# Senior AI/ML Engineer Source: https://realanalystjobs.com/job/senior-ai-ml-engineer-artefact-c85d740d Senior AI/ML Engineer at Artefact, based in Jakarta, Jakarta, Indonesia. Experience level: 5+ Years. Posted on 16 April 2026, read from Artefact's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Artefact](https://realanalystjobs.com/companies/artefact) - Location: Jakarta, Jakarta, Indonesia - Posted: Apr 16, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Artefact's careers page (Greenhouse), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), AWS, Azure ## Visa sponsorship The posting does not say. Artefact had H-1B petitions approved for 1 worker in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/artefact#h1b-record) ## About this role Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges - from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities • Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. • Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. • Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. • Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. • Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. • Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards. Technical Requirements • Experience: 5+ years in Software Engineering, Data Science, or AI/ML development. • Core Programming: Mastery of Python and SQL ; familiarity with other languages (Java, C++, or Node.js) is a plus. • AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace . • Generative AI: Hands-on experience with LLMs , prompt engineering, fine-tuning, and vector embeddings. • Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure . • Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning). • Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph). Qualifications & Soft Skills • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field. • Communication: Fluency in English and the local regional language ( German or French ). Ability to explain complex technical concepts to non-technical business leaders. • Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment. • Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred. What to Expect • Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal). • A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget. • Opportunity to lead high-visibility projects within the first year. Description from Artefact's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-ml-engineer-artefact-c85d740d) and use Apply now there to reach the employer's application. The listing is re-checked against Artefact's careers page daily and removed when it closes. ## Artefact 9 open analyst roles on Real Analyst Jobs. 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