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Machine Learning Engineer

Loka, Inc

Full-time
Latin America, North Macedonia, Portugal, Serbia
machine learning
engineer
python
aws
computer science
Apply for this position

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

  • Understanding of statistical, ML and deep learning algorithms

  • Analyze errors of models and design strategies to overcome them

  • Deploy, maintain, and upgrade ML models and pipelines

  • Ambition to learn and grow into different industries with a modern tech stack

  • Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Benefits

  • Every other Friday off (26 extra days off a year)

  • LokaLabsâ„¢ incubator

  • Relocation & Explore program (3 months or full relo)

  • Remote and flexible

  • Paid sick days and local holidays

  • Business English classes

  • Fitness subscriptions and more

  • Continuous Learning Support

The Required Hard Skills

  • Bachelor's Degree in Computer Science or related

  • 2+ years of ML engineering experience

  • Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

  • Proficient in English - Being a global team, we work entirely in English for meetings, customer calls and business communications

Bonus Points for Experience with…

  • Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.

  • MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)

  • Visualizing and manipulating big datasets

  • NLP

The Required Soft Skills

  • Curiosity—Ambition to learn and grow into different industries with a modern tech stack

  • Autonomy and positivity—We’re a fully remote, globally distributed team

  • Teamwork—Enjoy a collaborative approach

  • Adaptability—Operate with a startup mindset and move at a startup pace

 

Please submit your CV in English.

Apply for this position
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About the job

Full-time
Latin America, North Macedonia, Portugal, Serbia
30 Applicants
Posted 1 week ago
machine learning
engineer
python
aws
computer science

Apply for this position

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Machine Learning Engineer

Loka, Inc

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

  • Understanding of statistical, ML and deep learning algorithms

  • Analyze errors of models and design strategies to overcome them

  • Deploy, maintain, and upgrade ML models and pipelines

  • Ambition to learn and grow into different industries with a modern tech stack

  • Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Benefits

  • Every other Friday off (26 extra days off a year)

  • LokaLabsâ„¢ incubator

  • Relocation & Explore program (3 months or full relo)

  • Remote and flexible

  • Paid sick days and local holidays

  • Business English classes

  • Fitness subscriptions and more

  • Continuous Learning Support

The Required Hard Skills

  • Bachelor's Degree in Computer Science or related

  • 2+ years of ML engineering experience

  • Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

  • Proficient in English - Being a global team, we work entirely in English for meetings, customer calls and business communications

Bonus Points for Experience with…

  • Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.

  • MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)

  • Visualizing and manipulating big datasets

  • NLP

The Required Soft Skills

  • Curiosity—Ambition to learn and grow into different industries with a modern tech stack

  • Autonomy and positivity—We’re a fully remote, globally distributed team

  • Teamwork—Enjoy a collaborative approach

  • Adaptability—Operate with a startup mindset and move at a startup pace

 

Please submit your CV in English.

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