Senior Machine Learning Engineer

About Us:Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process.About The Role:We're seeking a Machine Learning Engineer who thrives on innovation and complex problem-solving beyond conventional coding. Ideal candidates should possess a profound understanding of machine learning algorithms, data structures, and modeling techniques, with a zest to architect and refine the core of our AI-driven solutions.Qualifications :4+ years of experience in developing and implementing machine learning algorithms and models.Advanced proficiency in Python, including experience with ML libraries such as Scikit-learn, TensorFlow, and PyTorch. Demonstrable ability to write clean, maintainable, and efficient code.Experience with advanced text mining methods and the ability to leverage machine learning algorithms to uncover insights, trends, and patterns within unstructured text data.Experience with Natural Language Processing (NLP), including the use of Large Language Models (LLMs) like OpenAI's GPT-3 for text generation, summarization, and analysis.Practical experience with cloud services (AWS, Azure, GCP) including compute, storage, and ML services. Ability to design and manage cloud infrastructure for machine learning workloads.Expertise in deep learning for NLP with Transformers (BERT, GPT, T5), RNNs, and LSTMs, and skill in fine-tuning these models for text classification, summarization, and generation tasks.Proficiency in ML experimentation, A/B testing, and model evaluation to inform iterative improvements.Benefits:Competitive salary and equityExtensive professional development opportunities and resources for continuous learningDynamic and intellectually stimulating work environment with a team of talented engineersOpportunities to shape the direction of the company and leave a lasting impact

#J-18808-Ljbffr