This job offer is no longer available
About
MLOP is mandatory
Machine Learning Engineer
Location: Alpharetta-GA-USA Hybrid (three days a week)
Duration 12 months
MUST HAVE SKILLS (Most Important): • Candidates must possess 7+ years of overall software development experience. • Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. • Must have 7+ years of recent experience as a developer using Java/C++/Python • Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming • Must have 7+ years' experience operationalizing AI/ML pipelines in a real-time environment • Must have 7+ years' experience building input streaming data pipelines for AI/ML use cases • Must have experience implementing NLP models in real-time environment • Must have 7+ years of recent experience working with streaming data stores like Cassandra or Redis • Must have experience of handling Large volume of data in terabytes as well low volume but high frequency data • Must have 7+ years of recent experience working with messaging queue technologies like Pub/Sub, Kafka and Rabbit MQ • Must have 7+ years' experience on Unix based OS • Exposure to NoSQL-based, SQL-like technologies (e. g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery, Cassandra). • Exposure to Google Cloud Platform (GCP) and integrating it with real-time data streaming applications • Some experience with container technologies like Kubernetes and Docker
DESIRED SKILLS: • Ability to work independently, and multi-task under short deadlines, based upon general direction • Telecom domain knowledge is preferred • Able to mentor, guide and lead a team of streaming ML engineers • Demonstrated effective verbal and written communication skills. • Good Knowledge in Hadoop platform including Big Data tools • Some experience with data warehousing and data lakes
JOB DUTIES: • Primary responsibility is to design, develop, and implement MLOps for our NLP real-time models • Another key responsibility will be to help implement data streaming pipelines for new data sources to feed to our NLP real-time models • Help develop self-service applications in the real-time environment to help with various use cases • Doing proof of concepts to expand current platform capabilities • Closely collaborate with cross-functional teams • The successful candidate will have an understanding of coding and a strong sense of architecture, deployment and operational skill. • Expect to be on-site for most weekdays
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.