Job Overview:
We are seeking a seasoned data professional with MLOps expertise to lead our team in delivering high-performance data and machine learning solutions.
* Design, develop, and maintain robust data infrastructure across real-time and batch workloads.
* Build and support ML pipelines for model training, deployment, and monitoring.
* Collaborate cross-functionally with data scientists, engineers, and product teams to deliver scalable data and ML solutions.
* Develop APIs and services for data ingestion, transformation, and querying.
* Ensure the reliability of ML systems through strong observability and operational tools.
* Contribute to architectural decisions and mentor team members.
Tech Requirements
* 5+ years as a Data Engineer or MLOps Engineer.
* Strong experience with Python, Java, or Scala programming languages.
* Familiarity with GCP (preferred), AWS, or Azure cloud platforms.
* Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Familiarity with Apache Kafka, Spark, or similar tools is highly beneficial.
* Experience with ETL, CI/CD, git, and monitoring pipelines.
* Strong communication skills and fluency in English is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.