Dataiku Developer

Inviting applications for the role of Manager, Dataiku!

We are seeking a skilled Data Scientist with a strong background in leveraging Dataiku's platform to develop and deploy Generative AI solutions. The ideal candidate will have hands-on experience with large language models (LLMs), prompt engineering, and integrating AI applications within enterprise environments.

Responsibilities

• Develop Generative AI Solutions: Design and implement end-to-end GenAI applications using Dataiku, incorporating LLMs for tasks such as text summarization, classification, and sentiment analysis.

• Prompt Engineering: Utilize Dataiku's Prompt Studios to create, test, and optimize prompts for various LLMs, ensuring high-quality and cost-effective outputs.Discover Dataiku+1Dataiku+1

• LLM Integration: Integrate third-party LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock, Azure) into Dataiku workflows, focusing on secure and efficient orchestration.Remotive+2Simplify Jobs+2Welcome to the Jungle+2

• Agent Development: Build and maintain AI agents within Dataiku that can autonomously interact with data sources, perform tasks, and provide insights.Dataiku Blog+5Simplify Jobs+5Welcome to the Jungle+5

• Data Pipeline Management: Construct robust data pipelines for data ingestion, transformation, and preparation, ensuring data quality and consistency.

• Web Application Development: Develop intuitive user interfaces for AI applications using Dataiku's webapps framework, incorporating HTML, CSS, and JavaScript as needed.Remotive+2Simplify Jobs+2Welcome to the Jungle+2

• Collaboration and Governance: Work closely with cross-functional teams to maintain metadata, ensure compliance with data governance policies, and support AI-driven process optimization.Simplify Jobs+2Remotive+2Welcome to the Jungle+2

• Continuous Learning: Stay updated with the latest trends in Generative AI, LLMs, and Dataiku's evolving capabilities to drive innovation and efficiency.Dataiku

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Qualifications we seek in you!

Minimum Qualifications

• BTech or MS– CS / AIML / Data Science

• Masters in Stats / Data Science

Preferred Qualifications/ Skills

• Good understanding and work experience in Pharma / Lifesciences / Healthcare – commercial analytics good to have

• Experience: Relevant (3–8) years in data science roles, with a focus on machine learning and AI applications.

• Dataiku Proficiency: Demonstrated expertise in using Dataiku for developing and deploying AI solutions, including experience with its LLM Mesh and Prompt Studios.Dataiku Blog+7Discover Dataiku+7Dataiku+7

• Programming Skills: Strong proficiency in Python, with experience in data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks.

• LLM Knowledge: Hands-on experience with large language models and familiarity with prompt engineering techniques.

• Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or GCP, and experience integrating their AI services into applications.

• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.