Generative AI Consultant

Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. Youll act as a vital bridge between technical teams (Data Science ML Platform) to deliver business-centric AI value. Youll guide clients on the optimal pathusing techniques like RAG agents or fine-tuningfor cost-effective impact. 

Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking prototyping and validation. Youll orchestrate the full AI workflow ensuring seamless model integration optimized for performance security and scale while tackling infrastructure challenges. We provide extensive training to support your success. If youre driven to push AI boundaries and help clients rapidly adopt GenAI with confidence apply to make a real difference. 

Responsibilities: 

• LLM/GenAI System Development:Design build train fine-tune and deploy sophisticated AI models leveraging LLMs (e.g. GPT-x Claude Gemini Llama Mistral) and other generative techniques. 
• Assist in Solution Architecture:Support the GenAI Solution Architect in designing robust scalable and secure applications. 
• Application Development:Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR EU AI Act model licenses etc.). 
• Advanced Prompt Engineering:Design and optimize effective prompts (e.g. few-shot Chain/Tree/Graph of Thought ReAct Self-reflection guardrails) balancing simplicity and complexity to enhance analytical capabilities refine outputs improve user experience and control interactions. 
• RAG Implementation:Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources providing traceability (source attribution). 
• Model Selection & Fine-Tuning:Select and fine-tune appropriate models (including multimodal - VLM SLM - Visual Language Models Small Language Models) to create higher-quality content (text image audio code etc.) and maximize business value creation opportunities. 
• Integration & Deployment (MLOps):Implement MLOps best practices for the GenAI lifecycle including automated pipelines (CI/CD) versioning monitoring and maintenance in production environments (Cloud platforms like AWS Azure GCP). Ensure seamless integration into existing systems and with external tools/APIs potentially utilizing standardized protocols (MCP). 
• Evaluation & Responsible AI:Develop and execute rigorous evaluation frameworks to measure model performance reliability fairness and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes. 
• Research & Innovation:Stay abreast of the latest advancements in GenAI techniques technologies and frameworks. Experiment with new approaches and contribute to internal knowledge sharing. 
• Collaboration:Work effectively within cross-functional teams communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical). 
• Documentation:Document processes methodologies and best practices for knowledge sharing and future reference. 
• Use Case Differentiation:Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g. NER sentiment analysis). 

Qualifications :

Education:

• Masters degree or Engineering degree (or equivalent) in Computer Science Engineering Data Science or a related quantitative field. 
• Experience:1-3 years of hands-on experience in machine learning software engineering or data science with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI. 

Required Technical Skills: 

• Strong programming skills particularly inPython. 
• Proficiency in at least one major GenAI application framework (LangChain LlamaIndex etc.). 
• Proven experience inNLP/NLUvector embeddings andsemantic search. 
• Hands-on experience withfine-tuningLLMs. 
• Mastery ofadvanced prompting techniques(Chain/Tree/Graph of Thought ReAct etc.). 
• Knowledge of both proprietary and open-source model ecosystems (OpenAI Anthropic Mistral AI Hugging Face models hosted on AWS/Azure/GCP etc.). 
• Experience with Cloud platforms (AWS Azure or GCP) and their associated MLOps/AI services. 
• Familiarity withMLOps principles CI/CD toolsDocker andGit. 

Soft Skills: 

• Excellent communication skills (written and verbal) ability to explain complex technical concepts simply. 
• Strong analytical and complex problem-solving abilities. 
• Team player with the ability to collaborate effectively with diverse profiles. 
• Curiosity pioneering spirit and a demonstrated commitment to continuous learning. 

Preferred Qualifications: 

• Experience building agentic AI systems (e.g. LangGraph AutoGen). 
• Experience with vector databases (e.g. pgvector Pinecone Chroma OpenSearch). 
• Experience developing conversational AI systems / chatbots. 
• Familiarity with deep learning frameworks (PyTorch TensorFlow). 
• Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases such as Model Context Protocol (MCP). 
• Experience deploying models at scale in production environments. 

Additional Information :

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 
 

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Description résumée du poste en français:

Nous recherchons un conseiller en IA générative pour rejoindre son équipe AI & Data au cœur des projets dinnovation du cabinet. Le rôle consiste à concevoir déployer et mettre en production des solutions GenAI à fort impact pour des clients issus de secteurs variés.

Le ou la spécialiste interviendra sur lensemble du cycle de vie des solutions IA :
choix des modèles prompt engineering avancé architectures RAG fine-tuning intégration et MLOps tout en assurant performance sécurité conformité et IA responsable.

Le poste implique une forte collaboration avec les équipes Data ML plateformes et business ainsi quun rôle-conseil auprès des clients pour identifier les meilleurs cas dusage et accélérer ladoption de lIA générative.

Profil recherché : expérience concrète en IA générative et LLM maîtrise de Python NLP embeddings frameworks GenAI (LangChain LlamaIndex) cloud (AWS/Azure/GCP) et bonnes pratiques MLOps.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Remote Work :

No

Employment Type :

Full-time