Data Scientist / Engineer - AI/ML (Dataiku)

Job Summary:

AI/ML

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.