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[8AI] Machine Learning Engineer

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

Offer summary

Qualifications:

BS/MS in Software Engineering, Computer Science or related field, 4+ years as Machine Learning Engineer, Proficient in Python, TensorFlow, PyTorch, Hugging Face Transformers, Experience deploying AI models in Azure, AWS, GCP, Strong understanding of NLP and large dataset processing.

Key responsabilities:

  • Design, develop, implement AI-driven wellness models
  • Develop and fine-tune Large Language Models using advanced NLP techniques
  • Explore user data for patterns, train AI models, deploy in Azure cloud
  • Monitor and optimize ML models, engage in research and development
Software Mind logo
Software Mind Large https://www.softwaremind.com
1001 - 5000 Employees
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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 a Machine Learning Engineer, you'll play a critical role in developing and refining our AI-driven wellness models. You'll be part of our R&D team, focusing on designing, developing, and implementing innovative functionality for AI and data processing systems. This role specifically involves:

  • Developing and fine-tuning open-source Large Language Models (LLMs), applying advanced NLP techniques to enhance our AI solutions.
  • Collaborating with data scientists, software developers, and product teams to integrate these models seamlessly into our existing platforms and contribute to new product features.

Position - how you'll contribute

 

  • Developing all phases of data pipeline architecture, from design to implementation.
  • Exploring and analyzing user data to discover meaningful patterns, features, and insights.
  • Training, validating, and fine-tuning AI models, particularly in Large Language Models (LLM) and Natural Language Processing (NLP), to personalized use cases.
  • Deploying models in a secure, scalable Azure cloud environment.
  • Monitoring and fine-tuning ML models in production to ensure optimal performance.
  • Engaging in continuous research and development to implement cutting-edge solutions.

Qualifications

Expectations - the experience you need

  • BS/MS in Software Engineering, Computer Science, or a related Engineering field.
  • 4+ years of industry experience as a Machine Learning Engineer.
  • Proven software development skills, particularly in Python.
  • Strong experience in frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Experience in managing and processing large datasets, with proficiency in tools like Dask or Apache Spark preferred.
  • Demonstrated capability in deploying scalable AI models in a production environment using cloud services such as Azure, AWS, or GCP.
  • Proficiency in libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib, & Seaborn.
  • Knowledge of both SQL and NoSQL databases.
  • Deep understanding of NLP and recent advancements in the field.
  • Exceptional creativity, along with strong collaboration and communication skills.
  • Being up to date with new ML practices such as GenAI, MLops, ML Inference, and GPU based training

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

  • Effective Collaboration
  • Creativity
  • Effective Communication

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