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Deep Learning Developer Jobs in Fort Lauderdale, FL

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and ... You will partner with senior business stakeholders and engineering leaders to uncover insights ...

Sr ML Engineer

Davie, FL · On-site

$95K - $131K/yr

Hybrid Davie, FL Duration: 6+months contract * 8+ years of Machine Learning Engineering or Applied ... Deep understanding of feature engineering and ML lifecycle management. * Experience partnering with ...

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

... learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions. Position Responsibilities: * Collaborate with stakeholders to engineer innovative ...

Sr ML Engineer

Davie, FL · On-site

$82/hr

H-1B * OPT-EAD * GC-EAD Required Qualifications * 8+ years of Machine Learning Engineering or ... Deep understanding of feature engineering and ML lifecycle management. * Experience partnering with ...

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and ... You will partner with senior business stakeholders and engineering leaders to uncover insights ...

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar ... Improve the feature engineering and model training pipelines that power our production systems

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP ... Proven ability to define and enforce clean code standards and software engineering best practices ...

Collaborate with engineering, product, and data science teams to understand requirements ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... learning and deep learning techniques effectively - Excelling in complex data analysis and ...

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... learning and deep learning techniques effectively - Excelling in complex data analysis and ...

Senior-level or above: deep experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms * Strong fundamentals in Python; comfortable picking up new ones

Showing results 21-40

Deep Learning Developer information

See Fort Lauderdale, FL salary details

$17

$36

$48

How much do deep learning developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for deep learning developer in Fort Lauderdale, FL is $36.75, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $40.91 per hour, depending on experience, location, and employer.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

What are the key skills and qualifications needed to thrive as a deep learning developer?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

Infographic showing various Deep Learning Developer job openings in Fort Lauderdale, FL as of June 2026, with employment types broken down into 1% As Needed, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,434 per year, or $36.7 per hour.

Lead Data Scientist

Compass

Aventura, FL • On-site

$175K - $195K/yr

Full-time

Posted 14 days ago


Compass Real Estate rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 209 rated real estate companies


Job description

About the Role:

We are seeking a highly skilled and motivated Lead Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy. You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation.

Responsibilities:

  • Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis.
  • Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling the organization's most highly ambiguous and open-ended problems.
  • Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.
  • Synthesize and communicate highly complex methodologies, technical trade-offs, and strategic findings clearly to both C-level executives and technical audiences.
  • Act as a technical mentor to other data scientists, fostering a culture of continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.

Qualifications:

  • Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.
  • 5+ years of experience in data science with a proven track record of conceptualizing, leading, and delivering highly successful, end-to-end data science projects.
  • Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference).
  • Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP).
  • Demonstrated proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development.
  • Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows.
  • Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems.
  • Strong advocate for clean code principles, software engineering best practices, and technical standards.
  • Strong business acumen and strategic thinking, with a proven ability to understand the broader business context, evaluate tradeoffs, and align analytical projects with organizational goals.
  • Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges.
  • Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment.
  • Experience in the Real Estate industry or other market-driven domains is a plus.

Compensation: The base pay range for this position is $175,500-195,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.


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