Machine learning

• W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Job Overview

Job ID: J36993

Specialized Area: Machine Learning

Job Title: Machine Learning Engineer

Location: To Be Discussed Later

Duration: 6 Months

Domain Exposure: Banking & Finance, Telecom, IT/Software

Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)

This specific role is responsible for designing and implementing algorithm solutions, including fusing disparate data that originates from customers, applying cutting edge analytics models, and returning results that deliver value to customers. The Machine Learning Engineer will work closely with data scientists, BigData Teams, Java Teams, project managers and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions.

1. Strong computer science fundamentals, debugging skills and knowledge of algorithms
2. Be able to develop significant code bases and integrate new libraries and frameworks into work
3. Excellent foundation and demonstrable experience in recommendations and information retrieval algorithms
4. Experience and interest in machine learning and AI, and in working with real world data sets
5. Very strong in Data Science Models
6. Develop scalable data processing pipelines for analytical and predictive platform services
7. Collaborate with other AI scientists and machine learning engineers to find effective solutions to technical challenges
8. Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniques
9. Production-quality developer in Python, C/C++, Java, or other general-purpose language
10. Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR)
11. Experience with big data frameworks such as Cassandra, Spark and Hadoop
12. Familiar with ML lifecycle tools such as MLflow, FBLearner Flow, TFX and Michelangelo
13. Demonstrated awareness of how to succeed in ambiguous circumstances
14. Experience with analytics development for industrial applications in a commercial setting
15. Experience with virtualization and containerization, including managing and deploying containers using Kubernetes/Docker
16. Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.
17. Determination - even when experiments fail, the ability to try again is key

Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract