Machine Learning Engineer
Simetrik
This job is no longer accepting applications
See open jobs at Simetrik.See open jobs similar to "Machine Learning Engineer" FinTech Collective.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.
- Proficiency in programming languages such as Python and experience with relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
- Knowledge of text2SQL
- Understanding of natural language processing (NLP) concepts, techniques, and application (e.g., text generation, sentiment analysis, named entity recognition, etc.).
- Proven experience implementing classification, clustering, and regression algorithms, focusing on tasks such as categorizing data into classes, grouping similar data points together, and predicting numerical values.
- 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.
- Familiarity with continuous integration and deployment (CI/CD) pipelines for ML models.
- Knowledge of Docker, Kubernetes, and other containerization technologies.
Responsibilities
- 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.
- Deploying machine learning models into production environments or cloud platforms.
- Contribute to the development and maintenance of tools, frameworks, and libraries to support LLM-related projects.
Benefits:
- 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!
I authorize Simetrik to be the data controller and, as such, it may collect, store and use for the purposes of my possible hiring, under the conditions described in this document. I also give my consent to Simetrik to treat my personal data information in accordance with the Personal Data Treatment Policy available at https://simetrik.com/, which was made known to me before collecting my personal data.
This job is no longer accepting applications
See open jobs at Simetrik.See open jobs similar to "Machine Learning Engineer" FinTech Collective.