Machine Learning Engineer
Houston, TX, United States
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About Quinnox
Quinnox is a global IT services organization headquartered in Chicago, USA with presence in Europe, Middle East and India. We are an Agile, Midsize CMMI Level 5, ISO 9001:2008 and ISO 27001:2013 certified organization, working with Fortune 500 clients and have successfully executed projects in over 40+ countries across the globe.
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Experience
8+ years of professional software development experience with expertise in Python.
Lead the design and implementation of software solutions using Python to meet business requirements and technical specifications. (30%)
Hands on the Open CV (30%)
Hands on Experience on AWS Concepts . (40%) Individual breakup of the 40% extrapolated to 100 below :
SQS (10%)
SNS (5%) Lambda (25%)
API Gateway (5%)
Kinesis (10%)
Cloud Formation (20%)
Cloud Front (WAF, CDN, VPC) (10%)
Cloud Watch (5%)
Dynamo (10%)
Architect, deploy, and maintain AWS-based cloud infrastructure, ensuring high availability and scalability.
Collaborate with frontend Business and mobile app developers to ensure seamless integration of back-end services.
Perform code reviews, mentor junior developers, and provide technical guidance to the development team.
Troubleshoot and resolve complex technical issues, ensuring the reliability and performance of applications.
Implement security best practices to protect data and applications in AWS environments.
Stay updated on industry trends and emerging technologies, recommending their adoption when applicable.
Proficiency in database technologies (e.g., PostgreSQL, MySQL, or NoSQL databases).
Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
Strong communication skills to interact with both technical and non-technical stakeholders.
Must have AWS certifications (e.g., AWS Certified Solutions Architect).
Machine Learning Engineer
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