Sia
Management Consulting
AppliedAIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Applied AI Engineer at Sia. Skills: Generative AI, Data Science, MLOps, Prompt Engineering. Harness model capabilities. Implement algorithms”
What You'll Achieve.
Real-world impact; Value delivery threshold; Cost-effective way; Fast time to market; Confidence; Mitigate downside; Maximize opportunity; Deliver results; Transform outcomes
Industry & Context.
Sharp problem-solving skills; Issue resolution
What They're Looking For.
Must Have
Master's degree in computer science, Programming skills, Proficiency in Python, Experience in at least one major GenAI frameworks, Experience in NLP, Experience in NLU, Experience in vector embedding, Experience in semantic search, Experience in advanced prompting, Knowledge of proprietary and open-source ecosystems, Excellent communication skills, Sharp problem-solving skills, Ability to collaborate with diverse teams, Pioneering spirit, Commitment to continuous learning, Commitment to self-improvement, Speak French fluently, Speak professional English fluently
Nice to Have
Experience building creative AI solutions
What You'll Do.
Harness model capabilities
Implement business-centric solutions
Help customers find refinement level
Benchmark candidate FMs
Validate product ideas
Orchestrate AI workflow
Integrate model capabilities
Master infrastructure challenges
Master AI application frameworks
Drive adoption of GenAI
Understand business requirements
Design GenAI solutions
Build GenAI solutions
Assist Solution Architect
Comply with regulations
Design effective prompts
Balance simplicity and complexity
Enhance model capabilities
Improve user experience
Optimize model output accuracy
Retrieve relevant information
Create multimodal content
Raise value creation opportunity
Stay abreast of ethical considerations
Ensure responsible AI development
Ensure responsible AI deployment
Help navigate security process
Help navigate compliance process
Monitor model performance
Document methodologies
Document best practices
How You'll Work.
Team & Collaboration
Cross-functional consulting team; Data Scientists; ML Engineers; Platform Engineers; Business consultants; Internal teams; Customers
Communication Scope
Convey complex technical concepts
Full Job Description
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. We are seeking a skilled Generative AI Engineer to join our team where you will harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries. You will serve as a pivotal link between Data Scientists, ML and Platform Engineers to unleash the potential of Generative AI technology by implementing business-centric solutions. You will help customers find the appropriate level of refinement among semantic search, RAG, agents, and ultimately fine-tuning to reach their value delivery threshold in the most cost-effective way. Beyond crafting prompts, you will be responsible for designing and building ro
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