Remote Ai Engineer — Build Scalable Ml Pipelines

31 ago - Lazio
YO IT CONSULTING

pstrongJob Descriptionbr/strongstrongJob Title: /strong AI EngineerbrstrongJob Type: /strong ContractbrstrongLocation: /strong RemotebrstrongJob Summary: /strong In this role, you'll apply your expertise to help train next-generation AI systems.
Your work will shape how models learn, reason, and perform through high-quality, real-world input.
No prior experience in AI is required — your domain knowledge is what matters.brstrongKey Responsibilitiesbr/strongulliDesign, build, and optimize robust machine learning models for production environments.
/liliImplement and automate end-to-end ML pipelines using CI/CD best practices.
/liliLeverage AWS services for scalable AI infrastructure and model deployment.
/liliOrchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
/liliCollaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
/liliEvaluate, preprocess, and frame real-world data problems for effective machine learning applications.
/liliDocument and communicate findings, solution approaches,



and technical decisions with clarity and precision.br/li /ulstrongRequired Skills And Qualificationsbr/strongulliProven expertise in machine learning algorithms, model development, and deployment.
/liliStrong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
/liliIn-depth experience with CI/CD workflows and automation tools.
/liliHands-on expertise with AWS cloud services for ML applications and data pipelines.
/liliAdvanced knowledge of Kubernetes for orchestrating containerized ML workloads.
/liliExceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
/liliDemonstrated ability to scope, structure, and solve complex, real-world data challenges.br/li /ulstrongPreferred Qualificationsbr/strongulliFamiliarity with deep learning frameworks such as TensorFlow or PyTorch.
/liliExperience working in high-growth or startup environments.
/liliStrong publication record or contributions to open-source AI projects.
/li /ul /p #J-*****-Ljbffr

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