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Tech Stack
Tools & technologiesPySparkPythonSparkSQLTensorflow
About the role
Key responsibilities & impact- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
- Apply fundamental knowledge of programming languages for design specifications.
- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
- Serve as advisor or coach to new or lower level analysts
- Identify problems, analyze information, and make evaluative judgments to recommend and implement solutions
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Requirements
What you’ll need- experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
- Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
- Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
- Proficiency with tools and LLMs.
- Ability to work independently and collaboratively within a team.
Benefits
Comp & perks- N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
machine learningdeep learninglarge language modelsPythonSQLSparkPySparkTensorFlowprogramming solutionstesting and debugging
Soft Skills
consultingproblem-solvinganalytical skillscoachingcollaborationindependent workcommunicationevaluative judgmentrecommendation skillssupport
