What are the responsibilities and job description for the Senior Machine Learning Engineer position at Qlik?
Remote
Duties
Design, develop, optimize generative AI based applications, leveraging Large Language Models, and other Machine Learning and Natural Language Processing Techniques for developing Qlik AI applications. Research state-of-the-art AI techniques and algorithms including evaluation tools, Agentic Frameworks and stay up to date with advancements in AI technology. Develop and maintain the highest quality of code and deployments for the Qlik AI platform and applications. Work with various NLP, open-source libraries in Python and Go to develop Qlik’s AI applications. Collaborate with other engineers in code reviews, design, technical discussions, feature development, mentor and provide guidance to junior engineers in the Team. Develop and maintain technical documentation and presentations for the team. Maintain and develop strong experience and skills in Python, machine learning, LLM and generative AI-related technologies. Work on deploying and expertise in cloud platforms especially in the areas of cost, optimization and hosting Qlik AI applications in cloud environments. Work remotely. $154-180K/year.
Requirements
Master’s degree in Information Science, Computer Science, or Data Science. 4 years in Machine Learning Scientist, Software Developer, or related role developing data science models and algorithms and ML pipelines. 1 year (may be concurrent with 4 years) in the following: (1) Data engineering, data curation for ML studies, and Python language ecosystem, including scikit-learn, NumPy, and TensorFlow or PyTorch, (2) NLP processing techniques, LangChain or LangGraph, Generative AI, and Prompt Engineering, (3) Tuning, working with and generating accurate responses with LLM’s, (4) At least one cloud platform, such as AWS, GCP, or Azure, including deploying and scaling micro-services using containerization techniques.
Duties
Design, develop, optimize generative AI based applications, leveraging Large Language Models, and other Machine Learning and Natural Language Processing Techniques for developing Qlik AI applications. Research state-of-the-art AI techniques and algorithms including evaluation tools, Agentic Frameworks and stay up to date with advancements in AI technology. Develop and maintain the highest quality of code and deployments for the Qlik AI platform and applications. Work with various NLP, open-source libraries in Python and Go to develop Qlik’s AI applications. Collaborate with other engineers in code reviews, design, technical discussions, feature development, mentor and provide guidance to junior engineers in the Team. Develop and maintain technical documentation and presentations for the team. Maintain and develop strong experience and skills in Python, machine learning, LLM and generative AI-related technologies. Work on deploying and expertise in cloud platforms especially in the areas of cost, optimization and hosting Qlik AI applications in cloud environments. Work remotely. $154-180K/year.
Requirements
Master’s degree in Information Science, Computer Science, or Data Science. 4 years in Machine Learning Scientist, Software Developer, or related role developing data science models and algorithms and ML pipelines. 1 year (may be concurrent with 4 years) in the following: (1) Data engineering, data curation for ML studies, and Python language ecosystem, including scikit-learn, NumPy, and TensorFlow or PyTorch, (2) NLP processing techniques, LangChain or LangGraph, Generative AI, and Prompt Engineering, (3) Tuning, working with and generating accurate responses with LLM’s, (4) At least one cloud platform, such as AWS, GCP, or Azure, including deploying and scaling micro-services using containerization techniques.
Salary : $154,000 - $180,000