The company is a specialist consulting firm focused on "Everything Data" – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. We are part of a strategic alliance with another firm, aiming to become one of EMEA’s largest Data & Analytics consulting firms. Our services leverage market-leading technology platforms, delivered by a dynamic team of expert consultants.
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As a Lead AI/ML Engineer, you will collaborate directly with business leadership to translate a backlog of use cases into delivered value. Your role will encompass both building and co-owning a portfolio, delivering production-grade ML solutions where beneficial, and integrating existing group AI platforms.
Key Responsibilities:
- End-to-End Implementation: Manage the process from problem framing through to data pipeline, model deployment, and monitoring. Initial focus areas may include artificial-lift predictive maintenance and well-control optimization.
- AI/ML Use-Case Portfolio: Co-own the technical aspects of the use-case backlog, assessing feasibility, effort, timeline, and technical risk, while proposing sequencing and decisions on scope.
- Stakeholder Translation: Partner with various teams to translate business challenges into technical specifications, and convey technical results back into operational actions.
What We Expect From You:
- Experience: 8+ years in building and deploying production ML & AI systems, particularly in industrial or energy sectors.
- Technical Skills: Proficient in Python, data engineering (Spark/Databricks), classical ML methods, and fundamentals of MLOps.
- Cloud Fluency: Experience with either Microsoft Azure or other major cloud platforms.
- Communication: Strong ability to communicate technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience in upstream oil and gas production, artificial lift, predictive maintenance, or similar domains.
- Familiarity with large-enterprise digital governance frameworks and AI/ML operating models is a plus.
What You Can Expect:
- An agile company culture with an international and collaborative team.
- Structured onboarding and continuous development programs.
- Competitive benefits including health insurance and 25 vacation days.
Work Conditions: On-site, Full-time
Language Requirements: Not explicitly stated, but strong communication skills with business stakeholders are essential.
