PGLS
PGLS is a comprehensive language solutions provider dedicated to bridging language gaps for organizations of all sizes. Specializing in translation, localization, interpreting, and language training services, PGLS caters to various industries including government, healthcare, education, and technology. With a commitment to personalized service and scalability, PGLS is established as a trusted partner, leveraging over 150 years of combined industry experience to deliver accurate and culturally relevant language services that empower organizations to succeed in global markets.
Translation • Localization • Interpreting • Language Training
Junior Full-Stack AI/ML Engineer
March 14
PGLS
PGLS is a comprehensive language solutions provider dedicated to bridging language gaps for organizations of all sizes. Specializing in translation, localization, interpreting, and language training services, PGLS caters to various industries including government, healthcare, education, and technology. With a commitment to personalized service and scalability, PGLS is established as a trusted partner, leveraging over 150 years of combined industry experience to deliver accurate and culturally relevant language services that empower organizations to succeed in global markets.
Translation • Localization • Interpreting • Language Training
📋 Description
• Seeking a Junior Full-Stack AI/ML Engineer to join our R&D team. • Develop and test proofs of concept (POCs) for NLP and ML solutions. • Explore new AI concepts, fine-tune models, and develop applications. • Build and fine-tune large language models (LLMs) and multimodal AI models. • Experiment with generative AI, transformers, and prompt engineering techniques. • Implement workflow automation, CI/CD pipelines, and software engineering best practices. • Collaborate with external organizations and academic institutions on research initiatives. • Train and fine-tune models on cloud GPU services (Azure, AWS, GCP).
🎯 Requirements
• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field. • 2+ years of experience in machine learning, natural language processing (NLP), or computational linguistics. • Proficiency in Python (required); familiarity with C/C++, Java, JavaScript, or SQL is a plus. • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn. • Knowledge of cloud services (Azure, AWS, GCP) and model deployment. • Strong understanding of data pipelines, visualization tools, and workflow automation. • Excellent problem-solving skills, attention to detail, and ability to work independently. • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
🏖️ Benefits
• Health • Dental • 401k • Vision • Pet Insurance • PTO • Paid Holidays • flexible work schedule
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