Inetum
technology and digital innovation
IAMachineLearningSenior
“IA Machine Learning - Senior at Inetum. Skills: Machine Learning architectures at scale, LLMs, MLOps, LLMOps, data and ML platforms, distributed infrastructure, cloud services. Design, develop, and implement Machine Learning and LLMs architectures at scale. Define and implement LLMOps practices”
What You'll Achieve.
driving digital transformation; improving efficiency and productivity; creating value from data and AI models
Industry & Context.
strategic and analytical thinking; designing complex ML solutions aligned with business objectives
What They're Looking For.
Must Have
5 years of experience in the design and implementation of Machine Learning architectures at scale, development of advanced solutions based on language models (LLMs), construction of robust data and ML platforms, solid experience in MLOps, LLMOps, model governance, cost optimization, distributed infrastructure, designing resilient, scalable, and secure systems, Python, TensorFlow, PyTorch, FastAPI, LangChain, MLflow, Kubeflow, AWS, Terraform, CloudFormation, Spark, Athena, Glue, Airflow, Prefect, Step Functions, Kinesis, Kafka, CI/CD pipelines, CloudWatch
Nice to Have
Kubernetes
What You'll Do.
and implement Machine Learning and LLMs architectures at scale
Define and implement LLMOps practices
Design systems based on custom embeddings
Lead distributed model training processes
Implement and govern MLOps frameworks
Design and implement model evaluation strategies
and compliance in the use of ML and GenAI models
Participate in code reviews
Build and optimize data and ML pipelines
Productize ML solutions through APIs and decoupled services
How You'll Work.
Team & Collaboration
collaborative environment; technical leadership in multidisciplinary teams
Communication Scope
communicate complex AI and data concepts to technical and non-technical audiences
Process & Methodology
effective time management, multiple simultaneous initiatives
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