Data Scientist (Senior & Tech Lead)

Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.As a Data Scientist at Valleysoft, you will play a key role in helping our clients understand complex data, develop analytical models, and derive actionable business insights. Your expertise in statistical modeling, machine learning, and data analysis will directly contribute to the success of our data-driven initiatives.The ideal candidate will have a solid background in data science with proficiency in statistical methods and machine learning techniques. You should possess strong analytical skills and a passion for turning data into impactful insights. If you're eager to tackle complex problems and contribute to a dynamic team, we would love to hear from you!RequirementsKey Responsibilities:LLM Pre-Training & Fine-Tuning:Lead the pre-training of Large Language Models (LLMs) on large-scale datasets, employing cutting-edge techniques to improve model generalization and robustnessOversee the fine-tuning of LLMs for specific tasks and applications, ensuring that models are optimized for accuracy, relevance, and performanceLLM Application Development & Productionisation:Develop and deploy applications leveraging LLMs, from initial concept through to production, ensuring scalability, efficiency, and robustnessManage the full lifecycle of LLM application development, including data preparation, model training, evaluation, deployment, and monitoring in production environmentsAgents & Workflow Integration:Design and implement intelligent agent workflows that integrate LLMs into larger AI systems, enabling complex decision-making and task automationCollaborate with cross-functional teams to integrate LLM-based agents into existing systems, optimizing performance and user experienceGenerative AI & Advanced Applications:Innovate and implement state-of-the-art Generative AI techniques, such as transfer learning and few-shot learning, to enhance the capabilities of LLMsBuild advanced LLM-based applications for diverse use cases, including but not limited to text generation, summarization, and conversational AIData Processing & Pipeline Management:Develop and maintain robust data pipelines that ensure the efficient processing, organization, and management of large datasets used in LLM pre-training and fine-tuningWork closely with data engineers to ensure seamless data integration and optimal resource utilization throughout the AI/ML lifecycleCollaboration & Communication:Collaborate with AI/ML engineers, software developers, product managers, and other stakeholders to bring LLM applications from concept to productionCommunicate complex technical concepts to both technical and non-technical audiences, providing actionable insights and recommendationsResearch & Development:Stay at the forefront of advancements in Generative AI, LLMs, and related fields, applying this knowledge to drive innovation in LLM applicationsExperiment with novel techniques and tools to push the boundaries of what is possible with LLMs and their applicationsQualifications:Education:Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. A Ph.D. is a plusExperience:5 - 12 Years Proven experience in data science, AI/ML, with a strong focus on Generative AI and LLMs, including pre-training, fine-tuning, and productionisationDemonstrated experience in developing and deploying LLM-based applications, including full lifecycle management from data to productionProficiency in Python, TensorFlow, PyTorch, and other relevant ML frameworksTechnical Skills:Deep understanding of NLP, deep learning, transformer models, and intelligent agent workflowsExpertise in data preprocessing, feature engineering, and the management of large-scale datasetsFamiliarity with cloud platforms (AWS, GCP, Azure) and MLOps practicesSoft Skills:Strong analytical and problem-solving skills with the ability to think critically and creativelyExcellent communication skills, with the ability to present complex ideas clearlyAbility to work in a dynamic environment, managing multiple projects and prioritiesBenefitsPrivate Health InsuranceTraining & DevelopmentCompetitive salary and benefits packageOpportunities for professional growth and development in a cutting-edge fieldA collaborative and inclusive work environmentThe chance to work on impactful projects with a team of passionate experts