1787 IT & Software Developer jobs in the US
Requirements
Must:
- 14+ years of comprehensive software development experience, advancing into technical leadership roles
- 8+ years of practical experience in AI/ML, covering model creation, deployment, and operational management
- Proven record of overseeing enterprise-scale AI/ML or Generative AI projects from start to finish
- Strong foundation in financial services, banking, or regulated industry preferred
- Previous experience within large corporations like NYL is advantageous
- Bachelors or masters degree in computer science, Engineering, Data Science, Statistics, or a related discipline
- Proficiency in programming languages such as Python, Java, and SQL
- Experience with backend frameworks like FastAPI and Flask, combined with microservices architecture
Responsibilities
- Provide AI/ML and engineering guidance throughout the complete solution lifecycle, from design to deployment and optimization
- Make architectural decisions for machine learning platforms, Generative AI technologies, and data pipelines that support modernization efforts
- Serve as the primary subject matter expert (SME) for AI/ML, establishing design standards and best practices
- Mentor ML engineers and developers, ensuring high standards of code quality, scalability, and reliability
- Spearhead the modernization of legacy analytics systems by implementing cloud-native ML architectures and microservices
- Design and implement batch and real-time ML systems, including forecasting engines and risk models
- Facilitate the adoption of Generative AI in various applications such as document intelligence and workflow automation
- Build and manage scalable API services and models using advanced frameworks
- Collaborate with cross-functional teams to convert intricate business challenges into effective AI/ML solutions
- Lead technical discussions, design reviews, and coordination of strategic roadmaps with stakeholders
Description
We are Trianz, a pioneering technology platforms and services company focused on driving digital transformations for Fortune 100 and emerging companies across the globe. Our innovative solutions in data analytics, digital experiences, cloud infrastructure, and security are reshaping how organizations operate. Leading industry talent, including veterans from renowned firms, enhances our mission to tackle the challenges of digital transformation. We offer competitive compensation, a dynamic work culture celebrating creativity, and opportunities for professional development, all set in a hybrid work environment at our Clinton, NJ location.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1787 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Sched LLC, Jump, Meitou Inc., D3 Security Management Systems, LawDepot, GE Aerospace, Blue Rose Consulting Group, Inc. among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is BMO Financial as they are hiring for 29 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is BMO Financial as they are hiring for 29 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.