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[8AI] Machine Learning Data Engineer

72% Flex
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

BS/MS in CS, Engineering, 3+ yrs data engineering supporting ML, Python, SQL proficiency, Big data tech knowledge, ML frameworks experience.

Key responsabilities:

  • Build/optimize data systems
  • Design/execute data pipelines
  • Enhance data quality/reliability
  • Implement data monitoring systems
  • Collaborate with ML engineers/business units
Software Mind logo
Software Mind Large https://www.softwaremind.com
1001 - 5000 Employees
See more Software Mind offers

Job description

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Your missions

Company Description

Agile Soul – Software Mind 

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project - the aim you'll have

Our client is pioneering personalized wellness through innovative technology. Their team is committed to enhancing healthcare experiences using cutting-edge AI. They value creativity, collaboration, and the drive to revolutionize personal wellness. Their culture thrives on innovation, continuous improvement, and pushing boundaries. Join their dynamic and rapidly growing team and be part of a journey that's reshaping the future of healthcare.

As an ML Data Engineer, you will be instrumental in building and optimizing data systems and infrastructure to support client's Machine Learning projects. You'll work closely with ML engineers to ensure that they have the clean, well-structured, and high-quality data necessary for developing cutting-edge AI models.

Position - how you'll contribute

  • Processing (NLP), tailored to personalized healthcare applications.
  • Design and implement robust data pipelines to collect, clean, and consolidate data from diverse sources.
  • Enhance data quality and reliability to drive ML initiatives.
  • Implement systems to monitor data quality, ensuring that our models have the best data available.
  • Work with state-of-the-art data processing technologies to prepare and optimize data for machine learning.
  • Collaborate with machine learning engineers and business units to understand and fulfill their data requirements.
  • Being up to date with new ML practices such as GenAI, MLops, ML Inference, and GPU based training.

Qualifications

Expectations - the experience you need

  • BS/MS in Computer Science, Engineering, or a related field.
  • 3+ years of experience in a data engineering role, specifically supporting machine learning data needs.
  • Strong programming skills in Python and SQL, as well as experience with Scala or Java, are a plus.
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
  • Knowledgeable in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
  • Proficient in managing and optimizing big data storage and data warehouse solutions.
  • Excellent problem-solving skills and the ability to work in a dynamic and agile environment.

Additional Information

Our offer – professional development, personal growth 

  • Flexible employment and remote work  
  • International projects with leading global clients 
  • International business trips  
  • Non-corporate atmosphere
  • Internal & external training 
  • Private healthcare and insurance  
  • Multisport card 
  • Well-being initiatives 

Position at: Software Mind Poland

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Team Collaboration
  • Creativity
  • Problem Solving
  • Strong Communication

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