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HomeCompaniesMdfinanceSenior ML Engineer

Senior ML Engineer

Mdfinance · Active · BambooHR

Job facts

FieldValue
CompanyMdfinance
TitleSenior ML Engineer
Normalized title-
Department / teamRisk
Location-
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-16 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mdfinance.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Risk.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMdfinance
Source4f663283-2650-46e4-963f-09baf09e4659
ATS providerBambooHR

Description

The Senior ML Engineer will spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions that power credit-risk, collections-strategy, conversion-optimisation, and fraud-detection processes in MD Finance. Working hand-in-hand with Risk, Product, Operational and other teams, the role will translate business goals into robust models, ensure their ongoing performance, and identify new AI/ML opportunities that raise the company’s bottom line. Professional qualifications 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations. Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models. Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices. Ability to write, structure, and optimise complex SQL queries. Deep understanding of the credit lifecycle, especially online lending workflows. Proven skill in sourcing, cleansing, and generating features from data sets. Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem). Detail-oriented, accountable, and committed to both team and individual targets. English: Intermediate (B1) or higher. But the most important skill for this position is a proficiency with COBOL (Common Business-Oriented Language) programming language! Preferred / bonus qualifications Practical experience with LLM solutions: Using commercial APIs (e.g., OpenAI, Anthropic, etc.). Self-hosting of open-source models Fine-tuning of open-source models. Building voice chatbots. Building RAG chatbots. Experience with Computer Vision models for document or image processing. Building ML pipelines and deploying models to production. Creating executive dashboards and model reports in Power BI. Main responsibilities Design, train, and deploy probability of default models. Build credit-limit strategies. Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc. Analyse data sources and engineer features for modelling. Produce and update internal model documentation. Implement model monitoring. Plan and execute A/B tests. Build Computer Vision pipelines to automate lending workflows. Develop LLM-based solutions that streamline internal processes or enhance customer experience. Expected results Implemented probability of default models and credit-limit strategies. Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company. Thorough, audit-ready documentation for models. What We Offer Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter. Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture. Partial compensation for medical insurance, sports activities, and foreign language. Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.

Full job record

Job ID38d012ae186801384fa09dc49228fa7e4556e0c9
Org IDecbb24c2-c61a-4c7c-90e8-350ae191efff
Source ID4f663283-2650-46e4-963f-09baf09e4659
Board ID4f663283-2650-46e4-963f-09baf09e4659
Providerbamboohr
Provider Job Key50
TitleSenior ML Engineer
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentRisk
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://mdfinance.bamboohr.com/careers/50
Apply URLhttps://mdfinance.bamboohr.com/careers/50
First Seen At2026-05-30 05:48:40Z
Last Seen At2026-06-06 10:19:47Z
Last Checked At2026-06-06 10:19:47Z
Last Changed At2026-05-30 05:48:40Z
Inactive At
Source Posted At2026-04-16 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mdfinance/date=2026-06-06/2026-06-06T10-19-45-767Z-0b4065504c504356dc5cc330255aff244c6a3d959f5dcd266c47c265853410cf.json
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    "description": "<p>The Senior ML Engineer will spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions that power credit-risk, collections-strategy, conversion-optimisation, and fraud-detection processes in MD Finance. Working hand-in-hand with Risk, Product, Operational and other teams, the role will translate business goals into robust models, ensure their ongoing performance, and identify new AI/ML opportunities that raise the company’s bottom line.</p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Professional qualifications<br></span></p>\n<ul>\n<li>7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations.</li>\n<li>Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models.</li>\n<li>Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices.</li>\n<li>Ability to write, structure, and optimise complex SQL queries.</li>\n<li>Deep understanding of the credit lifecycle, especially online lending workflows.</li>\n<li>Proven skill in sourcing, cleansing, and generating features from data sets.</li>\n<li>Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem).</li>\n<li>Detail-oriented, accountable, and committed to both team and individual targets.</li>\n<li>English: Intermediate (B1) or higher.<br><span style=\"color: rgb(255, 255, 255)\">But the most important skill for this position is a proficiency with COBOL (Common Business-Oriented Language) programming language!</span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Preferred / bonus qualifications</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Practical experience with LLM solutions:</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Using commercial APIs (e.g., OpenAI, Anthropic, etc.).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Self-hosting of open-source models</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Fine-tuning of open-source models.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Building voice chatbots.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Building RAG chatbots.</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience with Computer Vision models for document or image processing.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Building ML pipelines and deploying models to production.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Creating executive dashboards and model reports in Power BI.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Main responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Design, train, and deploy probability of default models.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Build credit-limit strategies.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Discover and scope AI/ML opportunities that boost efficiency and revenue of the </span><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">company, including collections optimisation, fraud control, conversion lift, etc.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Analyse data sources and engineer features for modelling.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Produce and update internal model documentation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Implement model monitoring.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Plan and execute A/B tests.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Build Computer Vision pipelines to automate lending workflows.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Develop LLM-based solutions that streamline internal processes or enhance </span><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">customer experience.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Expected results</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Implemented probability of default models and credit-limit strategies.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; 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