senior machine learning engineer remote
28 Ιουλ 2026 · EPAM Global
Τι θα κάνεις
- Design and implement machine learning solutions for specific business needs
- Leverage data science techniques, machine learning methods, and generative AI to extract insights
- Build, deploy, and optimize ML pipelines including feature generation and model retraining
- Interpret analytical results and translate them into actionable strategies for stakeholders
- Collaborate with organizational teams to gather requirements and deliver ML solutions
- Research and integrate emerging ML and AI technologies
- Document workflows, algorithms, and findings for reproducibility and knowledge sharing
Βασικές προϋποθέσεις
- 3+ χρόνια εμπειρίας
- Expertise in Python, SQL, Scikit-learn, Pandas, and PyTorch
- Strong knowledge of Machine Learning Algorithms and Statistical Methods including regressions and clustering
- Experience with Generative AI and ML Pipelines development and deployment
- Proficiency in Data Science Techniques and Data Visualization Tools
- Excellent Problem-Solving Skills and Communication Skills
- Collaboration skills and English Language Proficiency
- Computer Science / Artificial Intelligence / Machine Learningκατά προτίμηση
Παροχές
- Ευκαιρίες απομακρυσμένης και υβριδικής εργασίας·
- επιλογή εργασίας από κεντρικά γραφεία στην Αθήνα·
- παρεχόμενο εταιρικό λάπτοπ·
- ιδιωτική ασφάλιση υγείας·
- κουπόνια γευμάτων·
- μηνιαία κάρτα αστικών συγκοινωνιών·
- πολυάριθμες ευκαιρίες αυτο-ανάπτυξης και πιστοποίησης.
Περιγραφή Θέσης
We are looking for a highly skilled Senior Machine Learning Engineer to design and implement machine learning models and systems that address complex challenges and drive meaningful business outcomes. You will play a critical role in extracting insights from data, building advanced pipelines, and leveraging generative AI to develop impactful solutions. This position combines technical proficiency, innovative thinking, and collaboration to deliver scalable results aligned with organizational goals.
The remote option applies only to the Candidates who will be working from any location in Greece.
#LI-DNI#LI-YAROSLAVADIAKOVA
Responsibilities
Design and implement machine learning solutions tailored to domain-specific business needs
Leverage data science techniques, classical machine learning methods, and generative AI to extract actionable insights
Build, deploy, and optimize ML pipelines, addressing feature generation, model evaluation, retraining, and automation
Interpret analytical results and model outputs, translating them into clear, actionable strategies for stakeholders
Collaborate with teams across the organization to gather requirements and deliver impactful machine learning solutions
Research and integrate emerging ML and AI technologies to improve processes and systems
Document workflows, algorithms, and findings to support reproducibility and knowledge sharing
Requirements
3+ years of hands-on experience applying data science and machine learning techniques to solve real-world problems
Strong ability to define business problems and design ML-driven solutions with an analytical focus
Expertise in Python and SQL, with proficiency in frameworks such as Scikit-learn, Pandas, and PyTorch
Solid understanding of statistical methods, machine learning algorithms, and advanced techniques like deep learning or LLMs (Large Language Models)
Experience applying statistical concepts such as regressions, A/B tests, clustering, and probability to business challenges
Skills in storytelling through data visualization tools like Tableau, R-Shiny, Streamlit, or Looker
Excellent communication skills, with the ability to present technical concepts to both technical and non-technical audiences
Proven problem-solving skills with the ability to independently manage and take ownership of projects
Collaborative mindset with experience working in cross-functional teams to align objectives and deliver results
Excellent command of written and spoken English (B2+ level)
Nice to have
Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related field
We offer
For your comfortable work:
Remote and hybrid work opportunities
Option to work from our centrally located office in Athens
Corporate laptop provided
Option to work on your own device
Private health insurance
Meal vouchers / restaurant tickets
My Benefit card (264€/year)
Monthly public transportation card
For your growth:
Global and diverse client portfolio, large-scale projects, and trendy technologies
Diverse multicultural, multi-functional, and multilingual work environment
Opportunity to contribute to internal and open-source products
Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
Possibility to create a Personal Development Plan from the first day in the company
Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
Certification opportunities
Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
Language courses
