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Ml Inference Jobs in Florida (NOW HIRING)

BAE Systems

AI / ML Solutions Engineer

Okaloosa Island, FL · On-site

$108K - $184K/yr

As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI ... Strong understanding of data modeling, statistical inference, and machine learning techniques.

New

AssemblyAI

Senior Software Engineer, Inference

Miami, FL

$190K - $225K/yr

Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 ... Genuine curiosity about AI/ML. You don't need to be a researcher, but you should want to understand ...

SPEROS

AI/ML Engineer Precision Oncology

Tampa, FL · On-site

The AI/ML Engineer works at the intersection of machine learning engineering, multimodal data ... Develop scalable data pipelines, model-training workflows, inference services, and software ...

Rempli

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Build and maintain scalable data pipelines for AI/ML use cases * Design data architectures for structured and unstructured data * Prepare datasets for training, fine-tuning, and inference * Ensure ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · On-site

Apply causal inference methods to understand the impact of potential product changes. * Define and build new ML features using text and multimodal embeddings and GenAI. * Validate offline learnings ...

PODS

Engineer II - Machine Learning

Clearwater, FL · On-site

$101K - $121K/yr

... ML models (batch and real-time) with reliable inference jobs/APIs, SLAs, and observability • Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto-heal training ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site

$47.50 - $65/hr

Design, build, and maintain scalable data pipelines supporting model training, inference, batch processing, and real-time analytics workflows. * Audit, refactor, and consolidate existing ML pipelines ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site

$49 - $67/hr

Design, build, and maintain scalable data pipelines supporting model training, inference, batch processing, and real-time analytics workflows. * Audit, refactor, and consolidate existing ML pipelines ...

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Ml Inference information

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

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For Ml Inference jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ml Inference jobs in Florida look for?

The top searched job categories for Ml Inference jobs in Florida are:

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Ml Inference jobs near you

AI / ML Solutions Engineer

Okaloosa Island, FL • On-site

BAE Systems
National Security and International Affairs • 10K+ employees
Learn more about BAE Systemsexternal

$108K - $184K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

Job description

Job Description
BAE Systems Inc is seeking a talented AI/ML Engineer to join our Enterprise Integration team and contribute to enterprise-level complex business solutions. As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics opportunities.
We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.
Responsibilities:
  • Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language models.
  • Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.
  • Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.
  • Produce visualizations and insights with the goal of communication to both technical and non-technical audiences.
  • Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.
  • Participate in BAE Systems citizen developer programs centered around AI and become a resource for the system admin and integration services team.
  • Work closely with the existing AI/ML team at BAE Systems to leverage their expertise, share knowledge, and drive innovation in AI/ML solutions.

Required Education, Experience, & Skills
Education:
  • 8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning.
  • Bachelor's degree in a related field or equivalent combination of education and work experience.
  • Excellent communication and presentation skills.
  • Experince with canonical standards.
  • Strong understanding of large language models (LLMs) and their applications in AI.
  • Experience with Agent + RAG system and its application in data science and AI.
  • Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.
  • Experience with data visualization tools such as Tableau, Power BI, and others.
  • Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.
  • Experience with data mapping and modeling is a plus.
  • Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis.

Preferred Education, Experience, & Skills
Preferred Education
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
  • Experience working with large datasets and high-performance computing environments.
  • Strong understanding of data modeling, statistical inference, and machine learning techniques.
  • Experience with Docker and containerization
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
  • Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)
    #LI-DM2
    #LI-Remote

Pay Information
Full-Time Salary Range: $108787 - $184937
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.
Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

What BAE Systems employees say

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About BAE Systems

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At BAE Systems, we provide some of the world's most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of more than 93,000 in around 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Industry

National security and international affairs and it services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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