Data Scientist
Core
Develop, implement, and optimize machine learning models and algorithms for various business applications, building end-to-end pipelines that include crawling data, processing, and applying AI models.
Role type
Data Scientist (Gen AI & MLOps)
Builds
Gen AI products for All Source Intelligence (ASI) and digital forensics
Domain
Cybersecurity, Generative AI, Data Engineering
Deliverable
production ML models
Required skills
machine learning, deep learning, generative AI, MLOps, model serving and deployment, SQL, NoSQL databases (Neo4j, Elasticsearch, MySQL), data engineering frameworks (Airflow, Spark), Git
Preferred skills
Gen AI libraries (LangChain, LlamaIndex, CrewAI)
Technologies
LangChain, LlamaIndex, CrewAI, Neo4j, Elasticsearch, MySQL, Airflow, Spark, Git
Responsibilities
Develop and optimize machine learning models; Build end-to-end data pipelines; Analyze large datasets to extract insights; Collaborate with software engineers to deploy models; Utilize generative AI techniques to create and enhance datasets; Maintain version control and document methodologies and metrics
Seniority
Junior, hands-on IC
