... LLMOps, and apply this knowledge to drive innovation and improvement in technology stack. • Performs other duties as assigned and modified at manager's discretion. Qualifications : Required : • ...
... LLMOps, and apply this knowledge to drive innovation and improvement in technology stack. • Performs other duties as assigned and modified at manager's discretion. Qualifications : Required : • ...
High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Minimum Qualifications: Communication Skills: * Writing ...
High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Minimum Qualifications: Communication Skills: * Writing ...
High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Minimum Qualifications: Communication Skills: * Writing ...
High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Minimum Qualifications: Communication Skills: * Writing ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
... LLMOps, applying new techniques to strengthen the firm's technology stack. • Perform other duties as assigned at the manager's discretion. Qualifications : Required : • Bachelor's degree in ...
... LLMOps, applying new techniques to strengthen the firm's technology stack. • Perform other duties as assigned at the manager's discretion. Qualifications : Required : • Bachelor's degree in ...
Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and governance. * Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.
Quick apply
Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and governance. * Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.
AI Program Manager
FL · On-site +1
$96K - $192K/yr
ML/LLMOps concepts, Cloud platforms (AWS, Azure, or GCP) * Experience with Agile, Scrum, SAFe, or similar methodologies. Pay Range The annual salary for this position is between $96,000.00 - $192,000 ...
AI Program Manager
FL · On-site +1
$96K - $192K/yr
ML/LLMOps concepts, Cloud platforms (AWS, Azure, or GCP) * Experience with Agile, Scrum, SAFe, or similar methodologies. Pay Range The annual salary for this position is between $96,000.00 - $192,000 ...
Stay current with advances in GenAI, ML, MLOps, and LLMOps, applying new techniques to strengthen the firm's technology stack. * Perform other duties as assigned at the manager's discretion. What You ...
Quick apply
Stay current with advances in GenAI, ML, MLOps, and LLMOps, applying new techniques to strengthen the firm's technology stack. * Perform other duties as assigned at the manager's discretion. What You ...
Llmops information
What jobs can I do with LLM?
With expertise in large language models (LLMs), you can pursue roles such as NLP engineer, machine learning engineer, data scientist, or AI researcher. These jobs typically require skills in programming, deep learning frameworks, and understanding of natural language processing concepts.
What engineer makes $500,000 a year?
Senior machine learning engineers, including those working in Llmops or related AI fields, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working at top tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in large language models, cloud platforms, and deployment tools.
What jobs make $3,000 a day?
In the context of Llmops, high-paying roles such as AI project managers, machine learning engineers, or data science consultants can earn around $3,000 daily, especially with specialized skills, certifications, and experience in deploying large language models. These roles often require advanced technical knowledge, experience with cloud platforms, and the ability to manage complex AI operations in a fast-paced environment.
What is the difference between Llmops vs Data Scientist?
| Aspect | Llmops | Data Scientist |
|---|---|---|
| Required credentials | Knowledge of machine learning, AI frameworks, cloud platforms | Statistics, programming, data analysis skills |
| Work environment | AI/ML teams, cloud environments, deployment pipelines | Data analysis, modeling, reporting in various industries |
| Employer usage | Tech companies, AI startups, research labs | Finance, healthcare, tech, retail |
While both roles involve working with data and machine learning, Llmops focuses on deploying and maintaining large language models in production environments, requiring expertise in AI infrastructure. Data Scientists primarily analyze data, build models, and generate insights. Llmops professionals ensure models operate efficiently at scale, whereas Data Scientists develop the models and interpret results.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are rare and generally found in top tech companies or specialized AI firms.
What are popular job titles related to Llmops jobs in Boca Raton, FL? For Llmops jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Llmops jobs in Boca Raton, FL look for? The top searched job categories for Llmops jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Llmops jobs? Cities near Boca Raton, FL with the most Llmops job openings:
Manager of Automation and AI
Plantation, FL • On-site
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Job Summary:
Robertson, Anschutz, Schneid, Crane & Partners, PLLC is seeking a Manager of Automation and AI to lead a team of engineers and analysts in developing and implementing advanced automation and AI solutions. This role will work closely with the executive team to design and scale automation solutions that drive measurable business impact.
Responsibilities:
• Lead a team of software engineers and analysts to develop and implement scalable automations and AI solutions across the organization.
• Oversee hiring and upskilling of talents in the team.
• Design, develop, and maintain scalable workflows and automation solutions using Python, other programming languages, and other platforms (Azure technologies, Power Automate, Power Apps, or similar technologies).
• Build custom connectors, applications, and integrations using any of the following technologies - SQL, Python, JavaScript, Powershell, React, and C#.
• Hands-on experience or strong understanding of JST CollectMax or similar advanced collection/debt collection platform is required.
• Collaborate with business stakeholders to gather requirements and translate them into technical automation and AI solutions.
• Lead end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Monitor and optimize automation or AI model performance, handle exceptions, monitor logs through dashboards, and ensures high availability of automation.
• Lead the development of automation best practices, governance, procedures, and reusable components.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques.
• Performs the analysis of both structured and unstructured data to address various complex business challenges.
• Integrates AI/ML models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Manage the team to maintain a library of dashboards, monthly reporting to clients, internal reporting to firm managers, and generate production workloads.
• Manage analytics such as forecast analysis, financial analysis, performance analysis, and track portfolio trends
• Lead data engineering to build & maintain data pipelines and construct queries as applicable.
• Stays up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in technology stack.
• Performs other duties as assigned and modified at manager’s discretion.
Qualifications:
Required:
• Lead a team of software engineers and analysts to develop and implement scalable automations and AI solutions across the organization.
• Oversee hiring and upskilling of talents in the team.
• Design, develop, and maintain scalable workflows and automation solutions using Python, other programming languages, and other platforms (Azure technologies, Power Automate, Power Apps, or similar technologies).
• Build custom connectors, applications, and integrations using any of the following technologies - SQL, Python, JavaScript, Powershell, React, and C#.
• Hands-on experience or strong understanding of JST CollectMax or similar advanced collection/debt collection platform is required.
• Collaborate with business stakeholders to gather requirements and translate them into technical automation and AI solutions.
• Lead end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Monitor and optimize automation or AI model performance, handle exceptions, monitor logs through dashboards, and ensures high availability of automation.
• Lead the development of automation best practices, governance, procedures, and reusable components.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques.
• Performs the analysis of both structured and unstructured data to address various complex business challenges.
• Integrates AI/ML models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Manage the team to maintain a library of dashboards, monthly reporting to clients, internal reporting to firm managers, and generate production workloads.
• Manage analytics such as forecast analysis, financial analysis, performance analysis, and track portfolio trends.
• Lead data engineering to build & maintain data pipelines and construct queries as applicable.
• Stays up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in technology stack.
• Astute business acumen and acuity.
• Hands-on experience and strong expertise in advanced automation and AI solution implementation.
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non-technical audiences.
• Superb interpersonal, organization, time-management, and coordination skills.
• Task-oriented with an ability to set goals and complete deliverables.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Demonstrated aptitude in Python with hands-on experience implementing automations and production machine learning systems.
• Skilled with relational databases, programming languages, web app frameworks, libraries, and tools such as SQL, Python, C#, React, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLTK, Spacy, LangChain, Prefect, Document Intelligence, and shell scripting.
• Knowledge and understanding of AI and ML fundamentals including classical ML, deep learning techniques, and LLMs.
• Spoken and written fluency in English.
• Bachelor’s degree in computer science, information systems, data science, or related field.
• Master's degree in quantitative fields such as: Engineering, Computer Science, AI/ML, Data Science are required OR experience may be considered in lieu of the required education on a year-for-year basis.
• 5+ years of hands-on experience in software development for automation implementation using various tech stacks.
• Strong programming skills in SQL, Python, JavaScript, React, and C#.
• Excellent problem-solving, communication, and stakeholder management skills.
• Strong understanding of advanced mathematics, statistics, programming, data handling, ML algorithms and predictive analytics.
Preferred:
• Proven expertise in Microsoft Power Automate, Gen AI, or similar technologies would be a plus.
• Experience with JST CollectMax or similar advanced collection/debt collection platform is preferred.
• Familiarity with Agile methodologies and DevOps practices for automation delivery.
• 2+ years of experience would be a plus in AI/ML engineering, Automation, Data science, software development, or a related field, with a focus on GenAI and ML.
• A minimum of 2 years’ experience using tools in at least one cloud computing platform such as Microsoft Azure (preferred) or Google Cloud Platform.
• Experience with DevOps, containerization (e.g., Docker), and agile development methodologies.
Company:
RAS and its affiliated law firms provide full-service creditors’ rights and real estate legal services in Florida, Georgia, South Carolina, Maryland, New Jersey, New York, Pennsylvania, Texas, Virginia and Puerto Rico in both State and Federal Courts. Founded in 2010, the company is headquartered in Boca Raton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Robertson, Anschutz, Schneid, Crane & Partners, PLLC is seeking a Manager of Automation and AI to lead a team of engineers and analysts in developing and implementing advanced automation and AI solutions. This role will work closely with the executive team to design and scale automation solutions that drive measurable business impact.
Responsibilities:
• Lead a team of software engineers and analysts to develop and implement scalable automations and AI solutions across the organization.
• Oversee hiring and upskilling of talents in the team.
• Design, develop, and maintain scalable workflows and automation solutions using Python, other programming languages, and other platforms (Azure technologies, Power Automate, Power Apps, or similar technologies).
• Build custom connectors, applications, and integrations using any of the following technologies - SQL, Python, JavaScript, Powershell, React, and C#.
• Hands-on experience or strong understanding of JST CollectMax or similar advanced collection/debt collection platform is required.
• Collaborate with business stakeholders to gather requirements and translate them into technical automation and AI solutions.
• Lead end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Monitor and optimize automation or AI model performance, handle exceptions, monitor logs through dashboards, and ensures high availability of automation.
• Lead the development of automation best practices, governance, procedures, and reusable components.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques.
• Performs the analysis of both structured and unstructured data to address various complex business challenges.
• Integrates AI/ML models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Manage the team to maintain a library of dashboards, monthly reporting to clients, internal reporting to firm managers, and generate production workloads.
• Manage analytics such as forecast analysis, financial analysis, performance analysis, and track portfolio trends
• Lead data engineering to build & maintain data pipelines and construct queries as applicable.
• Stays up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in technology stack.
• Performs other duties as assigned and modified at manager’s discretion.
Qualifications:
Required:
• Lead a team of software engineers and analysts to develop and implement scalable automations and AI solutions across the organization.
• Oversee hiring and upskilling of talents in the team.
• Design, develop, and maintain scalable workflows and automation solutions using Python, other programming languages, and other platforms (Azure technologies, Power Automate, Power Apps, or similar technologies).
• Build custom connectors, applications, and integrations using any of the following technologies - SQL, Python, JavaScript, Powershell, React, and C#.
• Hands-on experience or strong understanding of JST CollectMax or similar advanced collection/debt collection platform is required.
• Collaborate with business stakeholders to gather requirements and translate them into technical automation and AI solutions.
• Lead end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Monitor and optimize automation or AI model performance, handle exceptions, monitor logs through dashboards, and ensures high availability of automation.
• Lead the development of automation best practices, governance, procedures, and reusable components.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques.
• Performs the analysis of both structured and unstructured data to address various complex business challenges.
• Integrates AI/ML models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Manage the team to maintain a library of dashboards, monthly reporting to clients, internal reporting to firm managers, and generate production workloads.
• Manage analytics such as forecast analysis, financial analysis, performance analysis, and track portfolio trends.
• Lead data engineering to build & maintain data pipelines and construct queries as applicable.
• Stays up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in technology stack.
• Astute business acumen and acuity.
• Hands-on experience and strong expertise in advanced automation and AI solution implementation.
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non-technical audiences.
• Superb interpersonal, organization, time-management, and coordination skills.
• Task-oriented with an ability to set goals and complete deliverables.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Demonstrated aptitude in Python with hands-on experience implementing automations and production machine learning systems.
• Skilled with relational databases, programming languages, web app frameworks, libraries, and tools such as SQL, Python, C#, React, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLTK, Spacy, LangChain, Prefect, Document Intelligence, and shell scripting.
• Knowledge and understanding of AI and ML fundamentals including classical ML, deep learning techniques, and LLMs.
• Spoken and written fluency in English.
• Bachelor’s degree in computer science, information systems, data science, or related field.
• Master's degree in quantitative fields such as: Engineering, Computer Science, AI/ML, Data Science are required OR experience may be considered in lieu of the required education on a year-for-year basis.
• 5+ years of hands-on experience in software development for automation implementation using various tech stacks.
• Strong programming skills in SQL, Python, JavaScript, React, and C#.
• Excellent problem-solving, communication, and stakeholder management skills.
• Strong understanding of advanced mathematics, statistics, programming, data handling, ML algorithms and predictive analytics.
Preferred:
• Proven expertise in Microsoft Power Automate, Gen AI, or similar technologies would be a plus.
• Experience with JST CollectMax or similar advanced collection/debt collection platform is preferred.
• Familiarity with Agile methodologies and DevOps practices for automation delivery.
• 2+ years of experience would be a plus in AI/ML engineering, Automation, Data science, software development, or a related field, with a focus on GenAI and ML.
• A minimum of 2 years’ experience using tools in at least one cloud computing platform such as Microsoft Azure (preferred) or Google Cloud Platform.
• Experience with DevOps, containerization (e.g., Docker), and agile development methodologies.
Company:
RAS and its affiliated law firms provide full-service creditors’ rights and real estate legal services in Florida, Georgia, South Carolina, Maryland, New Jersey, New York, Pennsylvania, Texas, Virginia and Puerto Rico in both State and Federal Courts. Founded in 2010, the company is headquartered in Boca Raton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Robertson, Anschutz, Schneid, Crane & Partners
Sourced by ZipRecruiter
Industry
Law firms
Company size
1,001 - 5,000 Employees
Headquarters location
Boca Raton, FL, US
Year founded
2010