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Machine Learning Engineer



Software Engineering
Posted on Friday, August 18, 2023

About the role

As a Machine Learning Engineer you will design, develop, and implement machine learning models and systems that can analyze and interpret data, make predictions, and automate decision-making processes. You will help us turning data into actionable insights and deploying machine learning solutions into our software.

Minimum qualifications

  • Bachelor's in Computer Science, Engineering, or related field.
  • 1-2 years of industry experience as a Machine Learning Engineer, with a focus on Large Language Models (LLMs).
  • Proficiency in programming languages such as Python and experience with relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
  • Knowledge of text2SQL
  • Strong understanding of natural language processing (NLP) concepts, techniques, and applications.
  • Proven track record of developing and deploying LLMs for various NLP tasks (e.g., text generation, sentiment analysis, named entity recognition, etc.).
  • Experience with model training, fine-tuning, and optimization using large-scale datasets.
  • Solid understanding of machine learning fundamentals, deep learning architectures, and evaluation metrics.
  • Knowledge of cloud platforms (AWS) and experience deploying models in production environments is a plus.

Preferred qualifications

  • Experience in the payments, banking or accounting sector is a huge plus
  • Experience with distributed computing and parallel processing for LLM training.
  • Familiarity with continuous integration and deployment (CI/CD) pipelines for ML models.
  • Knowledge of Docker, Kubernetes, and other containerization technologies.


  • Identifying opportunities where machine learning techniques can add value and solve problems.
  • Defining clear objectives and success criteria for machine learning projects.
  • Acquiring, cleaning, and preparing relevant datasets for training and evaluation.
  • Exploring and analyzing data to gain insights and understand patterns.
  • Selecting and transforming relevant features from the data to improve model performance.
  • Choosing appropriate machine learning algorithms and architectures based on the problem and data characteristics.
  • Implementing training pipelines and frameworks to train models on large datasets.
  • Monitoring model performance and behavior in real-world scenarios.
  • Detecting and addressing issues related to model drift, bias, or degradation over time.


  • Well-funded and proven startup with large ambitions and competitive salaries.
  • Entrepreneurial culture where pushing limits, creating and collaborating is everyday business.
  • Open communication with management and company leadership
  • Small, dynamic teams = massive impact
  • 100% Remote Work (You choose where to work from)
  • 500USD a year for you to invest in learning.

Simetrik considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

Join a team of incredibly talented people that build things, are free to create and love collaborating!