
Data Driven Innovation
10 hours ago
Are you a skilled engineer looking to advance your career in machine learning?
We are seeking an experienced ML Engineer to join our team. As an ML Engineer, you will be responsible for building and maintaining reusable components for machine learning pipelines and data science use cases. You will work closely with senior engineers and data scientists to develop model tracking, versioning, and deployment workflows using MLflow and Databricks.
Key Responsibilities:
* Build and maintain reusable components for machine learning pipelines and data science use cases
* Develop model tracking, versioning, and deployment workflows using MLflow and Databricks
* Support data scientists across teams with infrastructure needs, connector usage, and dataset preparation
* Help prototype and deploy internal tools such as Streamlit apps to visualize model results or enable user interactions
Requirements:
* Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
* 3-5 years of experience in ML engineering, data engineering, or DevOps supporting machine learning pipelines
* Proficiency in Python and SQL, with working knowledge of Databricks, MLflow, and AWS S3, EC2, Lambda
* Experience supporting model deployment, monitoring, and packaging workflows
* Ability to document work clearly and collaborate effectively with cross-functional teams
Preferred Qualifications:
* Familiarity with vector stores, embedding pipelines, or RAG-style use cases
* Experience developing or supporting Streamlit or Dash-based apps for data products
* Working knowledge of Git-based workflows, containerization, and CI/CD pipelines
What We Offer:
* A dynamic and collaborative work environment
* Opportunities for professional growth and development
* A competitive salary and benefits package
Apply Now:
If you are a motivated and experienced engineer looking to take your skills to the next level, we encourage you to apply for this exciting opportunity.
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