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Machine Learning Engineer Opt Jobs in Edgewater, FL

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Develop and implement AI solutions using advanced machine learning techniques and algorithms. Work with Large Language Models (LLM) to enhance natural language processing capabilities. Write ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

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Machine Learning Engineer Opt information

See Edgewater, FL salary details

$28.5K

$116.4K

$174.9K

How much do machine learning engineer opt jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer opt in Edgewater, FL is $116,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $140,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What cities near Edgewater, FL are hiring for Machine Learning Engineer Opt jobs?

Cities near Edgewater, FL with the most Machine Learning Engineer Opt job openings:

AI Engineer

Lake Mary, FL • On-site

$60K - $135K/yr

Contractor

Medical, Dental, PTO

Re-posted 3 hours ago


Job description

Job Description:

Detailed JD -

have expertise in AI, Large Language Models (LLM), and Python scripting. Exposure to Anti-Money Laundering (AML) is preferred. This role involves developing and implementing AI solutions, working closely with cross-functional teams, and contributing to the advancement of our AI capabilities.

4-6+ years of experience in AI development and machine learning.

Proven track record of successfully delivering AI solutions in a professional setting.

Strong understanding of data structures, algorithms, and software design principles.

Key Responsibilities:

Develop and implement AI solutions using advanced machine learning techniques and algorithms.

Work with Large Language Models (LLM) to enhance natural language processing capabilities.

Write efficient and scalable Python scripts to support AI and machine learning projects.

Collaborate with cross-functional teams to design and deliver AI-powered products and services.

Deploy AI models and solutions in production environments, ensuring robustness and scalability.

Conduct research and stay updated with the latest advancements in AI and machine learning.

Provide technical guidance and mentorship to junior team members.

Must-Have Skills

12+ Years of exp Strong expertise in Artificial Intelligence (AI) and machine learning techniques.

Proficiency in working with Large Language Models (LLM).

Advanced Python scripting skills.

Experience in developing and deploying AI models in production environments.

Strong problem-solving and analytical skills.

Excellent communication and teamwork abilities.

Preferred Skills:

Exposure to Anti-Money Laundering (AML) processes and regulations.

Experience with AI tools and frameworks.

Knowledge of cloud platforms and services related to AI and machine learning.

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Mandatory Skills: AI CoE Consulting .

Experience: 5-8 Years .

Expected annual pay for this role ranges from $60,000 to $1,35,000 . Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.