MLOps/ML Engineer with Dataiku DSS

Role & responsibilities

We are looking for MLOps/ML Engineer with Dataiku DSS platform with MNC company for permanent position, Remote.

Preferred candidate profile

We are seeking a skilled MLOps/ML Engineer to serve as our subject matter expert for Dataiku DSS. In this pivotal role, you will manage and scale our end-to-end machine learning operations, all of which are built on the Dataiku platform. Key responsibilities include designing automated data pipelines, deploying models as production APIs, ensuring the reliability of scheduled jobs, and championing platform best practices. Extensive, proven experience with Dataiku is mandatory.

• Data Pipeline Development: Design and implement Extract, Transform, Load (ETL) processes to collect, process, and analyze data from diverse sources.
• Workflow Optimization: Develop, configure, and optimize Dataiku DSS workflows to streamline data processing and machine learning operations.
• Integration: Integrate Dataiku DSS with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies such as Snowflake, Hadoop, and Spark.
• AI/ML Model development & Implementation: Implement and optimize machine learning models within Dataiku for predictive analytics and AI-driven solutions.
• MLOps & Data Ops: Deployment of data pipelines and AI/ML models within the Dataiku platform.
• Dataiku Platform Management: Build, Manage & Support Dataiku platform.
• Automation: Automate data workflows, monitor job performance, and ensure scalable execution.
• Customization: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities.
• Dataiku Project Management: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities.

Required Skills and Qualifications:

• Experience Level: 2 to 6 years of hands-on experience with Dataiku DSS platform and data engineering.
• Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Technical Proficiency:
• Experience with Dataiku DSS platform.
• Strong programming skills in Python and SQL.
• Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
• Analytical Skills: Ability to analyze complex data sets and provide actionable insights.
• Problem-Solving: Strong troubleshooting skills to address and resolve issues in data workflows and models.
• Communication: Effective verbal and written communication skills to collaborate with team members and stakeholders.