Machine Learning and AI Integration Professional Position Available In Broward, Florida

Tallo's Job Summary: Monarch Air Group in Fort Lauderdale, FL is seeking a Machine Learning and AI Integration Professional to enhance operations through automation and AI tools. Responsibilities include designing AI models, coding automation pipelines, optimizing Salesforce, and integrating systems. The ideal candidate holds a Bachelor's degree in a related field, proficient in Python, and has experience in AI and machine learning.

Company:
Monarch Air Group
Salary:
JobFull-timeOnsite

Job Description

Job description Monarch Air Group is a leading provider of on-demand air charter and private jet solutions based in Fort Lauderdale, FL. We cater to private families, business owners, Fortune 500 corporations, government agencies and discerning individuals worldwide for their business and leisure air charter needs. We are proud to engage in humanitarian efforts such as aerial resupply, evacuation, rescue, emergency relief, and environmental sustainability. About the

Role :

We’re looking for a Machine Learning and AI Integration Professional to help us improve operations through automation, data-driven decision-making, and AI-powered tools. This role is ideal for someone who thrives at the intersection of AI, automation, and systems integration, with a focus on developing intelligent solutions that improve business operations and decision-making. You’ll collaborate with cross-functional teams to identify inefficiencies, design automated solutions, and develop tools using platforms like Python, AWS, Salesforce, and third-party APIs. Curiosity, adaptability, and a willingness to experiment are key to success in this role. You should be comfortable working independently, learning new tools quickly, and taking initiative to tackle challenges without waiting for step-by-step instructions. If you thrive in an environment that values both technical precision and strategic thinking, this role is for you.

Key Responsibilities :
Machine Learning & AI:

Design, develop, and optimize AI models using proprietary data to solve business problems. Focus areas include natural language processing (NLP), predictive analytics, and intelligent decision-making. Fine-tune and integrate models within internal systems.

Coding & Automation:

Use Python and cloud platforms (e.g., AWS) to build scalable automation pipelines for data workflows, process optimization, and system integration. Explore AI-driven tools to enhance operational efficiency.

Salesforce Maintenance & Optimization:

Ensure data integrity in Salesforce through automation of data entry, deduplication, and validation. Enhance Salesforce functionality by configuring flows, validation rules, permission sets, and custom logic (Apex).

API & System Integration:

Build and maintain APIs and integrations between internal systems (Salesforce, AWS, third-party platforms). Automate workflows and ensure seamless data exchange across platforms.

Workflow Automation:

Design and implement scalable automation using Salesforce Flows, Apex, and third-party integration tools to minimize manual tasks and boost team productivity.

Cross-functional Collaboration:

Work closely with internal stakeholders to understand operational pain points and deliver scalable, automated solutions aligned with business goals.

Qualifications :

?

Education :

? Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering , or a related technical field. ?

Essential Skills :

? Proficiency in Python (data processing, automation, model deployment). ? Experience with API development and third-party system integrations. ? Solid understanding of machine learning and AI with hands-on experience in building models. ? Strong communication skills for explaining complex analyses to various audiences. ?

Preferred Skills :

? Familiarity with front-end development (HTML, JavaScript) for data-related web applications. ? Experience with Salesforce CRM , Apex coding , or similar CRM tools. ? Proficiency in AWS services for data storage, processing, or model deployment.

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