Job Summary: As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights. Key Responsibilities: AI/ML Model Development & Deployment: Design, develop, and deploy machine learning models and AI solutions using Dataiku . Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models. Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance. Work with stakeholders to identify and prioritize AI use cases that align with business objectives. Collaboration & Knowledge Sharing: Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows. Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku . Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku . Data Management & Feature Engineering: Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks. Utilize Dataiku’s data wrangling capabilities to clean, transform, and organize data for efficient processing. Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development. Model Monitoring & Optimization: Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights. Implement strategies for model versioning, testing, and monitoring performance over time. Ensure that models adhere to business requirements and ethical AI practices. Innovation & Research: Keep up with the latest trends and advancements in AI/ML techniques and tools. Explore new AI/ML algorithms and methodologies to improve model performance. Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML. Required Skills & Qualifications: Experience: 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale. Hands-on experience working with Dataiku for building, deploying, and automating ML workflows. Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment. Technical Skills: Proficiency in Python , R , or similar programming languages used for AI/ML. Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment. Knowledge of data preprocessing, feature engineering, and optimization techniques. Familiarity with model monitoring, model lifecycle management, and version control in data science projects.
