博彥科技 算法 招聘（工資待遇要求）

朝九晚六，彈性工作制，不加班；福利好
關(guān)鍵：NLP，
Responsibilities
? Performing advanced data analysis, modeling, machine learning to develop predictive prescriptive models that drive business outcomes.
? Collecting, cleaning, preprocessing large datasets, ensuring data quality reliability.
? Developing implement machine learning algorithms AI solutions to solve complex business problems.
? Creating informative compelling data visualizations to communicate results insights to stakeholders effectively.
? Collaborating with cross-functional teams, including data engineers, business analysts, domain experts, to identify opportunities address business challenges.
? Staying up-to-date with the latest trends techniques in data science contribute to the development of innovative solutions.
? Assist in the deployment of machine learning models production environments.
? Maintaining comprehensive documentation of projects, models, code fknowledge sharing reproducibility.

Requirements
? Have Bachelor’s Masters in Data Science, Computer Science, Math, Statistics, a related field.
? Have proven experience (2+ years) working in data science, machine learning, AI. With a track record of delivering impactful projects.
? Have proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
? Have experience with generative AI models techniques (e.g., LLMs, GANs) fcontent generation.
? Have expertise in prompt engineering ffine-tuning language models like ChatGPT, Claud, Gemini, similar models.
? Have knowledge of statistical analysis, machine learning algorithms, data manipulation techniques.
? Have exceptional problem-solving skills the ability to work independently as part of a team.
? Have excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.
? Experience with RAG Agent is a plus.
? Experience with NoSQL DBs, including but not limited to MongoDB, OpenSearch, LanceDB, SOLR, is a plus.
? Experience with Knowledge Graph, Graph Embedding GNN is a plus.
? Experience with Graph DB, including but not limited to Dgraph, Neo4j, Neptune, is a plus.