Machine Learning Engineer

Key Skills

AI technology, AWS, Azure, C++, GoLang, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, MongoDB, NoSQL, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow

Job Description

Join Qlik as a ML Engineer and be at the forefront of shaping the future of AI in the data and analytics field. Contribute to developing innovative AI products, solving complex challenges, and pioneering the responsible and ethical implementation of AI.

What makes this role interesting

Diverse Use Cases: Design, develop, and maintain a set of AI products that address a diverse range of use cases, including predictive, generative, and classification scenarios.

Collaborative Innovation: Collaborate with a dynamic team of data scientists, software engineers, and domain experts to create user-friendly AI solutions.

Multicultural Environment: Be part of a multicultural and highly collaborative environment, contributing to a creative and team-oriented culture.

Pioneering Integration: Pioneer the combination of structured and unstructured data, unlocking new use cases and hidden insights.

Semantic Search Development: Build semantic search capabilities on our platform, translate natural language into analytic queries, and continuously improve AI responses based on user behaviour.

Here’s how you’ll be making an impact:

• Strategic Footprint: Directly influence the footprint of Qlik's AI products, contributing to a strategic investment in AI.
• User-Centric Solutions: Collaborate with cross-functional teams to understand user requirements and implement impactful and user-friendly AI solutions.
• Critical Functionality Delivery: Work with product design teams to deliver critical functionalities supporting our AI vision.
• Technology Evaluation: Identify and evaluate new technologies, enhancing the performance, maintainability, and reliability of our machine learning systems.
• Best Practices Application: Apply software engineering best practices, including CI/CD, automation, monitoring, and security.

We’re looking for a teammate with:

• Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience building production-quality AI/ML software.
• Programming proficiency in languages like Python, Golang, Java, C++.
• Experience with structured data using popular machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn).
• Familiarity with foundational models like Llama, Falcon, OpenAI, Hugging Face, Mistral, etc.
• 3+ years of experience with cloud service providers (AWS, Azure, Google Cloud).
• Expertise in working with unstructured data sources, including RAG, vector databases, knowledge graphs, grounding, prompt engineering, chain-of-thought, pre-training, and fine-tuning.
• Familiarity with SQL programming and SQL/NoSQL databases (e.g., MongoDB, ElasticSearch).
• Demonstrated ability to stay abreast of emerging trends and techniques in the field of AI.

The location for this role is:

Lund, Sweden