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Machine Learning Engineer

VertoPune, IndiaOnsite

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 Machine Learning Expert who will define and drive the use of GCP and AWS ML toolchains to revolutionize our AI/ML applications. In this role, you’ll develop and deploy cutting-edge machine learning solutions using Python and Node.js, helping Verto deliver smarter, faster, and more scalable products.

In this role, you will:


  • Design, build, and deploy scalable machine learning systems leveraging GCP and AWS ML ecosystems to support billions of dollars in transactions.
  • Architect and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment into production.
  • Develop robust, feature-rich APIs and backend systems to integrate machine learning models into existing products and processes.
  • Collaborate across teams to ideate and prototype ML solutions for fraud detection, payment optimization, and automation, creating significant business impact.
  • Experiment with advanced ML techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), for innovative product applications.
  • Implement monitoring and maintenance frameworks for production ML systems, ensuring performance and accuracy over time.
  • Act as a technical leader, setting direction for ML architecture and processes while coaching team members on best practices.
  • Stay up-to-date with the latest developments in ML tools and frameworks, evaluating and integrating them into our tech stack.

Who you are:


We’re looking for ML professionals who are passionate about using machine learning to solve complex problems and improve user experiences. You thrive in fast-paced, high-growth environments and excel at collaborating across teams to bring ideas to life.Minimum Requirements:

  • 4+ years of industry experience in developing and deploying machine learning systems in production.
  • Expertise in Python and Node.js, with demonstrated experience in backend systems and API development.
  • Strong knowledge of AWS (SageMaker, Rekognition, etc.) and GCP ML tools (Vertex AI, AutoML, etc.).
  • Hands-on experience with MLOps practices, including CI/CD pipelines, versioning, and monitoring of ML models.
  • Proven track record in building scalable ML pipelines for streaming data and high-traffic systems.
  • Familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn and data tools such as Pandas and NumPy.
  • Strong problem-solving skills, with the ability to thrive in ambiguous situations and drive projects forward independently.

Preferred Qualifications:


  • Experience with advanced ML systems, including LLMs and RAG technologies.
  • Knowledge of distributed computing and large-scale system design principles.
  • Familiarity with agile development practices and working in collaborative cross-functional teams.
  • Advanced degree in a quantitative field such as Computer Science, Mathematics, or related disciplines.

Why join us?This role is a unique opportunity to shape the future of AI/ML at Verto while driving innovation in financial services for emerging markets. You’ll work in a collaborative, fast-paced environment, tackling meaningful challenges and making a tangible impact on businesses worldwide.If you’re ready to bring your expertise in machine learning to a company dedicated to transforming financial operations globally, we’d love to hear from you!

Life at Verto

A B2B Currency Marketplace. We are addressing the existing foreign exchange and payments challenges faced by businesses. We provide them with an online platform to exchange currencies with other businesses and make international payments to their suppliers. VERTO provides liquidity and price discovery tools for international businesses. The marketplace provides easy access to exotic and foreign currencies with seamless international online payment services.
Thrive Here & What We Value1. Passionate about helping businesses in Emerging markets reach the world.2. Mission to change how businesses transfer money in and out of Emerging Markets.3. Backed by world-class investors including Y-Combinator, Quona, and MEVP.4. Power payments for disruptive startups globally.5. Voted 'Fintech Start Up of the Year' at Fintech Awards London 2ranking

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