Job Description
We are seeking a seasoned data infrastructure specialist to spearhead the development and maintenance of robust, scalable data platforms across real-time and batch workloads.
As a key member of our data engineering team, you will design, build, and support ML pipelines for model training, deployment, and monitoring. You will collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.
You will be responsible for developing APIs and services for data ingestion, transformation, and querying, ensuring the reliability of ML systems through strong observability and operational tools.
Achieving this goal requires a collaborative mindset and a passion for building cutting-edge data platforms and MLOps solutions.
* Key Responsibilities:
* Design, develop, and maintain robust, scalable 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 high-performance 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.
Required Skills & Qualifications
To excel in this role, you must have:
* 5+ years of experience as a Data Engineer or MLOps Engineer.
* Strong expertise in Python, Java, or Scala.
* Hands-on experience with GCP (preferred), AWS, or Azure.
* 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.
* Excellent communication skills and fluency in English (written & spoken) is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.
Benefits
As a member of our data-driven team, you will enjoy:
* Top-tier hourly rate paid in USD.
* Long-term contract opportunity.
* Fully remote work - collaborate with international teams from the comfort of your home.
* A high-impact role within a mission-oriented company.