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Elasticsearch Remote Jobs in Florida (NOW HIRING)

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML ... Elasticsearch * Data Visualization (Power BI/Tableau) Required Qualifications * Bachelor's or ...

Team Velocity

Senior Full Stack .NET Developer

Tampa, FL · Remote

$150K - $175K/yr

Senior Full Stack .NET Developer Remote | $150,000-$175,000 Annually We are seeking a highly ... such as Redis, Elasticsearch, Kafka, Snowflake, Cassandra, or similar technologies * Strong ...

Posted today

All JobsElasticsearch JobsElasticsearch Remote JobsElasticsearch Remote Jobs in Florida

Elasticsearch Remote information

See Florida salary details

$62.4K

$94.9K

$127.8K

How much do elasticsearch remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for elasticsearch remote in Florida is $94,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $107,200.00 per year, depending on experience, location, and employer.

What is an Elasticsearch remote?

An Elasticsearch Remote job is a position where professionals work with Elasticsearch, a powerful search and analytics engine, from a remote location. These roles typically involve tasks such as optimizing search performance, managing Elasticsearch clusters, and integrating Elasticsearch with various applications. Remote Elasticsearch professionals can work as developers, engineers, or administrators, ensuring efficient indexing, querying, and data management. Companies hire remote Elasticsearch experts to maintain and scale their search infrastructure without requiring on-site presence. This type of job offers flexibility while allowing specialists to contribute to large-scale data and search projects.

What does an Elasticsearch remote do?

As a remote Elasticsearch specialist, your daily tasks often include configuring and managing Elasticsearch clusters, monitoring performance, optimizing queries, and troubleshooting data issues. You will also work with development and DevOps teams to implement new features and ensure the reliability and scalability of search infrastructure. Regular collaboration via chat, video meetings, and project management tools is common, and you may participate in peer code reviews and knowledge-sharing sessions. Staying up to date with the latest Elasticsearch developments and documenting best practices are also important aspects of the role.

What are the key skills and qualifications needed for an Elasticsearch remote?

To thrive as an Elasticsearch Remote professional, you need strong experience with Elasticsearch, data indexing, distributed systems, and query optimization, typically supported by a background in computer science or a related field. Familiarity with tools such as Kibana, Logstash, Beats, as well as cloud platforms (AWS, GCP, or Azure), and relevant certifications like Elastic Certified Engineer are often required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial for success in a distributed work environment. These competencies ensure that you can build, maintain, and improve scalable search solutions while collaborating efficiently across remote teams.

What are the most commonly searched types of Elasticsearch jobs in Florida?

The most popular types of Elasticsearch jobs in Florida are:

What are popular job titles related to Elasticsearch Remote jobs in Florida?

For Elasticsearch Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Elasticsearch Remote jobs in Florida look for?

The top searched job categories for Elasticsearch Remote jobs in Florida are:

What cities in Florida are hiring for Elasticsearch Remote jobs?

Cities in Florida with the most Elasticsearch Remote job openings:

Elasticsearch Remote jobs near you
Infographic showing various Elasticsearch Remote job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $94,929 per year, or $45.6 per hour.

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

Job Summary

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy machine learning models.
  • Build and optimize Generative AI and LLM-based applications.
  • Fine-tune foundation models for business-specific use cases.
  • Develop Retrieval-Augmented Generation (RAG) pipelines.
  • Work with vector databases for semantic search applications.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Integrate AI models into production environments using APIs.
  • Monitor model performance and implement continuous improvements.
  • Collaborate with Product Managers, Data Scientists, and Software Engineers.
  • Maintain technical documentation and best practices.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain / LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • OpenAI API / Azure OpenAI
  • Vector Databases (Pinecone, FAISS, ChromaDB)
  • Prompt Engineering
  • TensorFlow / PyTorch
  • FastAPI
  • Docker
  • Git
Secondary Skills
  • SQL
  • Azure / AWS / GCP
  • Kubernetes
  • MLflow
  • Hugging Face Transformers
  • CI/CD Pipelines
  • REST APIs
  • Linux
  • Elasticsearch
  • Data Visualization (Power BI/Tableau)
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–7 years of experience in Machine Learning or AI development.
  • Strong programming skills in Python.
  • Experience with LLMs, RAG, and vector search implementations.
  • Knowledge of software development best practices and Agile methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience deploying AI applications on Azure or AWS.
  • Familiarity with MLOps tools and model monitoring.
  • Experience building AI-powered chatbots or intelligent assistants.
  • Relevant certifications in AI, Machine Learning, or Cloud technologies.
Salary

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

Benefits
  • Health, Dental, and Vision Insurance
  • Performance Bonus
  • Flexible Work Hours
  • Remote Work Options
  • Paid Time Off
  • Learning & Certification Reimbursement
  • Employee Wellness Programs
  • Career Growth Opportunities