5 of 5 Contract TensorFlow Jobs

cloud environments. Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt. Experience delivering advanced measurement and modelling solutions ...

experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product ...

model versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn) Experience working with large-scale data processing tools (e.g. Spark) Strong understanding of software engineering best practices If you are interested ...

ideal candidate will possess: Strong Programming Skills: Proficiency in languages such as Python, Java, or C++. AI Knowledge: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing. Analytical Mindset: Ability to analyse complex data sets and derive actionable insights. Problem-Solving Skills: A proactive approach ...

also drive optimisation of ML capabilities within Snowflake. Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker ...