Job Seekers, Please send resumes to resumes@hireitpeople.com Must Have Skills: Experience developing cloud - based applications, preferably AWS, GCC Experience working on OSS COTS platforms Experience managing team size of 23 would be a plus Detailed Job Description: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 6 years of Information Technology experience. Experience in: Redis Kafka, HDFS, Big Data, Hadoop ML (Tensorflow, Keras, Pandas), Python, Pyspark, YARN, PyScript, Spark Data Frames, Jupyter, proficiency with at least 1 visualization tool (Tableau, Grafana, Looker, Qlik), HUE. Experience in Data Lake, Apache Hadoop, Apache Pig, Apache Spark. AWS, stream processing framework, Data Analytics, Data Lake Experience working on one of DB technologies, writing queries etc Oracle, PL/SQL or Postgres Work with large complex data sets to extract analyze, visualize and infer meaningful insights. Experience with research and development of ML-based solutions, including the productization, deployment, and lifecycle management of production-level ML models. pipelines. Design and monitor tools to measure a particular problem or the contribution of a particular technique over time Work with product management and application development teams to identify, prototype, develop and deploy ML models. Knowledge and experience with full SDLC lifecycle Experience with Lean / Agile development methodologies

Minimum years of experience: 5-8 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Knowledge and experience with full SDLC lifecycle Experience with research and development of MLbased solutions, including the productization, deployment, and lifecycle management of productionlevel ML models. pipelines.

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No