Data Scientist Machine Learning Engineer short-term 4-6 weeks
Data Scientist Machine Learning Engineer short-term 4-6 weeks
Posted on :
18-10-2024
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1 Vacancy
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Job Description
Data Scientist / Machine Learning Engineer
We are seeking a talented Lead Data Scientist/ML Engineer to join an embedded team. In this role you will be crucial in developing and implementing machine learning solutions for several projects. Your expertise will be essential in driving the success of the company initiatives.
About the Customer
The client is the largest Google digital consulting agency in Europe operating only in the Google cloud.
Requirements
- Background in the Data Science/Machine Learning area (4 years)
- Proven experience starting new Machine Learning projects from scratch: from problem analysis and data collection to PoC and deployment to production
- Expertise with Generative AI(RAG applications Prompt Engineering)
- Confidence in Python Pandas Scikitlearn Matplotlib SQL etc.
- Competency in Machine Learning algorithms their limitations and use cases
- Knowledge of how to set up MLOps
- A sharpminded person who can dive into the business domain and emerge with ideas on how to use data to make the business more effective
- Creative person who can convert the data into a story with plots and insights
- Strong communicator who can speak to a client facetoface understand business needs and explain the solution in an easily digestible way
Nice to Have
- MS or BS in computer science or related field
- Expertise in ML/DL frameworks (PyTorch TensorFlow etc.)
- Familiarity with microservice architecture task queues (e.g. Celery) cloud (e.g. AWS or Azure) Docker OS and networking basics and database systems (e.g. Postgres Kaggle or GitHub) account with projects that demonstrate skill level
English level
UpperIntermediate
Responsibilities
- Lead an AI development team
- Understand business objectives and models that help achieve them
- Propose and realize new ideas to benefit our customers and the company
- Fully cover (develop maintain and monitor) the entire lifecycle of created models
- Propose new research improvements and best practices
- Share knowledge ideas and new approaches with team members
- Stay uptodate with the latest findings in applied data science
Employment Type
Full Time
Key Skills
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