Parser is seeking an experienced and innovative Machine Learning Engineering Lead to join our dynamic team. The ideal candidate will have a strong background in AI and machine learning, with expertise in various areas of natural language processing and computer vision.
The impact you'll make:
- Lead and mentor a team of ML engineers in developing cutting-edge AI solutions
- Oversee the fine-tuning of open-source Large Language Models (e.g., Llama)
- Design and implement advanced text processing and computer vision algorithms
- Develop and optimize inference engines for efficient model deployment
- Collaborate with cross-functional teams to integrate ML solutions into our products
- Stay current with the latest advancements in AI and machine learning technologies
- Implement and maintain best practices for data processing and model development
- Ensure adherence to Agile methodologies throughout the development process
What You'll Bring To Us:
- Advanced degree in Computer Science, Machine Learning, or a related field
- Extensive experience in machine learning, with a focus on natural language processing and computer vision
- Proven track record of leading ML engineering teams and projects
- Strong proficiency in Python and related ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with fine-tuning and deploying large language models
- Expertise in developing and optimizing inference engines
- Solid understanding of data processing techniques and best practices
- Familiarity with Agile development methodologies
- Excellent communication and leadership skills
- Ability to work in a fast-paced, collaborative environment
* Open for applicants located anywhere in Latin America.
Some of the benefits you’ll enjoy working with us:
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- A flexible and remote working environment
Come and join our #ParserCommunity.
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