Data Scientist Specialist

Há 4 dias

Buenos Aires Espírito Santo Brazil beBeeMachineLearningEngineer Tempo inteiro R$90.000 - R$120.000

We're seeking a seasoned Machine Learning Engineer to join our dynamic team. This is an exceptional opportunity for a talented individual to drive innovation and make a lasting impact.

">Job Description

As a Machine Learning Engineer, you will be responsible for designing, building, and optimizing data workflows for Machine Learning and GenAI solutions in cloud environments. Your expertise will be crucial in developing and deploying Machine Learning and Generative AI models using Azure Machine Learning (AML). You will create and manage data and model pipelines to improve the efficiency of AI and machine learning systems. Additionally, you will prepare and structure data for advanced AI and GenAI solutions, ensuring seamless integration of data and AI solutions within cloud architectures.

">Required Skills and Qualifications
  • Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
  • Experience working in cloud environments (Azure) for at least 2 years.
  • Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
  • Advanced English level.
  • Experience using Azure AI Foundry, Azure ML studio and other Azure data services: Fabric, Synapse, Purview.
  • Experience with Generative AI models and deploying them in production.
  • Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
  • Ability to work in Agile teams under Scrum methodology.
Benefits

We offer a competitive compensation package, comprehensive group benefits, flexibility, and time off when you need it. Our casual work environment allows for collaboration and growth opportunities. The role can be remote/home office, with some travel required.

Others

Netrix Global values diversity, equity, and inclusion in all its practices. We are committed to providing equal employment opportunities to all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, disability, veteran status, or any other protected characteristic. If you need a reasonable accommodation, please let us know by contacting us directly.

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