Scikit Learn Jobs in Sri Lanka
6 Jobs Found | Sort By : Relevance | Posted Date
Less results matching your search!
Try removing some of the filters to get more results
No results matching your search!
Try removing some of the filters to get more results
Intern Data Science
Axiata Digital Labs
Key ResponsibilitiesSupport the design development and testing of Data Science and AI solutions under the guidance of senior team membersAssist in data collection preprocessing cleansing and exploratory data analysis activitiesContribute to the development of Machine Learning and Deep Learning model...
Tech Lead Data Science
Axiata Digital Labs
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML) Deep Learning (DL) Generative AI and Agentic AI use casesLead the end-to-end model lifecycle management including data ingestion feature engineering model development eval...
Associate Architect Data Science
Axiata Digital Labs
Key ResponsibilitiesDefine and drive enterprise-level architecture for Data Science AI/ML Generative AI and Agentic AI solutions ensuring alignment with organizational strategy and technology roadmapsLead the design of scalable secure and high-performance AI platforms covering data model orchestrati...
Applied Machine Learning Scientist Ii (us)
Td Bank
Work Location:Charlotte North Carolina United States of AmericaHours:40Pay Details:$96130 - $155950 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our...
Ai Data Scientist
Ifs
As a data scientist (AI/ML Engineer) you will be responsible for developing and deploying machine learning models and AI-driven solutions to support our HR and Facilities teams and systems. You will work closely with cross-functional teams including HR Facilities Finance IT and business analysts to...
Internal Test Job 3
Axiata Digital Labs
Key Responsibilities Design develop and optimize classical machine learning models (e.g. regression classification clustering time-series forecasting anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured unstructured and multimodal d...