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Senior Machine Learning Engineer
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

We are seeking a seasoned **Senior Machine Learning Engineer** to join our team. This position is ideal for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The chosen candidate will play a pivotal role in optimizing and advancing our sophisticated machine learning models and systems, tailoring them to meet diverse application needs. **Responsibilities** * Design and develop machine learning models to handle complex challenges * Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities * Deploy reliable machine learning infrastructures in production environments * Conduct rigorous data analyses and tests to ensure model accuracy and reliability * Improve the performance and scalability of existing machine learning models * Provide mentorship to junior engineers and lead machine learning projects * Stay updated on the latest advancements in machine learning technologies and trends * Evaluate and incorporate new data sources to enhance model functionality * Draft detailed documentation for machine learning processes and model architectures * Present technical findings and model outcomes to stakeholders and team members **Requirements** * A minimum of 3 years of experience in Machine Learning Engineering, emphasizing AWS technologies * Expertise in Amazon Bedrock for creating and deploying machine learning solutions * Background in using Amazon SageMaker to build and manage machine learning models * Understanding of Amazon S3 for efficient data storage and processing in machine learning workflows * Proficiency in Python for developing machine learning models * Knowledge of Natural Language Processing (NLP) and its associated implementations * Skills in Deep Learning methodologies and applications * Competency in Prompt Engineering to enhance machine learning model interactions * Capability to implement Sentiment Analysis effectively * Qualifications in conducting Model Evaluation for NLP to assess model performance * Fluency in English at a B2 level or higher for seamless collaboration and communication with stakeholders **Nice to have** * Familiarity with cloud platforms such as Google Cloud or Microsoft Azure * Background in additional programming languages such as R or Java * Certifications in machine learning, data science, or related disciplines

Source:  indeed View original post
Valentina Rodríguez
Indeed · HR

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