Senior Software Engineer

We are looking for a highly skilled and experienced Senior Software Engineer to join our team. The ideal candidate will have a strong background in building AI/ML data pipelines using Python and integrating AI/ML models into these pipelines. This role requires a deep understanding of pre and post data processing steps, as well as the ability to work with large datasets and complex algorithms. The successful candidate will play a crucial role in developing and optimizing our AI/ML infrastructure to support data-driven decision-making processes.
If you are passionate about AI/ML and have a proven track record of developing high-performing data pipelines, we would love to hear from you. Join us and be a part of a team that is driving innovation and making a significant impact in the industry.

• Design, develop, and maintain AI/ML data pipelines using Python
• Integrate AI/ML models into data pipelines to ensure seamless data flow and model deployment
• Perform pre and post data processing steps, including data cleaning, normalization, feature extraction, and data augmentation
• Collaborate with data scientists and machine learning engineers to understand model requirements and translate them into scalable solutions
• Optimize and fine-tune data pipelines for performance, scalability, and efficiency
• Stay up-to-date with the latest advancements in AI/ML and data engineering to continuously improve existing pipelines
• Mentor and guide junior engineers in best practices for AI/ML and data engineering

• 3+ years of work experience in software development
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in building AI/ML data pipelines using Python
• Proficiency in data preprocessing and post-processing techniques
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Strong knowledge of data engineering, including setting up and maintaining data pipelines
• Experience with cloud platforms, particularly AWS, for deploying and scaling AI/ML solutions
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders
• Hands-on experience with data preprocessing techniques, including normalization, feature extraction, and data augmentation
• Proficiency in model evaluation metrics and techniques, such as cross-validation and A/B testing

• Experience with natural language processing (NLP) techniques and tools
• Knowledge of version control systems like Git

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!