Machine Learning Architect

GeorgiaTEK Systems Inc.; Barueri; Hybrid; BRL 200,000 - 320,000; Full time

Job summary

GeorgiaTEK Systems Inc. is seeking a senior ML Engineer/DS leader to architect and drive advanced machine learning initiatives in a hybrid setup at the Alphaville, Barueri office.

You will guide cross-functional teams through end-to-end ML projects and help shape the technical roadmap. The role emphasizes strong collaboration with data scientists, software engineers, and product stakeholders, along with delivering scalable models and robust system design.

Qualifications

• Bachelors degree in a STEM field or equivalent professional experience.
• 5 years of related work experience including proven leadership of ML/DS/DevOps teams.
• Experience with end-to-end ML model development from ideation through deployment.

Responsibilities

• Design complex systems to train and run machine learning models using industry best practices.
• Define projects and scope for engineering teams and guide them through completion.
• Develop identify and report intellectual property through patent applications invention disclosures white papers and presentations.
• Demonstrate effective communication with executives, clients, and peers.
• Contribute to all phases of product development from analysis to deployment.
• Support initiatives aligning with long-term technical vision.
• Collaborate with product teams, architects, and others on AI/ML/data engineering opportunities.
• Participate in peer design and code reviews.
• Mentor peers and potentially serve as a team lead.
• Design and implement IT solutions across applications, system architecture, and infrastructure.

Skills

Big Data Analytics

Collaboration

Cloud Computing

Application Development

Artificial Intelligence

Technical Leadership

Mathematics

Education

Bachelor's in STEM

Master's degree preferred

Job description

Work Model: Hybrid — candidate must be able to work from the Equifax office in Alphaville, Barueri.

Key Responsibilities

• Design complex systems to train and run machine learning models using industry best practices
• Define projects and scope for engineering teams and guide them through completion
• Develop identify and report intellectual property through patent applications invention disclosures white papers and presentations
• Demonstrate effective respectful and honest communication when collaborating with colleagues including executives clients and peers from other companies and institutions
• Contribute to all phases of product development and delivery from analysis and design through successful deployment
• Support company initiatives and prioritize projects that align with its longterm technical vision
• Collaborate with product teams architects and others to understand the opportunities and limitations of AI machine learning and data engineering
• Participate in peer design and code reviews
• Show initiative in identifying and driving improvements and innovations that create value and advance the IT organization
• Raise peer performance through training mentoring and promotion of best practices may serve as a team lead
• Responsible for the design development and implementation of short and longterm solutions for information technology needs through new and existing applications system architecture network systems and application infrastructure The role is often involved in modifying or adapting existing designs reviewing technology requirements and business processes and coding testing debugging and implementing software solutions These roles are typically projectbased and deliver technology changes within the business

Key Skills

• Big Data Analytics Deep understanding of the domain or industry in which machine learning solutions are applied enabling the business to develop impactful big data solutions
• Collaboration Engages internal stakeholders including Data Scientists business leaders Product Managers and executives to understand requirements and present technical solutions Collaborates with software engineering data engineering and business intelligence teams to integrate machine learning solutions into larger systems
• Cloud Computing Proficiency in data architecture design data strategy development data orchestration data integration ETL development data modeling parallel processing and performance optimization
• Application Development Programming Reviews code for quality performance and efficiency optimizes critical parts of the codebase and establishes Software Development Lifecycle best practices for the team
• Artificial Intelligence Designs scalable and maintainable machine learning architectures and frameworks for the organizations products and services Defines the technical vision and roadmap for the MLE team in alignment with organizational goals and industry trends
• Technical Leadership Leads and manages a team of Machine Learning Engineers Data Scientists or related roles sets clear goals provides guidance and fosters a collaborative and productive team environment
• Mathematics Reads and understands current machine learning research and applies innovative techniques to realworld problems

Experience

• Bachelors degree in a STEM field or equivalent professional experience Masters degree preferred AIML coursework preferred
• 5 years of related work experience including proven experience leading a team of MLE DS SDE DevOps or related professionals
• Experience with endtoend ML model development from ideation through deployment ensuring best practices scalability and reliability