ML Engineer
4 weeks ago
Hi
Hope you are doing great
I have below job position please let me know
Title : Machine Learning Engineer
Location : Austin , TX || Sunnyvale , CA Onsite
Contract
Job Description :
Skills : machine Learning , Artificial Intelligence , NLP , Client Pipelines , Python , ETL , Kubernetes, Airflow or Oozie
We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client. Candidate must have strong NLP exp. ? Automate end-to-end ETL/Client pipelines with structural understanding of data products.. Automate, deploy and maintain Client pipelines into existing cloud resources.? Work with team members to assist with data-related technical issues and support their data product needs. ? Work with team members to evaluate and improve existing Client system and models.
Required Skills
A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
Strong Python/Java programming skills
Experience in implementing data pipelines using python? Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
Experience with query APIs using JSON, Protocol Buffers, or XML? Experience with Unix-based command line interface and Bash scripts
Optional Skills
Experience with computer vision or natural language processing a plus.
Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
Data visualization or web development skills a plus
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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