Trainee Manual Qa Engineer

DescriptionJoin GlobalLogic to be a valid part of the team working on a huge software project for the world-class company providing M2M IoT 4G 5G modules e g to the automotive healthcare and logistics industries Through our engagement we contribute to our customer in developing the end-user modules firmware implementing new features maintaining compatibility with the newest telecommunication and industry standards as well as performing analysis and estimations of the customer requirements RequirementsBachelors or Masters degree in Computer Science Data Science Machine Learning or a related field 4 years of experience working with large language models LLMs or NLP-related technologies Solid understanding of prompt engineering principles and experience in optimizing prompts for tasks such as text generation classification and summarization Strong proficiency in Python and experience with machine learning libraries such as TensorFlow PyTorch Transformers or similar frameworks Experience with large-scale model training and fine-tuning for NLP tasks using tools like Hugging Face OpenAI or Google AI Solid understanding of natural language processing NLP techniques and algorithms including tokenization embeddings transformers and attention mechanisms Familiarity with cloud computing platforms e g AWS Google Cloud Azure for model training and deployment Experience in data preprocessing and handling large unstructured text datasets Strong problem-solving skills and the ability to work with complex unstructured data Good communication skills with the ability to present technical concepts to both technical and non-technical stakeholders Experience with transformer-based architectures such as GPT-3 BERT T5 or similar models Knowledge of distributed computing and working with large-scale training infrastructure e g using GPUs TPUs Familiarity with MLOps practices for model versioning deployment and monitoring Experience with model explainability techniques model debugging and interpretability Exposure to fine-tuning large models for specific industries or use cases e g healthcare finance Contributions to open-source projects or research publications in the NLP ML domain Job responsibilitiesAbout Role As an LLM Engineer you will work with cutting-edge NLP and machine learning technologies to build fine-tune and deploy state-of-the-art language models You will collaborate with cross-functional teams to create innovative solutions that leverage the power of large language models for a variety of applications Key Responsibilities Design develop and fine-tune large language models LLMs for various NLP tasks such as text classification sentiment analysis language generation question answering summarization and more Collaborate with data scientists researchers and software engineers to integrate LLMs into production environments and ensure they meet performance scalability and reliability requirements Conduct prompt engineering experiments to improve model outputs including exploring different prompt formats phrasing and model configurations Experiment with and implement the latest advancements in natural language processing NLP and machine learning to improve model performance and efficiency Preprocess and clean large-scale text datasets ensuring they are suitable for training and fine-tuning LLMs Optimize LLMs for speed accuracy and memory efficiency ensuring that they can run effectively in a production environment Evaluate and benchmark different LLM architectures such as transformer-based models e g GPT BERT T5 and apply appropriate strategies for different business needs Conduct testing validation and troubleshooting of models to ensure robustness and reliability Stay up-to-date with developments in the field of NLP deep learning and large language models to ensure that our solutions remain competitive and innovative Collaborate with product managers and other stakeholders to define project goals requirements and timelines What we offerCulture of caring At GlobalLogic we prioritize a culture of caring Across every region and department at every level we consistently put people first From day one you ll experience an inclusive culture of acceptance and belonging where you ll have the chance to build meaningful connections with collaborative teammates supportive managers and compassionate leaders Learning and development We are committed to your continuous learning and development You ll learn and grow daily in an environment with many opportunities to try new things sharpen your skills and advance your career at GlobalLogic With our Career Navigator tool as just one example GlobalLogic offers a rich array of programs training curricula and hands-on opportunities to grow personally and professionally Interesting meaningful work GlobalLogic is known for engineering impact for and with clients around the world As part of our team you ll have the chance to work on projects that matter Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what s possible and bring new solutions to market In the process you ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today Balance and flexibility We believe in the importance of balance and flexibility With many functional career areas roles and work arrangements you can explore ways of achieving the perfect balance between your work and life Your life extends beyond the office and we always do our best to help you integrate and balance the best of work and life having fun along the way High-trust organization We are a high-trust organization where integrity is key By joining GlobalLogic you re placing your trust in a safe reliable and ethical global company Integrity and trust are a cornerstone of our value proposition to our employees and clients You will find truthfulness candor and integrity in everything we do About GlobalLogicGlobalLogic a Hitachi Group Company is a trusted digital engineering partner to the world s largest and most forward-thinking companies Since 2000 we ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products platforms and services