Data Scientist/AI Engineer
Job Description:
• Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.
• Develop and optimize prompts and chains.
• Build applications to simplify analytics and improve the efficiency of data processing.
• Work with structured and unstructured data.
• Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
• Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.
• Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines.
Requirements:
• Master’s or PhD in data science or related field
• Hands-on experience in data science roles
• Proficiency in Python and/or R for data analysis, modelling, and visualization
• Experience working with LLM APIs and building LLM-based applications and frameworks
• Experience with natural language processing, including topic modelling, text classification, and summarization
• Ability to write clean, maintainable, well-documented code.
Benefits:
• Paid vacation, holidays and sick days
• Flexible working arrangement available
• Group medical, dental and vision insurance
• Company-paid life and disability insurance
• Paid parental leave
• 401(k) with company match
Apply Now
Apply Now
• Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.
• Develop and optimize prompts and chains.
• Build applications to simplify analytics and improve the efficiency of data processing.
• Work with structured and unstructured data.
• Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
• Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.
• Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines.
Requirements:
• Master’s or PhD in data science or related field
• Hands-on experience in data science roles
• Proficiency in Python and/or R for data analysis, modelling, and visualization
• Experience working with LLM APIs and building LLM-based applications and frameworks
• Experience with natural language processing, including topic modelling, text classification, and summarization
• Ability to write clean, maintainable, well-documented code.
Benefits:
• Paid vacation, holidays and sick days
• Flexible working arrangement available
• Group medical, dental and vision insurance
• Company-paid life and disability insurance
• Paid parental leave
• 401(k) with company match
Apply Now
Apply Now