Parser is seeking an experienced and innovativeMachine Learning Engineering Lead to join our dynamic team. Theideal candidate will have a strong background in AI and machinelearning, with expertise in various areas of natural languageprocessing and computer vision. The impact you'll make: 1. Lead andmentor a team of ML engineers in developing cutting-edge AIsolutions 2. Oversee the fine-tuning of open-source Large LanguageModels (e.g., Llama) 3. Design and implement advanced textprocessing and computer vision algorithms 4. Develop and optimizeinference engines for efficient model deployment 5. Collaboratewith cross-functional teams to integrate ML solutions into ourproducts 6. Stay current with the latest advancements in AI andmachine learning technologies 7. Implement and maintain bestpractices for data processing and model development 8. Ensureadherence to Agile methodologies throughout the development processWhat You'll Bring To Us: 1. Advanced degree in Computer Science,Machine Learning, or a related field 2. Extensive experience inmachine learning, with a focus on natural language processing andcomputer vision 3. Proven track record of leading ML engineeringteams and projects 4. Strong proficiency in Python and related MLframeworks (e.g., TensorFlow, PyTorch) 5. Experience withfine-tuning and deploying large language models 6. Expertise indeveloping and optimizing inference engines 7. Solid understandingof data processing techniques and best practices 8. Familiaritywith Agile development methodologies 9. Excellent communication andleadership skills 10. Ability to work in a fast-paced,collaborative environment Some of the benefits you’ll enjoy workingwith us: 1. The chance to join an organization with triple-digitgrowth that is changing the paradigm on how software products arebuilt. 2. The opportunity to form part of an amazing, multiculturalcommunity of tech experts. 3. A highly competitive compensationpackage. 4. A flexible and remote working environment. Come andjoin our #ParserCommunity. #J-18808-Ljbffr IT