We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning strong Python skills and a desire to grow in a dynamic and often ambiguous environment. Youll work closely with product managers data scientists and engineers to rapidly prototype test and deploy ML-driven features and pipelines.
What Youll Do
- Collaborate in an agile team to develop and deploy ML models and data pipelines.
- Translate loosely defined business or customer requirements into practical ML solutions.
- Be creative and proactive in shaping solutions that solve real-world problems.
- Build test and optimize scalable Python-based systems for training and inference.
- Work with structured and unstructured data (e.g. tabular text image).
- Participate in sprint planning daily stand-ups and reviews.
- Own and maintain parts of the codebase and contribute to improving engineering best practices.
Qualifications :
What Were Looking For
- 24 years of experience in software engineering or ML engineering roles.
- Strong Python programming skills with experience in ML frameworks like scikit-learn TensorFlow or PyTorch.
- Proficiency with data handling libraries (e.g. pandas NumPy) and tools like Jupyter.
- Ability to take customer or business requirements and creatively turn them into technical solutions.
- Exposure to common ML workflows: data cleaning feature engineering model evaluation.
- Comfortable working in a fast-paced agile environment with changing priorities and some ambiguity.
- Good communication and collaboration skills; youre proactive and not afraid to ask questions.
- Familiarity with version control (e.g. Git) and containerization (e.g. Docker).
- Experience with cloud platforms (AWS GCP or Azure) and basic understanding of MLOps practices.
- Exposure to CI/CD workflows and tools like MLflow or model serving frameworks.
- Ability to build lightweight APIs (e.g. FastAPI Flask) to expose models is a plus.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning strong Python skills and a desire to grow in a dynamic and often ambiguous environment. Youll work closely with produc...
We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning strong Python skills and a desire to grow in a dynamic and often ambiguous environment. Youll work closely with product managers data scientists and engineers to rapidly prototype test and deploy ML-driven features and pipelines.
What Youll Do
- Collaborate in an agile team to develop and deploy ML models and data pipelines.
- Translate loosely defined business or customer requirements into practical ML solutions.
- Be creative and proactive in shaping solutions that solve real-world problems.
- Build test and optimize scalable Python-based systems for training and inference.
- Work with structured and unstructured data (e.g. tabular text image).
- Participate in sprint planning daily stand-ups and reviews.
- Own and maintain parts of the codebase and contribute to improving engineering best practices.
Qualifications :
What Were Looking For
- 24 years of experience in software engineering or ML engineering roles.
- Strong Python programming skills with experience in ML frameworks like scikit-learn TensorFlow or PyTorch.
- Proficiency with data handling libraries (e.g. pandas NumPy) and tools like Jupyter.
- Ability to take customer or business requirements and creatively turn them into technical solutions.
- Exposure to common ML workflows: data cleaning feature engineering model evaluation.
- Comfortable working in a fast-paced agile environment with changing priorities and some ambiguity.
- Good communication and collaboration skills; youre proactive and not afraid to ask questions.
- Familiarity with version control (e.g. Git) and containerization (e.g. Docker).
- Experience with cloud platforms (AWS GCP or Azure) and basic understanding of MLOps practices.
- Exposure to CI/CD workflows and tools like MLflow or model serving frameworks.
- Ability to build lightweight APIs (e.g. FastAPI Flask) to expose models is a plus.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
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