We seek an ambitious Data Scientist with a strong background in machine learning, deep learning, and generative AI.
The ideal candidate will have at least 4 years of industry experience and a proven track record of developing and deploying end-to-end solutions in a production environment.
Responsibilities:
Work on data science and engineering aspects of projects.
Develop and deploy AI models and algorithms.
Research and identify solutions for complex problems.
Communicate technical concepts to both technical and non-technical stakeholders.
Drive projects from conception to production.
Encourage creative thinking and nurture innovative ideas within the team.
Foster collaboration between different departments.
The ideal candidate will have at least 4 years of industry experience and a proven track record of developing and deploying end-to-end solutions in a production environment.
Responsibilities:
Work on data science and engineering aspects of projects.
Develop and deploy AI models and algorithms.
Research and identify solutions for complex problems.
Communicate technical concepts to both technical and non-technical stakeholders.
Drive projects from conception to production.
Encourage creative thinking and nurture innovative ideas within the team.
Foster collaboration between different departments.
Requirements:
5+ years of industry experience.
Strong background (both theoretical and practical) in deep learning algorithms.
Experience developing end-to-end solutions in production.
Proven experience in Python, particularly in production environments.
Experience with LLMs.
Proficiency with cloud services and Docker.
Excellent communication skills.
High level of English proficiency.
Ambitious and business-oriented mindset.
Preferred Qualifications:
Experience with MLOps principles and practices.
Experience with Agents, Prompt Optimization.
Proficiency in the data engineering side of projects.
Participation in meetups or conferences is an advantage.
5+ years of industry experience.
Strong background (both theoretical and practical) in deep learning algorithms.
Experience developing end-to-end solutions in production.
Proven experience in Python, particularly in production environments.
Experience with LLMs.
Proficiency with cloud services and Docker.
Excellent communication skills.
High level of English proficiency.
Ambitious and business-oriented mindset.
Preferred Qualifications:
Experience with MLOps principles and practices.
Experience with Agents, Prompt Optimization.
Proficiency in the data engineering side of projects.
Participation in meetups or conferences is an advantage.
This position is open to all candidates.
