ML Architect

Job Title : Senior Machine Learning Architect (Data Engineering & AI / ML)

Job Type : Full-Time (W2)

Job Description :

We are seeking a Senior Machine Learning Architect to lead the design, implementation, and optimization of data engineering and AI / ML workflows for scalable analytics solutions. This role involves developing and maintaining robust data pipelines , building predictive models , and implementing cloud-based data solutions to support data-driven decision-making across the organization.

Key Responsibilities :

Design, develop, and maintain scalable ETL / ELT workflows to support analytics initiatives.

Build impactful data visualizations and Tableau dashboards to empower data-driven decision-making.

Implement Python-based workflows for data processing, automation, and machine learning pipeline development.

Apply AI / ML techniques for predictive analytics , model development, and actionable insights generation.

Leverage Google Cloud Platform (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Lambda, Glue) for cloud-based data engineering solutions.

Ensure system observability by implementing logging , monitoring , and alerting for data systems and pipelines.

Perform data science tasks such as data exploration , feature engineering , and model evaluation .

Translate business requirements into reliable data engineering solutions in collaboration with cross-functional teams.

Required Qualifications :

Extensive experience in machine learning , data engineering , and cloud-based data solutions .

Strong proficiency in Python for automation, data processing, and machine learning workflows.

Proven experience with ETL / ELT pipelines , cloud platforms (GCP, AWS), and building scalable data solutions.

Expertise in Tableau or other data visualization tools to create impactful dashboards.

Strong experience in AI / ML model development for predictive analytics and business insights.

Experience with BigQuery , Dataflow , S3 , Lambda , and Glue in cloud environments.

Experience in implementing observability practices for data systems, including logging, monitoring, and alerting.

Preferred Qualifications :

Master's degree or higher in Computer Science, Data Science, or a related field.

Experience working in fast-paced, data-driven environments.

Strong problem-solving, communication, and collaboration skills.

Experience in business intelligence and translating data into actionable insights.