PyTorch Developer

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

A PyTorch Developer specializes in leveraging the PyTorch framework to build, train, and optimize machine learning models and deep neural networks. This role involves designing and implementing innovative AI solutions tailored to meet complex data-driven requirements. PyTorch Developers work closely with data scientists and engineers to translate business objectives into technical implementations, ensuring robust model performance and scalability. Their expertise lies in model development, data preprocessing, and integrating deployed models into various platforms, making them key contributors in advancing machine learning applications within an organization.

- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Strong proficiency with PyTorch and deep learning frameworks.
- Proven experience in developing, testing, and deploying neural network architectures.
- Solid understanding of machine learning algorithms and methodologies.
- Proficiency in Python programming language.
- Experience with data preprocessing, analysis, and manipulation of large datasets.
- Ability to optimize model performance for computational efficiency.
- Strong background in conducting experiments and evaluating model performance.
- Experience with integrating deep learning models into existing systems or workflows.
- Familiarity with modern software development tools and practices, including version control systems like Git.
- Knowledge of continuous integration and deployment pipelines.
- Ability to write clean, efficient, and well-documented code.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Up-to-date knowledge of recent developments and research in deep learning.
- Experience with unit testing and ensuring code reliability.
- Capability to create and maintain comprehensive technical documentation.
- Proven ability to provide technical support and troubleshoot complex model-related issues.
- Experience mentoring junior developers and providing technical guidance.
- Familiarity with other machine learning frameworks and libraries is a plus.

- Design, develop, and maintain neural network architectures using PyTorch.
- Optimize and implement machine learning algorithms and models.
- Preprocess and analyze large datasets in collaboration with team members.
- Enhance model computational performance, focusing on memory and speed.
- Conduct experiments to validate and improve model accuracy and effectiveness.
- Refine model designs based on experimental results and feedback.
- Write, review, and maintain clean and efficient code.
- Integrate PyTorch models into existing systems and workflows.
- Stay informed on the latest research and advancements in deep learning.
- Provide technical support for troubleshooting model-related issues.
- Participate in code reviews and contribute to discussions on best practices.
- Create and maintain detailed technical documentation for models and systems.
- Work with stakeholders to understand requirements and deliver insights.
- Manage codebase using version control systems like Git.
- Develop and execute unit tests to ensure code quality.
- Implement and maintain CI/CD pipelines for machine learning projects.
- Mentor and support junior developers in their professional growth.

The ideal candidate for the role of PyTorch Developer will possess a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, complemented by strong proficiency with PyTorch and a robust understanding of deep learning frameworks. With proven experience in designing, testing, and deploying neural network architectures, they excel in optimizing computational performance and implementing state-of-the-art machine learning algorithms. Proficiency in Python and experience with large dataset preprocessing and manipulation are critical, along with an ability to conduct rigorous experiments to evaluate model performance. This candidate will demonstrate exceptional skills in writing clean, efficient, well-documented code, and integrating deep learning models into existing systems. They must be adept with modern software development tools, including version control systems like Git, and exhibit thorough knowledge of continuous integration and deployment pipelines. Strong analytical and problem-solving abilities, excellent communication and teamwork skills, and a commitment to continuous learning are essential. The ideal professional is detail-oriented, proactive, and capable of mentoring junior developers. They possess a high level of integrity, a strong sense of accountability, and a drive for innovation, ensuring they stay current with the latest advancements in technology and research. Adaptable and resilient, they handle multiple tasks efficiently, deliver quality results under pressure, and maintain best practices within the team.

- Develop, test, and maintain custom neural network architectures using PyTorch.
- Implement state-of-the-art machine learning algorithms and models.
- Collaborate with data scientists and machine learning engineers to analyze and preprocess large datasets.
- Optimize computational performance of models, including memory and speed improvements.
- Conduct experiments to evaluate and validate model accuracy and effectiveness.
- Iterate on model designs based on experimental outcomes and feedback.
- Write and review clean, efficient, and well-documented code.
- Integrate PyTorch models into existing systems and workflows.
- Stay updated with the latest research and advancements in the field of deep learning and PyTorch.
- Provide technical guidance and support for troubleshooting model-related issues.
- Participate in code reviews and contribute to team discussions on best practices.
- Create and maintain comprehensive technical documentation for developed models and systems.
- Work closely with stakeholders to understand project requirements and deliver actionable insights.
- Utilize version control systems (e.g., Git) to manage codebase effectively.
- Develop and run unit tests to ensure code robustness and reliability.
- Implement and maintain continuous integration and deployment pipelines for machine learning projects.
- Mentor junior developers and assist in their skill development.

- Detail-oriented with a strong analytical mind
- Entrepreneurial mindset with a proactive approach to problem-solving
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Strong organizational and time-management skills
- Adaptable and quick to learn new concepts and technologies
- Strong commitment to continuous learning and self-improvement
- Ability to handle multiple tasks and projects simultaneously
- Efficient and results-oriented with a focus on quality
- Resilient and able to work well under pressure and tight deadlines
- Open to receiving and providing constructive feedback
- Thorough and meticulous in understanding and implementing project requirements
- Enthusiastic about staying current and applying the latest advancements in technology and research
- Demonstrates leadership and mentorship abilities
- Strong sense of accountability and ownership of tasks and responsibilities
- High level of integrity and ethical standards in professional practices
- Innovative and creative in developing solutions
- Committed to maintaining high standards and best practices within the team

- Competitive salary ranging from $90,000 to $130,000 annually, based on experience.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous paid time off, including vacation, sick leave, and public holidays.
- Professional development opportunities, including conferences, workshops, and courses.
- Employer-sponsored retirement savings plans (401(k) with matching).
- Life and disability insurance coverage.
- Employee wellness programs and resources.
- Access to cutting-edge technology and tools.
- Opportunities for career advancement and growth within the company.
- Collaborative and inclusive team environment.
- Regular team-building activities and company events.
- Tuition reimbursement for further education.
- Relocation assistance, if applicable.
- Subsidized gym membership or on-site fitness facilities.
- Stock options or equity participation plans.
- Parental leave policies for new parents.
- Childcare support or assistance.
- Employee assistance program offering counseling and support services.
- Performance bonuses and incentives based on individual and team achievements.