As a Senior AI/ML Engineer at vector8, you will design, implement, and deploy AI solutions that bridge the gap between research and production. Your work will focus on integrating and fine-tuning AI Models, optimizing the model performance, and ensuring enterprise-grade reliability, security, and scalability. This is a hands-on engineering role where you will: - Develop and optimize LLMand VLM-powered solutions for enterprise use cases - Develop and optimize TTS, STT and ML models. - Apply software engineering best practices (testing, CI/CD, modular design, documentation) - Collaborate with cross-functional teams (data engineers,MLOps, cloud architects, and business stakeholders) - Solve real-world enterprise challenges (security, compliance, legacy system integration) - Own the full lifecycle of AI models, from data exploration to production monitoring You will work closely with vector8’s Engineers and Project Managers to co-design AI foundations that enable organizations to scale AI from individual use cases to enterprise-wide capabilities. The role is primarily based in Paris, with occasional travel to client sites and collaboration with teams across Europe. ### Responsibilities 1. End-to-End Model Development - Design, implement, and deploy distributed, high-volume, high-performance, low-latency machine learningsolutions, with a focus onGenAI models, and especiallyLLM integrations and API-driven architectures - Take ownership of your models throughout their entire lifecycle: - Data exploration and cleaning to build reproducible, versioned datasets - State-of-the-artresearch toidentifythe best architectures for the problem (e.g., transformers, RAG, fine-tuning) - Implementation, training, and optimization in reproducible environments - Deployment, monitoring, and maintenance in production - Optimizemodels for performance, latency, and cost efficiency, especially in LLM serving and inference 2. Software Engineering for AI - Write clean, modular, and well-documented code in Python (FastAPI,Pydantic,asyncio) - Apply best practices in: - Testing (unit, integration, end-to-end) - CI/CD (GitHub Actions, GitLab CI,ArgoCD) - Observability (logging, monitoring, tracing) - Ensure security and compliance (data protection, access controls, encryption) - Integrate models and code into CI/CD pipelines for seamless deployment 3. AI & ML Integration & API Development - Design and implementAI-powered solutions that integrate with APIs, microservices, and event-driven architectures - Develop andoptimizeAIpipelines for: - Dataset cleaning,preprocessingand model training - Fine-tuning (domain adaptation, instruction tuning) - Retrieval-Augmented Generation (RAG) (vector databases, semantic search) - Prompt engineering (optimizinginputs for performance, cost, and accuracy) - Model evaluation (benchmarking, bias detection, drift analysis) - Build scalable, secure, and cost-efficient serving infrastructure (e.g.,FastAPI,vLLM) - Debug andoptimizeperformance (latency, throughput, token efficiencyfor Transformer based architectures) 4. Enterprise AI & MLOps - Deploy andmonitorAI models in production - Design and implementMLOpspipelines for: - Model training, fine-tuning, and evaluation - Model versioning and lineage tracking - A/B testing and canary deployments - Ensure scalability and reliability (auto-scaling, fault tolerance, disaster recovery) - Collaborate with data engineers to build data pipelines (batch, streaming, real-time) 5. Collaboration & Technical Leadership - Work closely with product owners, DevOps, and quality assurance in an agile, cross-functional team - Mentor junior engineers and promote best practices in AI/ML and software engineering - Translate product requirements into technical solutions and architectural decisions - Document architectures, decisions, and best practices for internal and client-facing use - Develop relationships with internal and external stakeholders, including clients and partners 6. Innovation & Continuous Improvement - Stay ahead of the latestAI and MLarchitectures (transformers, Mixture of Experts, sparse attention). - Experiment withcutting-edgetechniques (quantization, distillation, speculativedecoding). - Evaluate and benchmark open-source and proprietary models (Llama, Mistral,Mixtral, GPT-4, Claude). - Bring your own ideas through vector8’s ideation process. - Contribute to vector8’s AI accelerators (reusable components for common industry problems). - Embrace a strategic and continuous improvement mentality to drive innovation. ### Requirements - 5+ years of experience in AI/ML engineering, software development, or a related field - Expertise in LLM architectures and training methodologies: - Transformers, attention mechanisms, fine-tuning, RAG, quantization - Prompt engineering, model evaluation, bias detection - Strong knowledge of machine learning architectures: fully connected, CNN, LSTM, transformers and classical ML models - Strong software engineering skills: - Proficient in Python (FastAPI,Pydantic,asyncio, type hints) - Experience with API development - Familiarity with modern tool chains (Docker, Kubernetes, Terraform) - Hands-on experience with LLM integrations: - LLM providers - Vector databases (Pinecone, Weaviate, Milvus) - Model serving (vLLM, TGI, KServe) - Experience with MLOpsand production deployments - Understanding of enterprise challenges: - Security, compliance, scalability, costoptimization. - Experience with relational and non-relational databases. - Strong problem-solving and debugging skills. - Excellent communication and collaboration skills (fluent in English; German is a strong plus). - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related field. - Experience with multi-cloud environments (AWS, Azure, GCP). - Experience with code optimization (e.g., model quantization, parallelization). ### Benefits - A great compensation package with competitive benefits, including: - Flexible working hours, including remote work options (hybrid model). - 25daysof paid vacation per year, plusadditionalflex days. - Private health and life insurance&pension plan for long-term security. - Home office allowance &Lunch vouchers to enjoy meals on us. - Discounted fitness memberships to stay active. - 50% reimbursement of public transport costs. - Free coffee, fruit, and snacks to keep you fueled. - Access to the latest technologies(LangDock, Claude Code for developers) - Grants for training, coaching, and conferences to support your continuous learning. - Opportunities to attend industry events and representvector8as a thought leader. - A less-formal work environment where authenticity and collaboration thrive. - A diverse and inclusive team that values curiosity, ownership, and innovation.