Posted:2 days ago|
Platform:
On-site
Part Time
Role Proficiency:
Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes.
Outcomes:
Measures of Outcomes:
Outputs Expected:
Determine Specific Data needs:
Critical business insights:
Code:
Create/Validate Data Models:
Predictive analytics:
Prescriptive analytics:
Code Versioning:
Create Reports:
Document:
Manage knowledge:
Status Reporting:
Skill Examples:
Knowledge Examples:
Knowledge Examples
Additional Comments:
• 5-10 years’ experience in data science/AI-ML/Generative AI development. • Prior hands-on experience in developing complex AI/ML solutions as an AI/Data Scientist or Engineer, in both proof of concept and production environments • Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, and various use cases. • Ability to apply methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis. • Strong background in statistics and probability, including experience with descriptive and inferential statistical analysis. • Proficient in a core programming language such as Advanced Python, JavaScript's/ React/Angular, Scala, Spark • Experience with one or multiple databases like SQL server, Postgres, Click house, Presto • In-depth understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like Sage Maker. • Familiarity with Visualization Tools like Tableau, PowerBI • Experience in discovering use cases, scoping, and delivering complex solution architecture designs to diverse audiences, adapting technical depth as needed. • Understanding of DataOps, MLOps, LLMOps, Observability, DevOps, and SRE concepts. • Master’s or Bachelor’s degree in Data Science, Computer Science, or a relevant field. • Strategic thinker with excellent analytical and problem-solving skills. • Strong communication skills, able to drive results & capable of interacting/collaborating with both business decision-makers and other AI/ML experts/coders.
Data Science,Artificial Intelligence,Machine Learning
UST Global
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