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For Companies At a Glance
- Tasks: Lead AI projects, analyse client needs, and deliver innovative tech solutions.
- Company: Join Hitachi Solutions, a global leader in digital transformation and Microsoft partner.
- Benefits: Enjoy competitive pay, remote work flexibility, and a strong focus on work/life balance.
- Why this job: Be part of a collaborative culture that values innovation and personal growth.
- Qualifications: Experience in data science, machine learning, and proficiency in Python or SQL required.
- Other info: Opportunity to work with cutting-edge AI technologies and tools.
The predicted salary is between 48000 - 84000 £ per year.
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 are committed to Microsoft technologies, with a mission to revolutionise modern businesses.
We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation. Through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success.
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.
- Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
- 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.
Lead AI Consultant employer: Hitachi Vantara Corporation
Contact Detail:
Hitachi Vantara Corporation Recruiting Team
notification@smartrecruiters.com
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to Azure services. This will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with current employees or alumni from Hitachi Solutions. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the challenges faced, and how you overcame them, as this showcases your problem-solving skills.
✨Tip Number 4
Brush up on your communication skills, particularly in presenting technical information to non-technical stakeholders. Being able to convey complex ideas simply is crucial for a Lead AI Consultant role.
We think you need these skills to ace Lead AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, data science, and machine learning. Use keywords from the job description to demonstrate that you meet the qualifications and competencies required for the Lead AI Consultant role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Hitachi Solutions' mission. Mention specific projects or experiences that align with the responsibilities outlined in the job description, particularly in client relationship management and solution architecture.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python and SQL, as well as your experience with Azure services. Provide examples of how you've applied these skills in previous roles to solve business problems.
Highlight Soft Skills: Don't forget to mention your communication, collaboration, and problem-solving skills. These are crucial for the Lead AI Consultant position, so provide examples of how you've successfully managed stakeholder relationships and led teams in past projects.
How to prepare for a job interview at Hitachi Vantara Corporation
✨Showcase Your Technical Expertise
As a Lead AI Consultant, it's crucial to demonstrate your hands-on technical knowledge. Be prepared to discuss specific projects where you've applied machine learning or data science techniques, and how you used tools like Azure Machine Learning or Databricks to achieve results.
✨Understand the Business Context
Make sure you can articulate how AI solutions can solve real business problems. Research Hitachi Solutions' previous projects and be ready to discuss how you would approach similar challenges, focusing on client needs and potential outcomes.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex AI concepts in simple terms, as you'll need to present findings to stakeholders. Use examples from your past experiences to illustrate your points.
✨Emphasise Collaboration and Team Spirit
Hitachi Solutions values teamwork and collaboration. Be prepared to share examples of how you've successfully led teams or collaborated with others in a consulting environment. Highlight your ability to foster a positive team culture and drive project success.
