Machine Learning Engineer
Machine Learning Engineer
Posted on :
20-12-2024
Employer Active
1 Vacancy
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Job Description
This role is for one of the Weekdays clients
We are seeking a curious and resilient Machine Learning Engineer who thrives in an environment of experimentation and rapid iteration. The ideal candidate is passionate about pushing the boundaries of AI challenging assumptions and learning from both successes and failures. If you believe in experimenting quickly and see every challenge as an opportunity to innovate we d love to have you on our team.
Key Responsibilities
- Adopt a fail fast learn faster mindset targeting a 2030% success rate for experiments while continuously improving the experimentation process for greater efficiency and insights.
- Develop rapid prototypes to solve business challenges using AI concepts focusing on iterative enhancements.
- Work with large complex datasets using SQL and data manipulation tools exploring unconventional methods and approaches.
- Apply statistical techniques machine learning algorithms and data visualization methods for exploratory data analysis uncovering unexpected insights.
- Build interpret and refine models using tools like PySpark and MLFlow testing new approaches and parameters regularly.
- Write clean modular and welldocumented code to facilitate collaboration and rapid iteration.
- Continuously evaluate and enhance existing models leveraging each iteration to drive improvement and learning.
Technical Skills
- Proficiency in prototyping and experimenting with large complex datasets using SQL.
- Expertise in implementing and iterating on machine learning models with a focus on quick experimentation cycles.
- Strong programming skills in Python and/or SQL with an emphasis on clean testable code for easy modification.
- Experience with data visualization techniques to quickly interpret and communicate experimental outcomes.
- Ability to deploy and iterate on AI solutions in cloud environments efficiently.
Soft Skills
- Passionate about experimentation viewing failures as critical learning opportunities.
- Excellent communication skills capable of articulating the value of experimentation to stakeholders.
- Comfortable with ambiguity and uncertainty embracing the iterative nature of R&D processes.
- Analytical thinker with the ability to approach problems from multiple perspectives and generate diverse solutions.
Preferred Qualifications
- Bachelor s or Master s degree in Data Science Computer Science Statistics Mathematics or a related field.
- At least 2 years of handson experience in data analysis modeling and developing AI solutions.
python,model development,code,prototyping,data analysis,sql,data visualization,cloud environment deployment,machine learning,statistical techniques,ml
Employment Type
Full Time
Key Skills
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