Работа Machine Learning Engineer в София
75 нови обяви за работа
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Пълно работно време Постоянна работа Senior Machine Learning Engineer Shape the future of banking by building production ML models that directly impact how customers experience DSK Bank. Your models will power Next Best Offer recommendations, optimize pricing strategies, detect fraud a...
- Пълно работно време Постоянна работа
Senior Machine Learning Engineer Shape the future of banking by building production ML models that directly impact how customers experience DSK Bank. Your models will power Next Best Offer recommendations, optimize pricing strategies, detect fraud a...
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solution...
- Пълно работно време Постоянна работа Дистанционно интервю
Postbank has over 35-year presence as one of the leaders in Bulgaria’s banking sector. The bank is a decisive factor in innovation, in shaping the country’s banking trends in recent years and award-winning for its innovation. AI Platform Enginee...
- Пълно работно време Постоянна работа Дистанционно интервю
Postbank has over 35-year presence as one of the leaders in Bulgaria’s banking sector. The bank is a decisive factor in innovation, in shaping the country’s banking trends in recent years and award-winning for its innovation. AI Platform Enginee...
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solution...
- Пълно работно време Постоянна работа Възможност за работа от вкъщи
We are: Bulwork is the first IT & TELCO Recruitment agency in Bulgaria with 25 years of stable presence in the market. The company has established a reputation for delivering high-quality services to clients and candidates. We respect the candidates...
- Пълно работно време Постоянна работа
Job Title: Data Scientist (Junior/Mid-Level) Location: Sofia, Bulgaria Department: Machine Learning Reports To: Head of Machine Learning Department Employment Type: Full-Time Working Model: Hybrid ________________________________________ About Us MFG...
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4,250 лв - 4,550 лв / месец (нето) от работодател Пълно работно време Постоянна работа Възможност за работа от вкъщи UpSkill is a recruitment agency ready to go the extra mile to help candidates find the best possible job opportunity. Our team of experts is well-versed and experienced in consulting and providing long-term HR support. We believe that being friendly...
- Пълно работно време Постоянна работа
Founded in 2021, Alphawin specializes in providing exceptional online casino and sports betting experiences. Over the past year, the company has expanded its offerings to include physical betting shops, bringing its services beyond the digital sphere...
- Пълно работно време Постоянна работа
Junior IT Business Analyst Ние сме Cash Credit – компания с водеща позиция в кредитирането. Отличаваме се с иновативен подход към бизнеса, технологични р...
- Пълно работно време Постоянна работа Възможност за работа от вкъщи Дистанционно интервю
Senior Data Analytics Specialist – ICFR Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, pro...
- Пълно работно време Постоянна работа Възможност за работа от вкъщи Дистанционно интервю
We’ve been turning job searches into exciting new beginnings for 19 years! With offices in Bulgaria and Serbia, we connect top talent with leading Bulgarian and international companies. We believe in helping people grow into their best selves, and ...
- Пълно работно време Постоянна работа
HMG LINKS Ltd is a local multi-sector recruitment company focused on tailor-made solutions for its partners’ human resources needs. We strongly believe in an honest and ethical approach to recruitment. Data and tools? You are an analytical thinker...
- Пълно работно време Постоянна работа Възможност за работа от вкъщи Дистанционно интервю
Mid or Senior Data Engineer Sofia/hybrid Highly competitive salary and bonus and unbeatable benefits package Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond. Having...
Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
Senior Machine Learning Engineer
Shape the future of banking by building production ML models that directly impact how customers experience DSK Bank. Your models will power Next Best Offer recommendations, optimize pricing strategies, detect fraud and AML risks, and enable personalized financial services for thousands of customers. Working in a startup-like environment within a leading bank, you'll take ownership of the entire ML lifecycle—from problem framing to production deployment and monitoring—knowing your work ships to real users and drives measurable business outcomes. You'll contribute to building the ML platform itself, making it easier for the entire team to deliver world-class AI solutions.
General duties:
Develop, deploy, and maintain production-grade ML models for business-critical use cases including Next Best Offer/Action, pricing optimization, anti-fraud detection, and AML (Anti-Money Laundering) models.
Own the end-to-end ML lifecycle: problem framing, data exploration, feature engineering, model training and validation, deployment, monitoring, and continuous improvement.
Design and implement robust model monitoring and retraining pipelines to ensure model performance over time.
Collaborate with Data Engineers and Software Engineers to integrate ML models into production systems and streaming/batch pipelines.
Contribute to the design and improvement of the in-house ML platform to enhance productivity and model deployment efficiency.
Work with stakeholders across the bank to understand business requirements and translate them into ML solutions.
Ensure models meet governance, compliance, and audit requirements; maintain documentation and model cards.
Requirements
Must have
3+ years of hands-on experience in ML engineering or data science roles.
Strong foundation in mathematics, statistics, ML algorithms, metrics, and loss functions.
Advanced expertise in Python and ML ecosystem (NumPy, pandas, scikit-learn).
Strong SQL skills for data manipulation and analysis.
Verbal and written English at Upper Intermediate level (B2+) or above.
Nice to have
Proven track record of deploying models to production.
Experience with gradient boosting libraries (XGBoost, CatBoost, LightGBM).
Spark skills, including complex joins, subqueries, CTEs, window functions, and large-scale data processing.
Experience with ML lifecycle tools such as MLflow, Azure Databricks, or similar platforms.
Proficiency in writing clean, efficient, scalable, and maintainable Python code.
Experience with model deployment, monitoring, and MLOps best practices.
Understanding of model validation, A/B testing, and evaluation metrics.
Experience with LLM-based applications or agentic AI frameworks (LangChain, LangGraph).
Familiarity with deep learning frameworks (PyTorch, TensorFlow, Keras).
Experience with workflow orchestration tools (Airflow, Prefect).
Knowledge of real-time model serving and streaming ML pipelines.
Experience in banking, fintech, or highly regulated industries.
Familiarity with Azure cloud services and Kubernetes.
What we offer to you:
Excellent opportunities for professional and career development in one of Bulgaria’s leading banks;
Food vouchers in the amount of 102.26 EUR per month;
25 paid holiday leave;
Additional Health Insurance;
Favorable conditions for housing and mortgage lending, as well as for bank products and services;
Annual bonus scheme depending on the achieved results;
Preferential conditions for Multisport / CoolFit card;
Great location;
Discounts in various companies;
Professional trainings for specific knowledge and skills (internal academies);
Refer a Friend Bonus.
If you are challenged by this opportunity, we would be glad to review your application.
Shape the future of banking by building production ML models that directly impact how customers experience DSK Bank. Your models will power Next Best Offer recommendations, optimize pricing strategies, detect fraud and AML risks, and enable personalized financial services for thousands of customers. Working in a startup-like environment within a leading bank, you'll take ownership of the entire ML lifecycle—from problem framing to production deployment and monitoring—knowing your work ships to real users and drives measurable business outcomes. You'll contribute to building the ML platform itself, making it easier for the entire team to deliver world-class AI solutions.
General duties:
Develop, deploy, and maintain production-grade ML models for business-critical use cases including Next Best Offer/Action, pricing optimization, anti-fraud detection, and AML (Anti-Money Laundering) models.
Own the end-to-end ML lifecycle: problem framing, data exploration, feature engineering, model training and validation, deployment, monitoring, and continuous improvement.
Design and implement robust model monitoring and retraining pipelines to ensure model performance over time.
Collaborate with Data Engineers and Software Engineers to integrate ML models into production systems and streaming/batch pipelines.
Contribute to the design and improvement of the in-house ML platform to enhance productivity and model deployment efficiency.
Work with stakeholders across the bank to understand business requirements and translate them into ML solutions.
Ensure models meet governance, compliance, and audit requirements; maintain documentation and model cards.
Requirements
Must have
3+ years of hands-on experience in ML engineering or data science roles.
Strong foundation in mathematics, statistics, ML algorithms, metrics, and loss functions.
Advanced expertise in Python and ML ecosystem (NumPy, pandas, scikit-learn).
Strong SQL skills for data manipulation and analysis.
Verbal and written English at Upper Intermediate level (B2+) or above.
Nice to have
Proven track record of deploying models to production.
Experience with gradient boosting libraries (XGBoost, CatBoost, LightGBM).
Spark skills, including complex joins, subqueries, CTEs, window functions, and large-scale data processing.
Experience with ML lifecycle tools such as MLflow, Azure Databricks, or similar platforms.
Proficiency in writing clean, efficient, scalable, and maintainable Python code.
Experience with model deployment, monitoring, and MLOps best practices.
Understanding of model validation, A/B testing, and evaluation metrics.
Experience with LLM-based applications or agentic AI frameworks (LangChain, LangGraph).
Familiarity with deep learning frameworks (PyTorch, TensorFlow, Keras).
Experience with workflow orchestration tools (Airflow, Prefect).
Knowledge of real-time model serving and streaming ML pipelines.
Experience in banking, fintech, or highly regulated industries.
Familiarity with Azure cloud services and Kubernetes.
What we offer to you:
Excellent opportunities for professional and career development in one of Bulgaria’s leading banks;
Food vouchers in the amount of 102.26 EUR per month;
25 paid holiday leave;
Additional Health Insurance;
Favorable conditions for housing and mortgage lending, as well as for bank products and services;
Annual bonus scheme depending on the achieved results;
Preferential conditions for Multisport / CoolFit card;
Great location;
Discounts in various companies;
Professional trainings for specific knowledge and skills (internal academies);
Refer a Friend Bonus.
If you are challenged by this opportunity, we would be glad to review your application.
Средна заплата за сектора
6,050 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
минимална
700 лв / месец
максимална
14,850 лв / месец
Мнения и оценки от служители
3.2
Добра 
2.2
2.5
2.3
1.8
2.3
2.0
3.8
2.0
2.3
2.0
2.0
Дизайнер на интелигентни икт системи/дизайнерка на интелигентни икт системи
Дизайнерите на интелигентни ИКТ системи прилагат методи на изкуствен интелект в областта на инженерството, роботиката и компютърните науки, за да разработят програми, които симулират интелигентността, включително модели на мислене, когнитивни системи и системи, основани на знанието, системи за решаване на проблеми и вземане на решения. Те също така интегрират структурираните знания в компютърни системи (онтологии, бази със знания) с цел решаване на сложни проблеми, които обикновено изискват високо ниво на експертни човешки знания или методи за изкуствен интелект.
Необходими основни умения
- използване на техники за обработване на данни
- проектиране на процес
- анализиране на големи информационни масиви
- развиване на творчески идеи
- създаване на набори от данни
- анализиране на бизнес изисквания
Необходими основни знания
- информационна структура
- развитие и жизнен цикъл на системи
- информационна архитектура
- компютърно програмиране
- проучване на данни
- техники за визуално представяне
Финален преглед
Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .
Вие се съгласявате с общите условия на Yox. При натискане на кандидатствай: 1) вие се съгласявате с общите условия на Yox, Политиката за Поверителност и Политиката на използване на бисквитките. Съгласявате се и разрешавате вашето резюме да може да бъде изпратено към работодателя (не е гарантирано получаване) и да продължи да се обработва и анализира съгласно нашите условия и политики. Натискайки „Изпрати“се съгласяваш с на Yox.bg
Честито, вашето резюме беше изпратено успешно!
При интерес от работодателя очаквайте връзка на посочените от вас контакти.