Meritore Technologies
[Charlotte, NC, 28246] | 2025-07-01 09:48:03
Make sure to apply with all the requested information, as laid out in the job overview below. Software Engineer Lead - Cloud AI and large financial services experience. Lead the design and development of backend systems using Python and Java, with a focus on integrating AI/ML capabilities. Architect and implement machine learning pipelines, model training workflows, and inference services. Collaborate with data scientists to productionize models and ensure performance, scalability, and reliability. Mentor and guide engineers in AI best practices, software design, and clean coding principles. Drive adoption of MLOps practices including model versioning, monitoring, and continuous deployment. Partner with cross-functional teams to translate business needs into AI-driven technical solutions. Stay current with advancements in AI/ML and evaluate their applicability to ongoing projects. Required Skills: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of software development experience, including 3+ years in a leadership role. Proficiency in Python and Java, with experience in building scalable backend systems. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience deploying ML models in production environments (e.g., REST APIs, batch jobs). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of data structures, algorithms, and software architecture.
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Make sure to apply with all the requested information, as laid out in the job overview below. Software Engineer Lead - Cloud AI and large financial services experience. Lead the design and development of backend systems using Python and Java, with a focus on integrating AI/ML capabilities. Architect and implement machine learning pipelines, model training workflows, and inference services. Collaborate with data scientists to productionize models and ensure performance, scalability, and reliability. Mentor and guide engineers in AI best practices, software design, and clean coding principles. Drive adoption of MLOps practices including model versioning, monitoring, and continuous deployment. Partner with cross-functional teams to translate business needs into AI-driven technical solutions. Stay current with advancements in AI/ML and evaluate their applicability to ongoing projects. Required Skills: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of software development experience, including 3+ years in a leadership role. Proficiency in Python and Java, with experience in building scalable backend systems. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience deploying ML models in production environments (e.g., REST APIs, batch jobs). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of data structures, algorithms, and software architecture.
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