Senior AI/ML Engineer — Build & Deploy Real-World AI

atlas-tech; Nouvelle-Calédonie; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize AI/ML solutions for high-impact mission, operational, and business problems. The role blends research, prototyping, and engineering to deliver measurable value.

The ideal candidate will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users. Strong Python and ML stack experience is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or related field
• 3+ years of experience in applied AI/ML engineering, including production deployments
• Experience with LLMs, fine-tuning, retrieval-augmented generation (RAG), prompt engineering, or custom model training
• Experience with vector databases, high-dimensional embeddings, and semantic search
• Experience applying LoRA adapters for efficient fine-tuning of foundation models, including training, evaluation, and integration into production pipelines
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, or similar
• Experience building and operating AI/ML systems in air-gapped environments
• Deep understanding of model development: supervised/unsupervised learning, neural networks, transformers, time-series, embeddings
• Familiarity with modern AI/ML ops tooling: MLflow, SageMaker, Vertex AI, Databricks, or equivalent
• Strong understanding of API design, microservices, containers, and CI/CD for ML
• Ability to connect technical solutions to business value and communicate effectively with executives and non-technical stakeholders

Responsabilités

• Design, build, and deploy scalable AI/ML tools for generative AI use cases
• Develop end-to-end ML pipelines, including LLM tool integration, data ingestion, feature engineering, model training, evaluation, and monitoring
• Implement production-grade inference systems and integrate ML models into applications, APIs, and microservices
• Lead experimentation, define hypotheses, run evaluations, assess model performance, and identify improvement strategies
• Work closely with engineering teams to build robust, secure, and maintainable AI-enabled architectures
• Provide periodic instruction and prompt fine-tuning to resolve newly discovered hallucination vectors, user-reported biases, or changes in operational terminology
• Partner with domain SMEs to translate real-world constraints into effective features, labels, and model requirements
• Evaluate emerging AI technologies, frameworks, and foundation models and recommend their use in mission-relevant applications
• Mentor junior engineers and contribute to internal standards, coding practices, and reusable components
• Ensure responsible AI practices, bias evaluation, data governance, model explainability, and ethical use of automated systems
• Prepare demos, prototypes, and proof-of-concept integrations that clearly illustrate feasibility and value

Connaissances

Python

TensorFlow

PyTorch

LLMs

RAG

Prompt engineering

Vector databases

LangChain

CI/CD for ML

Microservices

Semantic search

Model fine-tuning

Secure ML deployment

Formation

Bachelor's or Master’s degree in Computer Science, ML, Data Science, Engineering, or related field

Outils

MLflow

SageMaker

Vertex AI

Databricks

Docker

Kubernetes

Description du poste

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize AI/ML solutions for high-impact mission, operational, and business problems. The role blends research, prototyping, and engineering to deliver measurable value.

The ideal candidate will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users. Strong Python and ML stack experience is essential.