Senior AI Consultant

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. We specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations.

We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation. Our learning culture and flat hierarchy are our recipes for success.

What to expect, your benefits

Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer’s offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi.

Key Accountabilities

• Accountable for providing hands-on technical knowledge, while managing client relationships within the project context.
• Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
• Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards.

Key Responsibilities

• Capture client requirements and lead the development of solution architectures that meet both current and future business needs.
• Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions.
• Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).
• Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning.
• Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps.
• Run experiments and monitor performance of machine learning solutions using tools such as Azure ML, and Azure Application Insights.
• Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed.
• Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services.

Qualifications

• Demonstrable experience in data science, machine learning, or a related field.
• Proficiency in Python, SQL, or other programming languages for data analysis and machine learning.
• Experience with cloud platforms and services, preferably Azure, for data science and machine learning.
• Experience with one or more generative AI and LLM frameworks and tools.
• Experience with machine learning concepts and techniques and Deep Learning.
• Experience with data visualisation and storytelling tools and techniques.
• Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices.
• Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services.
• Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
• Excellent communication, collaboration, stakeholder management, and problem-solving skills.
• Familiarity with the Microsoft Copilot stack.
• Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus.
• Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.