1

Contract Google Machine Learning Engineer Jobs in Kentucky

Design and implement machine learning models , deep learning architectures, and AI-driven solutions ... Collaborate with data scientists, engineers, and product teams to integrate AI models into ...

Design, develop, and deploy AI and Machine Learning (ML) solutions for digital transformation ... Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for large-scale ...

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... machine learning, cognitive services (IBM Watson, AWS AI, Google AI, etc.), and big data ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering ... Google Cloud Platform * 2+ years of experience with prompt engineering and integrating large ...

next page

Showing results 1-20

Contract Google Machine Learning Engineer information

What are the most commonly searched types of Google Machine Learning Engineer jobs in Kentucky? The most popular types of Google Machine Learning Engineer jobs in Kentucky are:
What are popular job titles related to Contract Google Machine Learning Engineer jobs in Kentucky? For Contract Google Machine Learning Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Contract Google Machine Learning Engineer jobs in Kentucky look for? The top searched job categories for Contract Google Machine Learning Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Contract Google Machine Learning Engineer jobs? Cities in Kentucky with the most Contract Google Machine Learning Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lexington, KY • Remote

Other

Posted 20 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.