About this role
The team is seeking a skilled Data & ML Engineer to join their team. The ideal candidate will have a strong background in data engineering and machine learning, with a focus on developing and deploying data-driven solutions.
Key Responsibilities:
- Design and implement data pipelines on cloud platforms such as Azure, AWS, or Google Cloud.
- Develop and deploy machine learning models for real-world applications.
- Create and maintain APIs and microservices for data products.
- Collaborate with cross-functional teams to integrate data solutions.
- Implement DevOps practices, including CI/CD and Infrastructure as Code.
Required Skills & Qualifications:
- Minimum of 5 years of experience in data engineering.
- At least 3 years of experience in machine learning engineering.
- Strong proficiency in Python, Spark, Databricks, and PySpark.
- Experience with both SQL and NoSQL databases.
- Familiarity with cloud platforms and data processing frameworks.
Experience:
- 5-8 years of relevant experience in data engineering and machine learning.
What we offer:
- Opportunity to work on cutting-edge technology projects.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.