Caffe Developer

At Vintti, we understand the importance of real-time collaboration in today's fast-paced business environment. Our staffing solutions focus on connecting US companies with Latin American talent operating in compatible time zones. This strategic approach ensures that businesses can engage with their team members during regular office hours, facilitating immediate communication, swift problem-solving, and seamless project coordination.

A Caffe Developer leverages the Caffe deep learning framework to design, develop, and optimize machine learning models tailored for various applications, including image and speech recognition. This role involves collaborating with cross-functional teams to translate business requirements into technical specifications, implementing algorithms, and ensuring efficient model training and deployment. A Caffe Developer stays current with emerging industry trends and advancements in deep learning technologies, continuously improving the performance and accuracy of models to meet the evolving needs of the organization.

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience in developing deep learning models using the Caffe framework.
- Strong programming skills in Python and C++.
- Solid understanding of deep learning concepts and neural network architectures.
- Experience with optimizing and modifying network architectures.
- Proficient in writing custom layers and functions within Caffe.
- Experience with dataset preparation and data preprocessing.
- Strong debugging and problem-solving skills.
- Familiarity with integrating deep learning models into production environments.
- Experience with version control systems, specifically Git.
- Ability to write clear, concise, and detailed documentation.
- Experience with performance monitoring and troubleshooting of models in real-time.
- Excellent collaboration skills and experience in working within multidisciplinary teams.
- Up-to-date knowledge of industry trends and advancements in deep learning and the Caffe ecosystem.
- Strong communication skills for presenting findings and progress to stakeholders.
- Experience conducting code reviews and providing constructive feedback.
- Ability to mentor junior developers and interns.
- Ability to prototype and evaluate new approaches to model training and deployment.

- Collaborate with data scientists and researchers to define and prepare datasets.
- Implement and fine-tune deep learning models using the Caffe framework.
- Optimize and modify network architectures for performance and efficiency.
- Write custom layers and functions in C++ or Python to extend Caffe.
- Perform rigorous testing and debugging of models.
- Maintain and update existing deep learning models and infrastructure.
- Conduct regular code reviews and provide feedback.
- Generate detailed documentation for developed models and algorithms.
- Integrate Caffe models into production environments and coordinate deployment.
- Monitor model performance and troubleshoot issues in real time.
- Collaborate with software development teams to integrate deep learning solutions.
- Stay current with developments in deep learning and the Caffe ecosystem.
- Provide technical support and guidance to junior developers and interns.
- Participate in team meetings and contribute to project planning.
- Prototype and evaluate new model training and deployment approaches.
- Communicate findings and progress to stakeholders.
- Utilize version control systems to manage and share code.

The ideal candidate for the Caffe Developer role will possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field, coupled with proven experience in developing deep learning models using the Caffe framework. They will exhibit strong programming skills in both Python and C++, with a robust understanding of deep learning concepts and neural network architectures, and will be adept at optimizing and modifying network architectures to enhance performance and efficiency. The candidate will have a track record of writing custom layers and functions within Caffe, demonstrating proficiency in dataset preparation and preprocessing. They will be known for their exceptional debugging and problem-solving skills and their ability to integrate deep learning models into production environments effectively. Proficiency with Git for version control, and the ability to write clear, detailed documentation are essential. The ideal candidate will be proactive, self-motivated, and able to work under tight deadlines, possessing excellent communication skills to present findings to stakeholders succinctly. They will be collaborative, adaptable, and eager to stay abreast with the latest developments in deep learning and the Caffe ecosystem. Experience in conducting code reviews, providing constructive feedback, and mentoring junior developers and interns will be crucial. Additionally, they will exhibit strong analytical skills, high attention to detail, and a passion for AI advancements. Their innovative mindset, commitment to producing high-quality, maintainable code, and ability to translate complex technical details into clear, concise information will set them apart. With a strong work ethic, organizational and time management skills, and a dedication to fostering a collaborative team environment, they will be a vital asset in driving the team's success and innovation.

- Collaborate with data scientists and researchers to define and prepare datasets for training deep learning models.
- Implement and fine-tune deep learning models using the Caffe framework.
- Optimize and modify network architectures to improve performance and efficiency.
- Write custom layers and functions in C++ or Python to extend Caffe's capabilities.
- Perform rigorous testing and debugging of models to ensure accuracy and reliability.
- Maintain and update existing deep learning models and infrastructure.
- Conduct regular code reviews and provide feedback to team members.
- Generate detailed documentation for developed models and algorithms.
- Integrate Caffe models into production environments and coordinate deployment.
- Monitor model performance and troubleshoot issues in real time.
- Collaborate with software development teams to integrate deep learning solutions into applications.
- Stay current with the latest developments in deep learning and the Caffe ecosystem.
- Provide technical support and guidance to junior developers and interns.
- Participate in team meetings and contribute to project planning and progress reviews.
- Prototype and evaluate new approaches for model training and deployment.
- Communicate findings and progress to stakeholders through presentations and reports.
- Utilize version control systems, such as Git, to manage and share code.

- Strong analytical and problem-solving skills
- High attention to detail
- Collaborative team player
- Proactive and self-motivated
- Ability to work under tight deadlines
- Strong communication and interpersonal skills
- Innovative and forward-thinking mindset
- Eagerness to learn and stay current with new technologies
- Ability to adapt to changing project requirements
- Strong work ethic and reliability
- Enthusiasm for mentoring and guiding junior team members
- Strong organizational and time management skills
- Ability to translate complex technical details into clear, concise information
- Passion for deep learning and AI advancements
- Commitment to producing high-quality, maintainable code

- Competitive salary range based on experience and qualifications
- Comprehensive health insurance plans including medical, dental, and vision coverage
- Retirement savings plan with company matching contributions
- Flexible working hours and remote work options
- Generous paid time off, including vacation days, sick leave, and holidays
- Professional development opportunities, including access to conferences, workshops, and online courses
- Reimbursement for relevant certifications and educational programs
- Collaborative and inclusive work environment fostering growth and innovation
- Employee wellness programs and resources
- Office amenities such as free snacks, beverages, and ergonomic workstations
- Opportunities for career growth and advancement within the company
- Regular team-building activities and social events
- Access to cutting-edge technology and tools
- Parental leave and family support policies
- Employee assistance program providing confidential counseling and support services
- Performance-based bonuses and incentives
- Relocation assistance for qualified candidates
- Contributions to open-source projects and industry events