Senior ML Engineer

Jobgether; Brasil; Presencial; BRL 280 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off

Flexible scheduling

Partial medical insurance

Sports activities support

Language-learning support

International, agile team

Modern AI/ML tech

Full-time role

Resumo da oferta

Jobgether in Brazil is seeking a Senior ML Engineer to lead the development and productionization of AI/ML solutions for credit risk, fraud detection, collections, and conversion optimization. You will translate complex business challenges into robust, measurable AI systems and own end-to-end delivery from data prep through deployment.

You will collaborate with Risk, Product, Operations, and other teams to identify opportunities for ML value, explore LLMs, vision pipelines, RAG, and voice

Qualificações

• 7+ years of professional ML/DS experience, with 3+ years in credit-lending organizations.
• Experience delivering and productionizing PD models, credit-limit strategies, fraud-detection, conversions, or collections optimization.
• Strong COBOL and Python skills; SQL proficiency; understanding of risk processes.

Responsabilidades

• Design, train, validate, and deploy PD models and credit-limit strategies.
• Identify ML opportunities across collections, fraud, conversion, and operations.
• Engineer features from complex data and prepare inputs for modeling.
• Monitor models, evaluate performance, and drive business impact.
• Plan A/B tests to prove model effectiveness and revenue gains.
• Build CV pipelines for document/image processing in lending workflows.
• Develop LLM-based solutions including RAG and voice interfaces.
• Maintain documentation covering models, methodologies, and performance.
• Collaborate with Risk, Product, Operations, and others to translate goals.
• Maintain modeling environments across local, cloud, or on-premises infra.
• Communicate results to technical and business stakeholders.

Conhecimentos

COBOL programming

Python

SQL

LLM solutions

Computer Vision

Power BI

English proficiency

Ferramentas

Power BI

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Engineer based in Brazil.

This is a high-impact opportunity for a Senior ML Engineer to lead the development and productionization of machine-learning solutions across credit risk, fraud detection, collections, and conversion optimization. You will translate complex business challenges into robust, measurable AI/ML solutions that directly influence operational efficiency and revenue. The role combines hands-on modeling, data engineering, experimentation, deployment, and ongoing model stewardship. You will work closely with Risk, Product, Operations, and other teams to identify opportunities where machine learning can create meaningful business value. Beyond traditional ML, you will have opportunities to explore LLMs, computer vision, RAG, voice applications, and other emerging AI technologies. This role is ideal for an experienced builder who enjoys ownership, analytical problem-solving, and working in a fast-moving FinTech environment.

Accountabilities

• Design, train, validate, and deploy Probability of Default (PD) models and credit-limit strategies that support lending decisions.
• Identify and develop machine-learning opportunities across collections optimization, fraud prevention, conversion improvement, and operational efficiency.
• Analyze complex data sources, cleanse datasets, engineer meaningful features, and prepare high-quality inputs for modeling.
• Establish model monitoring processes and continuously evaluate model performance, stability, and business impact.
• Plan and execute A/B tests to measure the effectiveness of models and strategies and identify opportunities to improve revenue or efficiency.
• Build Computer Vision pipelines for document and image processing to automate lending workflows.
• Develop LLM-based solutions that streamline internal processes and enhance customer experiences, including applications involving commercial APIs, open-source models, RAG, and voice interfaces.
• Maintain comprehensive, accurate, and audit-ready documentation covering models, methodologies, assumptions, and performance.
• Collaborate with Risk, Product, Operations, and other stakeholders to translate business objectives into practical AI/ML solutions.
• Maintain and optimize modeling environments across local, cloud, or on-premises infrastructure.
• Communicate model results, insights, and recommendations clearly to technical and business stakeholders.
• Identify emerging AI/ML technologies and assess their potential to create measurable business value.

Requirements

• 7+ years of professional experience in Machine Learning or Data Science, including at least 3 years within credit-lending organizations.
• Proven experience delivering and productionizing Probability of Default models, credit-limit strategies, fraud-detection models, conversion-uplift solutions, and/or collections-optimization models.
• Strong proficiency in COBOL (Common Business-Oriented Language) programming is a key requirement for this position.
• Advanced Python skills with a strong understanding of modern machine-learning algorithms, feature engineering, and model evaluation techniques.
• Ability to write, structure, and optimize complex SQL queries.
• Deep understanding of the credit lifecycle, particularly online lending workflows and credit-risk processes.
• Demonstrated ability to source, cleanse, transform, and engineer features from complex datasets.
• Experience establishing and maintaining modeling environments across local, cloud, or on-premises infrastructure.
• Strong understanding of ML pipelines, production deployment, monitoring, and model lifecycle management.
• Experience with LLM solutions, including commercial APIs such as OpenAI or Anthropic, self-hosted open-source models, fine-tuning, RAG applications, or voice chatbots is a strong advantage.
• Experience developing Computer Vision models or pipelines for document and image processing is preferred.
• Experience creating executive dashboards and model reporting using Power BI is a plus.
• Strong attention to detail, accountability, ownership, and commitment to achieving individual and team objectives.
• Strong analytical, problem-solving, and cross-functional collaboration skills.
• English proficiency at B1 level or higher.

Benefits

• Opportunity to join a fast-scaling FinTech environment where your technical decisions can directly influence business performance.
• 20 paid days off annually.
• Flexible working arrangements and scheduling.
• Partial compensation for medical insurance.
• Partial support for sports activities.
• Partial support for foreign-language learning.
• International, agile, and collaborative team environment.
• Opportunity to work with modern AI/ML technologies on high-impact business challenges.
• Full-time position within a team focused on ambitious goals and measurable outcomes.