Medior Data Scientist -Generative AI ID
Medior Data Scientist -Generative AI ID
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4-5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Work directly with internal customers to understand processes and systems.
- Be accountable for building responsible and costeffective generative AI solutions for millions of customers.
- Execute the building of reusable blocks that can be utilized by over 100 tech teams.
- Collaborate with team members to solve critical or complex problems.
- Design develop and deploy advanced Generative AI solutions.
- Dive deep into data to create scalable responsible solutions.
- At least 2 or more years of experience working as a Data Scientist or in a similar field.
- Strong programming skills with proficiency in Python (software engineering experience is a plus).
- Expertise in Git and CI/CD pipeline development.
- Experience with ETL processes data pipelines databases (SQL and NoSQL) and data lakes.
- Familiarity with cloud platforms preferably Azure.
- Proficiency in statistical modeling machine learning and deep learning.
- Solid understanding of NLP and LLMs with experience in working with Generative AI (OpenAI prompting etc.) strongly encouraged.
- Deploy tune and monitor models leveraging MLOps/DevOps.
- Build and bring to production clean wellstructured maintainable and testable solutions.
- Ensure components can be reused and standardized to support scale.
- Collaborate effectively with customers and team members.
- Communicate well in English both spoken and written.
- Stay curious and continuously seek to improve processes and solutions.
- Opportunity to work on cuttingedge Generative AI solutions.
- Collaborative and innovative work environment.
- Access to advanced tools and technologies.
- Support for professional growth and development.
- A chance to make a significant impact on millions of customers.
- Competitive compensation and benefits package.
As a Medior Data Scientist, you will: Work directly with internal customers to understand processes and systems. Be accountable for building responsible and cost-effective generative AI solutions for millions of customers. Execute the building of reusable blocks that can be utilized by over 100 tech teams. Collaborate with team members to solve critical or complex problems. Design, develop, and deploy advanced Generative AI solutions. Dive deep into data to create scalable, responsible solutions. What You Bring to the Table: At least 2 or more years of experience working as a Data Scientist or in a similar field. Strong programming skills, with proficiency in Python (software engineering experience is a plus). Expertise in Git and CI/CD pipeline development. Experience with ETL processes, data pipelines, databases (SQL and NoSQL), and data lakes. Familiarity with cloud platforms, preferably Azure. Proficiency in statistical modeling, machine learning, and deep learning. Solid understanding of NLP and LLMs, with experience in working with Generative AI (OpenAI, prompting, etc.) strongly encouraged. You should possess the ability to: Deploy, tune, and monitor models leveraging MLOps/DevOps. Build and bring to production clean, well-structured, maintainable, and testable solutions. Ensure components can be reused and standardized to support scale. Collaborate effectively with customers and team members. Communicate well in English, both spoken and written. Stay curious and continuously seek to improve processes and solutions. What we bring to the table: Opportunity to work on cutting-edge Generative AI solutions. Collaborative and innovative work environment. Access to advanced tools and technologies. Support for professional growth and development. A chance to make a significant impact on millions of customers. Competitive compensation and benefits package.
Employment Type
Full Time
