Senior Generative AI/ML Engineer
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About the job
Job Description Responsibilities: Develop and implement statistical models and machine learning algorithms to analyze large datasets. • Utilize Python to write robust, efficient, and maintainable code for data analysis and model development. • Apply knowledge of LLMs to enhance natural language processing capabilities within our platform. • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. • Communicate complex data insights to stakeholders in a clear and actionable manner. • Stay current with the latest developments in data science, machine learning, and LLMs. Required Qualifications:• Bachelor's or master’s degree in computer science, Data Science, Statistics, or a related field. • 6+ years of working in an analytics or consulting role • Proven experience with Python programming and familiarity with data science libraries such as Pandas, NumPy and Scikit-Learn. • Strong understanding of LLMs and their applications in the industry. • Experience with data visualization tools and techniques. • Excellent problem-solving skills and the ability to work independently on complex tasks. • Strong communication skills, with the ability to translate technical concepts to non-technical audiences. Preferred Qualifications:• Experience with cloud computing services, such as Azure or AWS. • Familiarity with big data technologies like Hadoop or Spark. • Contributions to open-source projects or a strong GitHub portfolio.
Requirements
- GenAI
- LLM
- Python programming
- Data science libraries
Qualifications
- Bachelor's degree
- Master's degree
- Computer Science
- Data Science
- Statistics
Preferred Technologies
- GenAI
- LLM
- Python programming
- Data science libraries
Benefits
- Private medical plans
- Great compensation package
- Retirement savings plans
- Paid learning days
- Flexible workplaces
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About the company
We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.
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