Junior MLOps Python Software Engineer

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy, and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives.

About The Role
We are seeking a Junior Python Software Engineer with a strong focus on Python programming, experience in AsyncIO, and familiarity with MLOps practices. 
The ideal candidate will have a solid understanding of Python and its associated libraries, particularly AsyncIO for asynchronous programming, and an understanding of MLOps principles.  

What You Will Do in This Role: 

• Develop, test, and maintain Python applications with a focus on asynchronous programming.
• Use AsyncIO for handling concurrent tasks and improving the efficiency of our applications.
• Participate in code reviews to maintain high-quality code.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Understand and apply MLOps principles to improve the lifecycle of machine learning models.

What You’ll Need to be Successful in this Role  

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2-3 years of experience in software development
• Experience with Docker or other containerization technologies
• Experience with AsyncIO for asynchronous programming in Python.
• Familiarity with version control systems like Git.
• Basic understanding of MLOps principles and practices.
• Strong problem-solving skills and ability to learn quickly.
• Excellent communication and teamwork skills.

Nice to Have:  

• Basic understanding of machine learning principles and algorithms.
• Experience with other Python libraries like NumPy, Pandas, or Matplotlib.
• Familiarity with cloud platforms like AWS, GCP, or Azure.

Benefits:  

• Annual bonus scheme 
• Unlimited PTO (paid time off), flexible working hours.
• The chance to join a major global tech company listed on the S&P 500. 
• Opportunity to learn and work with the best in the Digital Security industry 
• Cafeteria points are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more). 
• Tuition reimbursement for job-related courses 
• Learning & Development plan. 
• Sustainable home improvement bonus 
• Mac/Windows laptop and mobile phone 

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. 

We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. 

Gen complies with all anti-discrimination laws. 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.