Job Title: Senior Python DeveloperLocation: RemoteJob Type: Full timeExperience: 2-5 years
About Us:LitWizLabs.ai is at the forefront of AI innovation, offering a cutting-edge MLOps platform, WizStudio, that empowers data teams to streamline their machine learning workflows from development to deployment.
Job DescriptionWe are looking for a skilled Python Developer to join our development team. As a Python Developer, you will play a key role in enhancing our MLOps platform, WizStudio, by developing robust back-end components, integrating front-end elements, and optimizing our machine learning workflows.
ResponsibilitiesWrite efficient, reusable, testable, and scalable Python code.Develop and maintain back-end components to improve responsiveness and overall performance.Integrate user-facing elements developed by front-end developers with server-side logic.Implement security and data protection solutions.Debug and troubleshoot applications to ensure high performance and responsiveness.Collaborate with other developers, designers, and stakeholders to deliver high-quality products.Participate in code reviews and contribute to improving development processes and standards.Stay updated with the latest trends and best practices in Python development and MLOps.
RequirementsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).Proven experience as a Python Developer or in a similar role.Strong knowledge of Python programming language.Experience with Python frameworks such as Django and Flask.Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.Understanding of database technologies (e.g., SQL, NoSQL databases).Knowledge of version control systems (e.g., Git).Experience with RESTful APIs and web services.Strong problem-solving skills and attention to detail.Excellent communication and teamwork skills.
Preferred QualificationsExperience with cloud platforms (e.g., AWS, Azure, Google Cloud).Understanding of containerization and orchestration (e.g., Docker, Kubernetes).Knowledge of data processing libraries (e.g., Pandas, NumPy).Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).Experience with MLOps tools and platforms (e.g., Kubeflow, MLFlow).
BenefitsCompetitive salary and benefits package.Flexible working hours and remote work options.Opportunity to work on exciting and innovative projects.Professional development and growth opportunities.Collaborative and inclusive work environment.
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