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Responsibilities:
Strong hands-on experience in implementing major ML libraries such as (PyTorch, TensorFlow, Pandas, NumPy, Jaccard, cosine, NLP or other pattern matching AI, ML libraries/techniques etc.) but certainly not limited to.
Strong hands-on experience in implementing Python, Kafka, Spark, SQL, Hive, Impala, Hadoop, Splunk, Autosys and Cloudera Big Data (PySprak ) eco system etc.
Data Analysis and Data Wrangling skills when dealing with Huge Volume (1B+ Transaction.)
Performance analysis, troubleshooting and resolution including Cloudera Big Data (PySprak ) eco system.
Experience with Linux-based infrastructures and with CI/CD pipelines
Experience in UI design, JavaScript and Angular charting, Graph.
Ability to work on a fast-pace environment; Flexible and able to deliver quality results in the required timeframe
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Time Type:
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