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We are looking for an AI Delivery Manager to lead end-to-end delivery of AI and Data projects — from discovery to production. You will be accountable for project success, combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies. You will focus on three categories of projects: GenAI Product development, ML Product development and AI Platform enablement.Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate with top experts, and shape the next generation of intelligent solutions.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Act as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered value.</li><li>Manage full lifecycle of AI initiatives (GenAI, ML).</li><li>Own delivery scope, schedule, quality, and budget.</li><li>Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders.</li><li>Act as main delivery contact for clients; build trusted relationships</li><li>Oversee risk, financials, and contract adherence.</li><li>Ensure compliance with legal, ethical, and security standards in AI.</li><li>Mentor team members and promote delivery excellence and engineering excellence</li></ul>Requirements<ul><li>Strong client-facing, risk management, and stakeholder communication skills.</li><li>3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)</li><li>3+ years of previous experience as engineer (e.g., data scientist, machine learning engineer, data engineer, devops, python engineer)</li><li>Solid understanding of GenAI and ML technologies, and data management fundamentals.</li><li>Experience with at least one major cloud provider (AWS, Azure, GCP, Databricks).</li><li>Ability to lead cross-functional, distributed teams.</li><li>Ability to enforce engineering excellence and closely work with solution architects</li><li>Knowledge of the Greek language is a must</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Data Delivery Manager

We are searching for a&nbsp;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Software Engineer Remote

We are searching for a&nbsp;Lead Data Software Engineer&nbsp;to join our team and oversee the development of our cutting-edge supply-chain data analytics platform.This platform delivers a comprehensive view of suppliers, products, material categories, shipments, and compliance activities while employing artificial intelligence to generate insights and recommendations tailored to our clients’ needs.If this role excites you – apply!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines utilizing Databricks and external orchestrators such as Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Develop system-level improvements and components for data engineering workflows</li><li>Optimize the performance and scalability of data-intensive applications</li><li>Adhere to software engineering standards, including containerization, unit testing, linting, and code style reviews</li><li>Maintain and improve data workflow, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and leadership to the data engineering team</li><li>Engage with clients and stakeholders to understand their requirements and offer customized solutions</li><li>Tackle challenges independently and ensure successful project delivery</li></ul>Requirements<ul><li>Experience leading data engineering efforts on projects utilizing Databricks</li><li>Solid understanding of data architectures and skills in data modeling</li><li>Background in designing and building ETL pipelines in Databricks with external orchestrators such as Airflow</li><li>Hands-on expertise in Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Proficiency in Python and cloud-native technologies</li><li>Competency in Spark/PySpark</li><li>Engineering experience with either AWS or Azure</li><li>Knowledge of big data and techniques for optimizing data-intensive applications</li><li>Strong communication skills with a proactive attitude and client-facing experience</li><li>Ability to navigate ambiguity and complete projects independently</li><li>Comfort working in a dynamic and transparent startup environment</li><li>Fluent English communication skills at a C1 level</li></ul>Nice to have<ul><li>Proficiency in configuring and managing CI/CD pipelines in Azure DevOps</li><li>Familiarity with Data Observability and Data Quality Monitoring practices</li><li>Capability to integrate data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Θέσεις Εργασίας Category Manager Ελλάδα, Πληροφορική

data delivery manager

EPAM Global

senior data software engineer remote

EPAM Global

lead data software engineer (databricks)

EPAM Global

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