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Non Exempt Remote Solar Engineer Jobs in Missouri

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ... non-technical audiences. Design, build, and maintain production-grade ML pipelines, focusing on ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ... Excellent communication skills and the ability to work effectively with technical and non-technical ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ... Excellent communication skills and the ability to work effectively with technical and non-technical ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ... Excellent communication skills and the ability to work effectively with technical and non-technical ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ... Excellent communication skills and the ability to work effectively with technical and non-technical ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ... Excellent communication skills and the ability to work effectively with technical and non-technical ...

$37 - $74/hr

... salt, and non-condensable fluids. * Supporting the integration of component, system, fuel, and ... Fully remote work opportunity. * Full-time contract engagement. * Opportunity to contribute to ...

$79K - $104K/yr

Build one-click workflows and reusable presets that simplify AI content generation for non ... Fully remote work environment with flexibility to work from anywhere. * Generous paid vacation ...

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Ability to communicate effectively with both technical and non-technical stakeholders * Ability to ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

A few years of experience with Dynatrace is required (3) Fully remote is okay, prefer to be within ... Proven ability to extrapolate data out of application monitoring tools and present to non-technical ...

Translate complex and non-deterministic AI outputs into clear, intuitive, and actionable user ... Fully remote work environment with flexibility to work from anywhere. * High level of autonomy and ...

$80K - $110K/yr

Develop reliable, production-grade AI solutions while collaborating with technical and non ... Remote work flexibility. * Professional growth opportunities in a fast-evolving technology ...

This includes either passport based visa exemption or possession of any required travel visas for ... engineers, nurses, and lab technicians-collaborates to enhance existing IT investments and improve ...

Showing results 41-60

Non Exempt Remote Solar Engineer information

What is the difference between Non Exempt Remote Solar Engineer vs Non Exempt Solar Technician?

AspectNon Exempt Remote Solar EngineerNon Exempt Solar Technician
CredentialsEngineering degree or technical certificationTechnical training or certification in solar systems
Work EnvironmentDesign, analysis, remote collaborationOn-site installation, maintenance, troubleshooting
Job ResponsibilitiesSystem design, performance analysis, remote supportEquipment installation, repairs, system testing

The Non Exempt Remote Solar Engineer typically focuses on designing and analyzing solar systems remotely, requiring engineering credentials. In contrast, the Non Exempt Solar Technician handles on-site installation and maintenance tasks. Both roles are essential in the solar industry but differ in work environment and responsibilities.

What are popular job titles related to Non Exempt Remote Solar Engineer jobs in Missouri? For Non Exempt Remote Solar Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Non Exempt Remote Solar Engineer jobs in Missouri look for? The top searched job categories for Non Exempt Remote Solar Engineer jobs in Missouri are:
What cities in Missouri are hiring for Non Exempt Remote Solar Engineer jobs? Cities in Missouri with the most Non Exempt Remote Solar Engineer job openings:

Senior AI Engineer

Koantek

Chesterfield, MO • Remote

$54.75 - $70.50/hr

Contractor

Re-posted 7 days ago


Job description

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key Responsibilities Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions

Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences. Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models. Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting.

Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems. Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities

Ensure all client engagements and training activities are properly documented and reported via designated partner platforms. Required Qualifications 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment. 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery.

Excellent verbal and written communication skills for effective client and internal team interaction. Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices. Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration.

Deep understanding of programming for data-intensive and scalable ML applications. Proven experience in deploying and managing Generative AI and NLP solutions for client applications. Preferred Qualifications Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures. Requirements Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures.