Junior ML DataOps Engineer
Role in brief
Kindred Group is seeking a Junior ML DataOps Engineer to enhance data management for their Sportsbook product. Ideal candidates have programming skills in Python or Java and a strong interest in data operations and machine learning.
About the role
As a Junior ML DataOps Engineer at Kindred Group, you will play a key role in optimizing data management processes for their Sportsbook product. Your responsibilities will include building and improving tools and workflows for data scientists and engineers, as well as automating processes to enhance data quality.
You will work within a collaborative engineering team, where you will have the opportunity to explore new technologies, including Generative AI. This position is designed for those eager to develop their skills in software engineering, data engineering, and cloud infrastructure, all within a dynamic and regulated environment.
Skills that matter here
- Python: This role requires good programming skills in Python to build and improve data management tools.
- Java: Proficiency in Java is also valuable for developing infrastructure and workflows.
- DataOps: An interest in DataOps will help in automating processes and improving data quality.
- DevOps: Understanding DevOps principles is essential for contributing to CI/CD pipelines.
- MLOps: Familiarity with MLOps practices will support the integration of AI and machine learning.
- AWS: Experience with AWS is beneficial for cloud computing tasks in this role.
Who this role suits
- Candidates should be proactive problem solvers with a growth mindset.
- Those who thrive here are enthusiastic about learning and exploring new technologies.
- Good communication and interpersonal skills are essential for collaboration within the team.
- A foundational understanding of software engineering principles is important for success.
From the employer
Responsibilities
- Build, operate and improve tools, infrastructure, and workflows for Data Scientists, Data Engineers, and Machine Learning Engineers.
- Automate processes and improve data quality.
- Develop testing and monitoring capabilities.
- Explore and adopt new technologies, including Generative AI.
- Contribute to Data Lakehouse capabilities and develop tooling for efficient team operations.
Requirements
- Good programming skills in Python or Java.
- Understanding of software engineering fundamentals.
- Interest in DataOps, DevOps, MLOps, or ML Engineering.
- Familiarity with CI/CD pipelines.
- Understanding of data pipelines and data quality.
- Interest in AI and machine learning.
- Familiarity with cloud computing, ideally AWS.
- Proactive problem-solving approach.
- Good communication and interpersonal skills.
- Growth mindset and enthusiasm for learning.
Conditions
- Opportunity to develop skills across software engineering, data engineering, cloud infrastructure, and AI operations.
- Collaborative engineering team environment.
- Focus on merit and skills in the hiring process.
Questions about this role
Is this position remote?
Yes, this role is fully remote.
What level of experience is required?
This is a junior position, so prior experience is not strictly required.
How can I apply for this position?
You can apply through the Kindred Group careers page at the provided link.
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