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As part of Data &amp; AI practice, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning products. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries. Responsibilities:<ul><li>Lead a technical team of 5-8 people and provide guidance to explore and implement new data methodologies, model building techniques, cutting-edge algorithms, and operationalization frameworks to solve real-world problems</li><li>Establish deep understanding and ability to remain at the forefront of AI and foundation models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)</li><li>Justify the value of innovative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, constructing methodologies that clearly demonstrate their value</li><li>Work collaboratively with teams (onshore and/or offshore) from both the business and technical side, including business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals</li></ul>show lessQualificationsWHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>Minimum of 5+ years of proven working experience in AI &amp; ML areas, leading a team of 5-8 people</li><li>Solid theoretical and hands-on knowledge of deep learning, neural networks, foundation models, NLP and/or Computer vision</li><li>Proficiency in AI &amp; ML scripting (such as Python) and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li><li>Strong program management and communication skills, both verbal and written</li><li>Ability to communicate results effectively and explain technical methodologies in non-technical audience</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Considered a plus (not a prerequisite):</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Familiarity with visualization tools (Power BI, Tableau) Experience in</li><li>Experience with containerization and orchestration tools</li><li>Experience in sales and business development</li><li>Ability to work as a team player in multinational project teams</li><li>Fluency in English (verbal and written)</li><li>All male candidates should have fulfilled their military obligations</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

AI/ML Science Manager

As an IT Risk Management Leader, you will be responsible for driving governance and oversight of Cyber, IT and OT risks across the organization, including third-party and cross-functional domains. You will act as a key enabler of risk-informed decision-making by identifying, assessing, and clearly communicating risks to business stakeholders and risk owners. This role requires strong business acumen and the ability to translate technical risk into strategic insights, fostering engagement and promoting a culture of risk awareness and accountability. You will also ensure timely, accurate, and actionable risk reporting to support executive and operational decision-making that support Cyber and IT risk objectives.YOUR KEY RESPONSIBILITIES:The successful candidate:• Works with cross-functional teams, external stakeholders, and business leaders to ensure baseline information protection controls are maintained in alignment with the risk management framework, while defining risk acceptance criteria and thresholds to support informed decisions on mitigation, transfer, or acceptance.• Analyzes technical implementation details to identify and evaluate risks against established security and governance standards, articulating risk implications in business-relevant terms and advising on appropriate mitigation strategies.• Ensure that all risk management activities are executed in alignment with the established IT/ Cybersecurity and OT Risk Management Frameworks, driving consistency across functions and supporting effective governance, including third-party and supply chain risk management processes.• Performs continuous identification and assessment of Cyber and IT risks.• Supports risk management activities based on key risk frameworks such as NIST Cybersecurity Framework (CSF) 2.0, ISO 27001.• Monitors risk remediation activities, measures, and report residual risks across Cyber and IT domains.• Create documentation, reports, and dashboards for a variety of audiences to facilitate security related decisions.• Supports the security training programs to promote awareness and risk management culture across the organization.ARE THESE YOUR SECRET INGREDIENTS?• Bachelor’s or master’s degree in computer science, Computer Engineering, Information Security, or a related field.• Extensive knowledge and at least 5 years of practical experience in the IT/Cyber Risk Management domain; experience or governance is an advantage.• Strong knowledge of frameworks such as NIST CSF 2.0, ISO/IEC 27000 family.• Strong ability to translate IT and Cyber risks into business context and communicate them effectively to cross-functional teams.• Excellent written and verbal communication skills in English.• Strong interpersonal and stakeholder engagement skills.• Proven ability to manage multiple priorities effectively, demonstrating strong organizational and project management skills.• Professional certifications such as CRISC, CISA, CISSP, CISM, are advantages.• Proven experience working internationally on complex assignments with various stakeholders.ABOUT YOUR NEW TEAM:We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don’t have the perfect experience. We have faith in what every person can be.And although we have so much to be proud of, we always stay humble. We believe the real magic happens – for us and for you – when we OPEN UP.AT COCA-COLA HBC, DIVERSITY HELPS US THRIVEAt Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.

IT Risk Management Leader

Our Client is seeking a visionary Senior Java Developer to serve as the Technical Lead and Architectural Owner for their mission-critical C4I system backend server. The ideal candidate will possess deep expertise in Java 11+, Spring Boot, and Microservices architecture, coupled with a proven track record in designing resilient, high-volume, low- latency systems. This role is responsible for governing the security, scalability, performance, and data integrity across the entire server ecosystem, including complex spatial and real-time data integration.Key Responsibilities: • System Architecture &amp; Resilience: Architect and lead the implementation of a scalable microservices architecture using Spring Boot, ensuring high availability and fault-tolerance. • Data Architecture &amp; Governance: Own the design and optimization of the core data layers, including developing strategies for MongoDB sharding and replication for high volume data, and defining the caching strategy using Java cache or Redis. • Multi-Protocol Integration Design: Define and govern the secure implementation of all client-server communication protocols, including high- throughput, low-latency communication via WebSocket and secure RESTful API contracts. • Security Strategy &amp; Data Integrity: Design and enforce comprehensive security measures using Spring Security, including defining policies for OAuth2/JWT access control, API security hardening, and mandating data integrity controls (e.g., audit trails, strong validation rules) for mission-critical data. • Complex External Integration: Architect and oversee the integration with critical external systems and specialized services (e.g., GeoServer integration via PostGIS), ensuring data synchronization, format translation, and system reliability across boundaries. • CI/CD and Deployment Governance: Own the operational adherence to Continuous Integration/Continuous Deployment (CI/CD) practices. This includes ensuring deployment automation, defining infrastructure-as-code requirements, and maintaining the stability and security of the production environment. • Technical Leadership &amp; Mentorship: Provide high-level technical guidance, mentor mid-level engineers in core Java concepts (concurrency, multi-threading), and enforce rigorous coding and design standards across the team.Qualifications: • Experience: Minimum of 5+ years of commercial experience in Java development, with 3+ years leading complex Spring Boot/Microservices projects. • Core Technology Mastery: Expert proficiency in Java 11+, Spring Boot, and designing scalable enterprise-level applications. • Data Expertise: Deep experience designing, optimizing, and maintaining MongoDB and utilizing Redis for caching, message brokering, and high-performance throughput. • Security &amp; Architecture: Proven ability to architect secure systems, experience with Spring Security, JWT/OAuth2, and a solid understanding of distributed transaction management. • Concurrency: Strong knowledge of multi-threading and concurrency concepts in Java. • Soft Skills: Exceptional communication, leadership, and architectural problem-solving skills with the ability to define technical solutions from ambiguous requirements.Benefits PackageThey are committed to investing in the well-being, professional growth, and overall satisfaction of their team members. As part of their benefits package, they offer:• Performance Bonus: Receive a performance-based bonus calculated as a percentage of your annual salary, rewarding your contributions and success. • Private Health Insurance: Comprehensive private health insurance coverage to safeguard your health and peace of mind. • Learning &amp; Development Budget: Access a dedicated budget for online courses, certifications, and professional development programs to support your continuous learning journey. • Vouchers &amp; Discounts: Enjoy vouchers for essential goods, services, and recreational activities to enhance your lifestyle. • Multifaceted Knowledge &amp; Internal Training: Take part in internal training programs designed to provide a holistic understanding of their business and industry. They emphasize cross-functional learning to empower you with diverse skills and knowledge.

Senior Java/Spring Boot Lead Engineer (Backend Architect)

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.You will lead multidisciplinary teams (onshore and offshore) to design and implement solutions using Python, PySpark, Databricks and modern cloud services, ensuring data flows are secure, reliable, performant, and well‑governed.Responsibilities:<ul><li>Lead and mentor a technical team (5–8 engineers) in designing and delivering data‑engineering solutions across cloud platforms (Azure/AWS/GCP).</li><li>Architect, develop, and optimize ETL/ELT pipelines using Python, PySpark, Databricks, and distributed processing frameworks.</li><li>Design and maintain scalable data architectures, including data lakes, lakehouses, warehouses, Delta tables, and semantic layers.</li><li>Establish best practices in data modelling (dimensional, wide‑table, data vault), data quality, metadata management, and data governance.</li><li>Collaborate with business owners, architects, product managers, and analytics teams to ensure end‑to‑end project delivery.</li><li>Define standards for data operations, monitoring, lineage, and CI/CD for data workloads.</li><li>Drive cloud platform adoption and modernization, ensuring solutions meet performance, cost‑efficiency, and compliance requirements.</li><li>Promote innovation by evaluating new data engineering tools, frameworks, and practices.</li><li>Mentor junior team members, providing guidelines to ensure high-quality deliverables.</li><li>Communicate complex technical solutions to senior management and diverse stakeholders effectively.</li><li>Contribute to sales activities through data and platform architecture expertise</li><li>Stay updated on industry trends and contribute to internal initiatives, R&amp;D, and business development projects.</li></ul>QualificationWHO WE’RE LOOKING FOR?<ul><li>BSc/MSc/PhD in Computer Science, Engineering, Information Systems, Data Management, or related field.</li><li>7+ years of experience in data engineering, with at least 2 years leading small technical teams.</li><li>Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.</li><li>Strong hands‑on expertise with Python, PySpark, and Databricks (including Lakehouse &amp; Databricks Workflows).</li><li>Experience designing and deploying data solutions on Azure, AWS, or GCP.</li><li>Strong understanding of data modelling techniques, data lifecycle management, and enterprise data principles.</li><li>Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).</li><li>Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery etc.) and lakehouses (Delta Lake, Apache Hudi)</li><li>Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.</li><li>Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.</li><li>Experience in project management frameworks such as Waterfall or Agile.</li><li>Solid experience with SQL and handling large datasets.</li><li>Familiarity with data governance frameworks (e.g., data quality controls, cataloging, lineage, roles &amp; policies).</li><li>Excellent communication skills—able to translate complex data concepts to both technical and non‑technical stakeholders.</li></ul>Considered a plus (not a prerequisite):<ul><li>Experience with Azure Data Factory, AWS Glue, or GCP Dataflow.</li><li>Experience with Microsoft Fabric solutions</li><li>Knowledge of Lakehouse architecture, Delta Live Tables, and Medallion design patterns.</li><li>Familiarity with CI/CD, DevOps, containerization (Docker/Kubernetes).</li><li>Exposure to data management tools (Purview, Collibra, Informatica, BigID, etc.).</li><li>Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache StreamSets).</li><li>Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.</li><li>Familiarity with containerization and orchestration tools like Docker and Kubernetes.</li><li>Understanding of API gateway and service mesh architectures (e.g., Istio).</li><li>Familiarity working with Linux-based operating systems.</li><li>Familiarity with working with REST APIs.</li><li>Experience in pre‑sales, solutioning, or client‑facing delivery leadership.</li><li>Fluency in English (verbal and written).</li><li>All male candidates should have fulfilled their military obligations.</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li></ul>

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ai/ml science manager

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it risk management leader

Coca-Cola HBC

senior java/spring boot lead engineer (backend architect)

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data engineering manager (data & ai)

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data engineering manager (data & ai)

Accenture

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