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Machine Learning Data Engineer

Remote, Remote
Our premier direct end client is looking for 100% Remote-Machine Learning Data Engineer, 18+Months Contract to Hire. Find the below job description and share your updated resume and best time to discuss. You can reach me at gvenkatesh@atrilogy.com or 949-202-5527 between 9 AM to 6 PM MST.
Duration: 18 Months Contract to Hire
Position: Machine Learning Data Engineer
Location: 100% Fully Remote across nationwide

Must work in PST Hours
Rates: $ Market Range
Type: Only on W2 Basis or C2C (only if you have a own Corp)

Visa: Only USC / GCs / EAD-GCs
Position: 2

Top Skills & Must Have:
  • Machine Learning with any Big Data tool Exp is fine
  • Must have strong Machine Learning -
  • Data Pipeline & Data processing, Data side
  • Experience or Knowledge in Kafka, AWS is fine.
  • We are looking for a highly motivated and experienced ML / Data Engineer to focus on commercializing several new products utilizing Machine Learning (ML).
  • The ideal candidate should have experiences in building data pipeline with AWS Cloud technology, and hands on experience with data transformation, feature extraction/feature definition, data validation, model deployment / monitoring / optimization / lifecycle management, etc.
  • New and emerging technologies such as artificial intelligence (AI) and Machine Learning (ML) are helping Experian Consumer Services (ECS) deliver insightful and personalized experiences for our customers, drive greater operational efficiency, and better manage risk.
  • The Data Engineer team at ECS is scaling its Machine Learning (ML) Platform that enables end to end solutions for the business to build and deploy their ML models.
• Build and maintain data pipelines with timely and quality from internal databases to the data lake
• Process and clean large datasets into a format suitable for machine learning
• Recommend improvements and modifications to exist data and ETL pipelines
• Collaborate with Architect, BI, other Data Engineers and Data Scientists to drive efficiencies for their work
• Communicate with technical and business teams about data engineering solutions
• Deploy machine-learning models to production and monitor them over time
• Familiarize with the state-of-the-art ML Ops technologies and apply them to deliver business values
• Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed

• BS or MS (preferred) in Computer Science or a related field
• 3+ years hands-on experience deploying production quality code
• Demonstrably deep understanding of SQL and analytical data warehouses
• Strong data modeling skills
• Hands-on experience implementing ETL (or ELT) best practices at scale
• Hands-on experience with data pipeline tools
• Professional experience using Python for data processing
• Knowledge of and experience with data-related Python packages
• Experience with software engineering best practices like version control and using GitHub
• Experience with AWS cloud environments
• working experience with Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR, Amazon Glue, Redshift and Anthena
• Advanced working SQL knowledge and experience working with relational databases.
• Proven capability of working with both technical and business stakeholders
• Excellent written, oral communication, and analytical skills
• Experience with modern software development practices and tools
• Ability to work in a fast-paced environment and to be an outstanding team player
• Ability to learn new frameworks and environments
• Adept at asking for help when needed.

For immediate consideration please submit your resume in Word format, along with daytime contact information.  LOCAL CANDIDATES ONLY PLEASE unless you are willing to relocate yourself at your own expense.  Client is unable to provide H-1B Visa sponsorship at this time. All submittals will be treated confidentially.  Selected candidate may be asked to complete a comprehensive background, credit and/or drug screening.  Principals only, no third parties please.

Atrilogy Solutions Group, Inc. (est. 2000), in partnership with Peak17 Consulting (est. 2008), provides organizations of all sizes with high-quality, cost effective information technology (IT) staffing services. 

Atrilogy has been recognized by Inc. magazine as one of the nation’s fastest-growing, privately held companies. Headquartered in Irvine, California, Atrilogy also has offices in Denver, Phoenix, & Atlanta with satellite offices in Boston, Jersey City, Las Vegas, and Delhi, India.
Clients turn to Atrilogy for expertise in:
  • IT staffing and placement such as Project Managers, Agile/Scrum Masters, Business Analysts, DBAs, Software Engineers, Mobile Developers (iOS, Android), DevOps, Automation, QA, Systems & Network Engineers, Cyber Security / Information Security Specialists, ERP, CRM, Business Intelligence, Data Warehousing, Big Data and Creative (UI/UX, Web Design)

 Clients turn to Peak17 for expertise in:
  • Operational staffing and placement of Accounting/Finance, Human Resources, and Marketing professionals, as well as Information Technology resources.

Atrilogy Solutions Group and Peak17 Consulting are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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