Jobs via Dice ยท 1 day ago
Data Scientist
Sunnyvale, CA
Full-time
Onsite
Senior Level
5+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, Intellisoft Technologies, is seeking a Data Scientist to lead the development of large-scale Generative AI systems for financial data analysis. The role involves collaborating with finance teams to enhance decision-making through data-driven solutions and leveraging advanced AI technologies.
Computer Software
Responsibilities
Lead high-caliber team to build large-scale Genai systems
Develop data science systems and tools for retail; e-commerce applications:
Leverage LLMS to summarize and build large scale applications
Establish cross-functional relationships to maintain win-win situation for the corporation
Collaborate with various product stake holders and business owners to formulate and productionize a solution
Qualification
Required
Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
5 years' experience in analytics related field
Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems
Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models
Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment
Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools
Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc
Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
Ability to clearly define problems, models and constraints from informal and flexible business requirements
Tech leadership with teamwork spirit, quick adaptation to new environment
Form collaborative working environment
Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines
Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability
Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders
Preferred
Experience with Big Data processing and feature engineering using Spark
Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
Hands on experience of designing and training large DL models on GPU
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase