Lead Engineer with ML
Lead Engineer with ML
Location Miami FL
Remote- NO
Key Responsibilities
Lead, mentor, and grow a team of high-performing data engineers. You will be responsible for maintaining a high standard of engineering excellence.
Act as the primary technical point of contact for external SI partners. You will oversee their deliverables, ensure they adhere to our architectural standards, and manage the transition of knowledge from consultants to the internal team.
Design and oversee scalable data ecosystems on AWS or Azure, ensuring seamless integration between legacy systems and modern cloud warehouses.
Collaborate with UI/UX and BI teams to design "last-mile" data delivery. You ensure that the underlying data structures are optimized for rapid, clear visual representation layers (Power BI, Tableau, etc.).
(Plus) Architect the flow between SAP Datasphere and cloud-native environments to provide a unified "Single Source of Truth."
Design and oversee the development of feature stores and automated data pipelines specifically tailored for Machine Learning workflows.
Required Qualifications
8+ years in Data Engineering, with 3+ years in a leadership role.
2+ years of hands-on experience as a Data Scientist or ML Engineer. You must understand model lifecycles, cross-validation, and the nuances of training/test data splits.
Expert-level proficiency in AWS (Glue, SageMaker, Redshift) or Azure (Data Factory, Azure ML, Synapse/Databricks).
Proven ability to manage System Implementation (SI) partners, holding them accountable for high-quality architectural outcomes.
Experience building data models optimized for BI tools;
Mastery of Python (for both Spark and ML libraries like Scikit-Learn/TensorFlow) and expert SQL.
Experience in Oil and Gas industry
The pay range for this role is *** - **** per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
***
.
Location Miami FL
Remote- NO
Key Responsibilities
Lead, mentor, and grow a team of high-performing data engineers. You will be responsible for maintaining a high standard of engineering excellence.
Act as the primary technical point of contact for external SI partners. You will oversee their deliverables, ensure they adhere to our architectural standards, and manage the transition of knowledge from consultants to the internal team.
Design and oversee scalable data ecosystems on AWS or Azure, ensuring seamless integration between legacy systems and modern cloud warehouses.
Collaborate with UI/UX and BI teams to design "last-mile" data delivery. You ensure that the underlying data structures are optimized for rapid, clear visual representation layers (Power BI, Tableau, etc.).
(Plus) Architect the flow between SAP Datasphere and cloud-native environments to provide a unified "Single Source of Truth."
Design and oversee the development of feature stores and automated data pipelines specifically tailored for Machine Learning workflows.
Required Qualifications
8+ years in Data Engineering, with 3+ years in a leadership role.
2+ years of hands-on experience as a Data Scientist or ML Engineer. You must understand model lifecycles, cross-validation, and the nuances of training/test data splits.
Expert-level proficiency in AWS (Glue, SageMaker, Redshift) or Azure (Data Factory, Azure ML, Synapse/Databricks).
Proven ability to manage System Implementation (SI) partners, holding them accountable for high-quality architectural outcomes.
Experience building data models optimized for BI tools;
Mastery of Python (for both Spark and ML libraries like Scikit-Learn/TensorFlow) and expert SQL.
Experience in Oil and Gas industry
The pay range for this role is *** - **** per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
***
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