Senior ML Engineer

Key Skills

AWS, Azure, C++, Docker, GoLang, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, MongoDB, NoSQL, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow

Job Description

 Embark on a groundbreaking journey as a Senior ML Engineer at Qlik, driving innovation in AI products within the data and analytics realm.

Join a dedicated engineering team focused on crafting industry-leading AI solutions, empowering customers to adeptly tackle organizational challenges through responsible and ethical AI implementation.

Join our mission to pioneer the combination of structured and unstructured data to unlock new use cases and hidden insights. Build out semantic search capability on our platform. Translate natural language to analytic queries and learn from user behavior to improve future responses. Employ chain-of-thought agents and routers to extend AI’s ability to solve an ever-increasing set of complex challenges.

What makes this role interesting

• Innovative AI Landscape: Shape the future of AI at Qlik by developing cutting-edge products in collaboration with a dynamic team, directly impacting how organizations navigate the AI landscape.
• Multicultural Collaboration: Thrive in a creative, team-oriented culture that values diversity and continuous improvement. Engage with a globally dispersed team, adding a positive, multicultural twist to your work.
• Strategic Impact: Be at the forefront of Qlik's strategic investment in AI, contributing to the development of next-generation technologies that redefine the future of AI.

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

• AI Solution Crafting: Design, develop, and maintain a suite of AI products addressing diverse use cases, including predictive, generative, and classification scenarios. Your work will be instrumental in solving complex challenges.
• Collaborative Innovation: Collaborate with data scientists, software engineers, and domain experts to understand user requirements, implementing user-friendly AI solutions that align with our AI vision.
• Continuous Improvement: Identify and evaluate new technologies to enhance the performance, maintainability, and reliability of our machine learning systems. Apply best practices, including CI/CD, automation, and security, to ensure optimal outcomes.

We’re looking for a teammate with:

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

Preferred experience for this role:

• 5+ Experience working with large-scale data and distributed computing environments.
• 3+ years of experience working with containerization and orchestration tools (e.g., Docker, Kubernetes).
• 3+ years of experience developing end-to-end machine learning pipelines.
• Familiarity with one or more ML workflow orchestration frameworks (ex: MLFlow, Airflow, KubeFlow)
• Familiarity with an ML/GenAI platforms (e.g. Sagemaker, Bedrock, Vertex AI, Azure AI Studio)
• Familiarity with deep learning and neural network architectures

The location for this role is:

Bengaluru, Karnataka, India (Hybrid role)