Machine Learning Engineer
LatAm, North Macedonia, Portugal, Serbia
Loka, Inc
Loka accelerates your ideas into market-ready products. Expertise in AI, data services, DevOps, cloud services, app development, and healthcare, life sciences consulting, and AWS specialists. Launch and innovate faster with us.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)
- LokaLabs™ incubator
- Relocation & Explore program (3 months or full relo)
- Remote and flexible
- Paid sick days and local holidays
- Fitness subscriptions and more
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
- Clean criminal record
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Deep Learning Engineering Generative AI HuggingFace LangChain LLMs Machine Learning MLFlow ML models MLOps NLP Pipelines Prompt engineering Python PyTorch SageMaker Statistics TensorFlow
Perks/benefits: Career development Startup environment
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