MLOps- Sr Software Engineer
4 months ago
About the Role
Senior Data Engineer with expertise in designing and implementing scalable data solutions, including robust data pipelines. Strong proficiency in ETL processes, MLOps practices for efficient model deployment, and utilizing technologies such as Databricks, DataLake, Vector DB, and Feature Store are essential.
What You'll Do
Design, optimize, and maintain scalable data pipelines using PySpark (Apache Spark), Python, Databricks, and Delta Lake.
Implement MLOps practices for efficient deployment and monitoring of machine learning models.
Should be able to Develop strategies and tools for detecting and mitigating data drift.
Utilize Vector DB for effective data querying and management.
Establish and manage a Feature Store to centralize and share feature data for machine learning models.
Ensure data integrity and quality throughout all stages of the pipeline.
Collaborate with teams and stakeholders to deliver impactful data solutions.
Demonstrate proficiency in Python programming, PySpark (Apache Spark), data architecture, ETL processes, and cloud platforms (AWS, Azure, GCP).
Soft Skills:
Collaborate effectively with cross-functional teams and stakeholders to deliver impactful data solutions.
Demonstrate strong communication skills to articulate complex technical concepts to non-technical stakeholders.
Exhibit problem-solving skills to address data-related challenges and optimize processes.
Who You Are
5-8 yrs of experience in designing and implementing effective data solutions.
5+yrs experience into Databricks, Delta Lake, PySpark (Apache Spark), MLOps, Data Drift Detection, Vector DB and Feature Store .
Efficient in Model deployment
Hands-on experience in Databricks, Pyspark, Delta Lake, MLOps.
Graduation in any degree
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