Machine Learning /MLOps Engineer
San Antonio TX (Onsite)
Contract
Job responsibilities:
- Implementing Data Ingestion pipelines for Batch and streaming data at petabyte scale
- Experience in building and deploying machine learning / AI models in the cloud
- Run machine learning tests / experiments and perform statistical analysis and fine-tuning using test results
- To research, experiment with, and implement suitable ML algorithms and tools.
- Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
- Optimize data delivery and re-design infrastructure for greater scalability
- Identify, design, and implement internal process improvements
Preferred Skills & Qualifications:
- Computer Science / Computer Engineering Degree with Minimum of 8 years data Engineering experience including 3 years of MLOps experience.
- Experience in requirement gathering, analysis and solution design.
- Proficient in Python and strong in SQL.
- Experience in data and ML pipeline implementation using Python/R/SQL/Docker/Kubernetes/Domino Data Lab .
- Experience in Snowflake, AWS, and Kafka.
- Experience in Scheduling tools like Control-M and Airflow.
- Experience in Agile development methodologies.
- Deep knowledge of math, probability, statistics, and algorithms
- Excellent algorithm and data structure skills
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
- Excellent interpersonal and collaboration skills
Additional skills:
- Experience in Gen-AI and AWS sagemaker is a plus.
- Certified in Snowflake and AWS is a plus.
- Experience in Financial Domain is a plus.
From:
Dhanraj,
Dimiour
dhanraj.rajasekar@dimiour.io
Reply to: dhanraj.rajasekar@dimiour.io