquidity solutions that are already a given in developed markets.

We’re not alone in realising the opportunity and need to solve for emerging markets. We’re backed by world-class investors including Y-Combinator, Quona and MEVP, power payments for some of the most disruptive start-ups in the world and have a list of accolades from leading publications including being voted ‘Fintech Start Up of the Year’ at Fintech Awards London 2022.

Each year we process billions of dollars of payments and provide companies with solutions which help them to save money, automate processes and grow, but we’re only just getting started.

We’re seeking a driven and results-oriented Data Engineer who is excited to help build out a best-in-class Data Platform.  In this role, you will be expected to achieve key milestones such as improving on our existing Data Warehouse, implementing a CI/CD framework, and enabling core technologies such as dbt and git.  You will play a pivotal role in enabling long-term scalability and efficiency when it comes to all things data, and leveraging your expertise in Data Engineering to drive measurable impact.

In this role you will:

• Conceptualize, maintain and improve the data architecture
• Evaluating design and operational cost-benefit tradeoffs within systems
• Design, build, and launch collections of data models that support multiple use cases across different products or domains
• Solve our most challenging data integration problems, optimising ELT pipelines, frameworks, sourcing from structured and unstructured data sources
• Implementing CI/CD frameworks
• Create and contribute to frameworks that improve the accuracy, efficiency and general data integrity
• Design and execute ‘best-in-class’ schema design
• Implementing other potential data tools
• Define and manage refresh schedules, load-balancing and SLA for all data sets in allocated areas of ownership
• Collaborate with engineers, product managers, and data analysts to understand data needs, identify and resolve issues and help set best practices for efficient data capture
• Determine and implement the data governance model and processes within ownership realm (GDPR, PPI, etc)
• 
  

You’ll be responsible for:

• Taking ownership of the data engineering process - from project scoping, design, communication, execution and conclusion
• Support and strengthen data infrastructure together with data team and engineering 
• Support organisation in understanding the importance of data and advocate for best-in-class infrastructure
• Mentoring, educating team members on best-in-class DE practices
• Priorising workload effectively
• Support quarterly and half-year planning from Data Engineering perspective

Note:  This is currently a small data team, you may be asked to contribute to projects outside of the typical Data Engineering role.  This will most probably involve analytics engineering responsibilities such as maintenance and improvement of ‘core’ tables (transactions, companies, product/platform management).  

Skills and Qualifications

• University degree; ideally in data engineering, software engineering, computer science-engineering, numerate or similar
• +4 years of data engineering experience or equivalent
• Expert experience building data warehouses and ETL pipelines
• Expert experience of SQL, python, git, dbt (incl. query efficiency and optimization)
• Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) → Qualification preferred, not mandatory
• Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar)
• Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar)
• Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar)
• 
  

Preferred Experience:

• Experience with real time data pipelines (AWS Kinesis, Kafka, Spark)
• Experience with observability tools (Metaplane, MonteCarlo, Datadog or similar)
• Experience within FinTech/Finance/FX preferred

·      Identifying opportunities in target markets for your organization’s products and services

·      Generating leads through cold calling prospective clients or networking at trade shows

·      Developing and nurturing relationships with key customer accounts

·      Keeping up with the latest industry developments, including market positioning of corporate competitors

·      Assessing client needs and the company’s ability to meet those needs

·      Following up with new leads and referrals generated from the sales team

Requirements:

• Bachelor’s degree in business, marketing or related field.
• Experience in sales, marketing or related field.
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organizational skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

• eact.js Developer Requirements:

  • Bachelor’s degree in computer science, information technology, or a similar field.
  • Previous experience working as a react.js developer.
  • In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
  • Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
  • Experience with user interface design.
  • Knowledge of performance testing frameworks including Mocha and Jest.
  • Experience with browser-based debugging and performance testing software.
  • Excellent troubleshooting skills.
  • Good project management skills.

The Application Developer will be responsible for developing custom solutions specializing in C# and NET technologies to support the overall enterprise application initiatives Guides team members in

Adhere to NET framework for automation projects to ensure manageability and maintainability of ode base

7+ years of work experience in developing Business IT Applications, Digital technologies, and Platform implementation

Practical experience of developing machine learning systems

Strong software skills in Python/R/C#

Experience in using machine learning frameworks and libraries such as TensorFlow a plus

Lead and work with ML engineers and data scientists to build smart automation & ML applications

Strong software troubleshooting skills, and an understanding of programming constructs in C# NET, in a MS Windows based enterprise software environment

Lead and work with ML engineers and data scientists to build smart commerce services & ML applications

Identify what kind of data in which format should be collected in order to solve the problem

Strong understanding of programming concepts and a programming background with C# NET

Strong understanding of Process Design documents, Technical Design documents and BPMN 20 standards

Strong understanding of web technologies, HTML, CSS, JavaScript, xml, xaml

Strong understanding of relational database design, writing queries and stored procedures with MySQL or Microsoft SQL

Strong understanding of Object Oriented Analysis and Development within large enterprise level applications

Advising students & parents with concern to different career opportunities post 12th grade & graduation, helping them to overcome the difficulties & dilemma in opting for the preferred career options.

•  JAVA/J2EE (Mandatory)
• HTML/CSS – Basics would suffice
• JavaScript, JQuery, JQWidgets – Must be proficient and core skill requirement

•  .NET Framework (v4.5 and above) + C# (v5 and above) programming language: Core skill set and mandatory
• Windows WCF (SOAP) /Web-API (REST using JSON): Must be proficient
• Windows Server knowledge – IIS + Windows services: Basics from deployment perspective
• MS SQL server: Must be proficient with queries and database objects

• Minimum 3 years as a technical lead
• Experience in Business, Data, Technical Architecture and leveraging tools
• Ability to triage complex problems into smaller units that are amenable to being solved.
• Inquisitive and analytical mind
• Proven ability to manage non-direct reports to achieve results and to work in a multi-cultural multi-functional environment where consensus is critical for success
• Customer and end-user focused and have excellent oral and written communications skills