Billinghurst 1833
6º Floor
C1425 Ciudad
Autónoma de Buenos Aires
Argentina
Senior Software Engineer Remote
Senior Software Engineer Description
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.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
#LI-DNI
Responsibilities
- 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
Requirements
- 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
Nice to have
- Experience with natural language processing (NLP) techniques and tools
- Knowledge of version control systems like Git
We offer
- Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
- Medicina Prepaga (It covers the collaborator and direct family group)
- Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
- Discounts card
- English Training (English lessons, twice per week)
- Training Program (Access to multiple customized training plans according to the needs of each role within the company)
- Marriage bonus (The company doubles the allowance established by law that ANSES offers)
- Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
- External Agreements and Discounts
- Vacations: 14 calendar days a year
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