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Machine Learning Engineer New Grad Jobs in Plano, TX

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Equinix, Inc.

AI/Machine Learning Engineer

Dallas, TX · On-site

Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ... new hire pay for the full-time position determined by role, level, and location. The pay range ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Plano, TX

Machine Learning Engineer New Grad information

See Plano, TX salary details

$30.1K

$123.2K

$185.2K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning engineer new grad in Plano, TX is $123,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,300.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Plano, TX? For Machine Learning Engineer New Grad jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Plano, TX look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Plano, TX are:
What cities near Plano, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Plano, TX with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Plano, TX as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $123,243 per year, or $59.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Tiger Analytics Inc.

Plano, TX • On-site

Other

Posted 5 days ago

Job description

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Requirements


We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.

Key Responsibilities:
  • Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS).
  • Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others.
  • Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem.
  • Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
  • (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities.
  • Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices.
Required Skills & Experience:
  • 5+ years of hands-on software development experience with Python.
  • Proven expertise in FastAPI and microservice architecture.
  • Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools.
  • Proficiency in LLM API integration and working with Generative AI frameworks.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity with Bedrock AgentCore or other agentic systems (nice to have).
Why Join Us:

You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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