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A successful AI/ML Engineer should have:
If you are passionate about AI/ML and eager to make an impact in this domain, apply now to join a team that values innovation and technical expertise.
Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.
Job ID: 147152705
Skills:
Pandas, Python, orchestration frameworks, Github Workflows, Airflow, scikit-learn, Machine Learning Operations
Skills:
Databricks, Microservices, Tensorflow, Kafka, Opencv, Machine Learning, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Apis, Git, Spark, data pipelines, ONNX, AI-assisted engineering tools, Airflow, MLflow, DevOps MLOps practices, CI CD pipelines
Skills:
Machine Learning, Sql, Python
Skills:
Machine Learning, Python, Sql, Statistical Analysis, Generative AI, R, observability monitoring tools, full-stack development
Skills:
Machine Learning, Python
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