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Machine Learning Engineer Associate Jobs in Miami, FL

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Additional ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Security ...

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Security ...

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...

New

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

AI / ML Engineer We partner with companies pushing the boundaries of technology - and we're looking ... If you love working with data, designing machine learning models, and turning complex algorithms ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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Machine Learning Engineer Associate information

See Miami, FL salary details

$39.7K

$79K

$126.3K

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

As of Jun 20, 2026, the average yearly pay for machine learning engineer associate in Miami, FL is $79,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $90,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Miami, FL? The most popular types of Machine Learning Engineer jobs in Miami, FL are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Miami, FL? For Machine Learning Engineer Associate jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Miami, FL look for? The top searched job categories for Machine Learning Engineer Associate jobs in Miami, FL are:
What cities near Miami, FL are hiring for Machine Learning Engineer Associate jobs? Cities near Miami, FL with the most Machine Learning Engineer Associate job openings:
Senior Engineer AI and Machine Learning

Senior Engineer AI and Machine Learning

Tata Consultancy Services

Fort Lauderdale, FL • On-site

$117K - $154K/yr

Full-time

Posted 12 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

154th of 204 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Senior Engineer specializing in AI and Machine Learning. The role involves developing full-stack solutions utilizing C# and ReactJS, with a strong focus on integrating AI services, particularly GenAI and LLM.
Responsibilities:
• Full Stack Developer (C# or equivalent Object-Oriented Programming), ReactJS (or equivalent modern web front end)
• Strong API and backend components (Azure functions or equivalent)
• SQL or no-SQL (one of them is a must)
• Experience building services that utilize and integrate GenAI / LLM
• Experience designing and implementing AI Agents (using MCP, A2A frameworks)
• Experienced in DevOps practices (CI/CD, Observability, Telemetry, Monitoring & Alerting)
• Strong collaborator and communicator
• Accessibility Assessment and Remediation
Qualifications:
Required:
• AI/ML
• Gen AI
• C# 5.0
• Digital : HTML5-CSS3
• Foundation: JavaScript
• Digital : Chatbots / Conversational Agents
• Digital : ReactJS
• Full Stack Developer (C# or equivalent Object-Oriented Programming)
• ReactJS (or equivalent modern web front end)
• Strong API and backend components (Azure functions or equivalent)
• SQL or no-SQL (one of them is a must)
• AI Experience – Must Have: Experience building services that utilize and integrate GenAI / LLM
• Good to have: Experience designing and implementing AI Agents (using MCP, A2A frameworks)
• Experienced in DevOps practices (CI/CD, Observability, Telemetry, Monitoring & Alerting)
• Strong collaborator and communicator
• Accessibility Assessment and Remediation
• Must be a U.S. Citizen
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US