AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Plano (TX); On-site; USD 130,000 - 210,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX seeks an AI/ML Engineer with 7–8 years total experience and at least 5 years as an individual contributor in ML. You will collaborate with ML engineers and scientists to design and implement advanced models and production workflows.

Responsibilities include building agent-based workflows, prompt strategies (CoT/ToT/GoT), and applying MLOps across AWS SageMaker, Bedrock, GCP, and Azure.

Qualifications

• Total experience 7–8 years in ML/AI domains.
• Minimum 5 years as an individual contributor in ML engineering.
• Hands-on experience with ML teams and production-grade workflows.
• Experience with agent-based workflows, prompting strategies, and RAG.
• Strong knowledge of MLOps and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure).
• Ability to write clear OKRs and align with business goals.
• Solid understanding of the software development life cycle, agile methodologies, and data engineering.

Responsibilities

• Proven experience working with teams of ML engineers or scientists.
• Hands-on experience with agent based workflows, MCP, RAG and context engineering.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies.
• Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure).
• Ability to write clear and concise OKRs and align with business expectations.
• Experience with GitHub
• Solid understanding of software development life cycle, agile methodologies, and data engineering.

Skills

Agent-based workflows

Chain-of-Thought prompting

Tree-of-Thought prompting

Graph-of-Thought prompting

MLOps

OKRs

GitHub

SDLC

Agile methodologies

Data engineering

Tools

GitHub

Job description

Job Overview

• Job ID: J52830
• Job Title: AI/ML Engineer
• Location: Plano, TX
• Duration: 12 Months + Extension
• Domain Exposure: Healthcare,Banking & Finance,Insurance,Retail,Oil & Gas,IT/Software
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Minimum 7-8 years of total experience

Minimum 5 years as an individual contributor in ML engineering

Responsibilities and Requirements

• Proven experience working with teams of ML engineers or scientists
• Hands-on experience with agent based workflows, MCP, RAG and context engineering.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies
• Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
• Ability to write clear and concise OKRs and align with business expectations
• Experience with GitHub
• Solid understanding of software development life cycle, agile methodologies, and data engineering

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.