Machine Learning Engineer

Insight Global; Dallas (TX); On-site; USD 90,921 - 112,963; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA

FSA

DCFSA

401k with employer matching

Paid time off

Job summary

Insight Global in Dallas, TX is seeking an experienced machine learning professional to design, deploy, and support ML solutions that drive business outcomes. You will partner with Data Analytics and Engineering teams to build robust AI workflows using Python, SQL, and cloud platforms.

You will handle data prep, model evaluation, and production-scale deployment while leveraging LLMs to accelerate development and automate tasks. A strong emphasis on hands-on coding and project management.

Qualifications

• Experience with machine learning/AI technologies.
• Experience using LLMs to accelerate development and generate code.
• Ability to prompt AI tools to develop and troubleshoot Python programs.
• Experience with cloud-based platforms such as Snowflake, Databricks, Azure, or AWS.
• Proficiency in SQL for data querying and analysis.
• Strong Python programming skills.
• Bachelor's Degree required.

Responsibilities

• Design, build, deploy, and support ML solutions with Data Analytics and Engineering teams.
• Maintain infrastructure to support ML models including deployment, monitoring, and performance evaluation.
• Write and maintain Python code to support AI initiatives, with hands-on development.
• Support ML lifecycle via data preparation: cleansing, labeling, validation.
• Analyze model performance and optimize solutions for production scalability.
• Work with structured and unstructured data using SQL and cloud technologies.
• Collaborate across ML process phases with strong organization and project management.
• Support ML initiatives by contributing components of the model development lifecycle.
• Leverage AI tools and LLMs to improve development efficiency and automate tasks.

Skills

Machine Learning

Python

SQL

Prompt AI tools

LLMs

Cloud platforms

Education

Bachelor's Degree

Tools

Snowflake

Databricks

Azure

AWS

Job description

Pay Rate

$66 - $82 (hourly estimate)

Job Description

• Partner closely with the Data Analytics and Engineering teams to design, build, deploy, and support machine learning solutions that drive business outcomes
• Assist in developing and maintaining the infrastructure required to support machine learning models, including deployment, monitoring, and ongoing performance evaluation
• Write and maintain Python-based code to support AI and machine learning initiatives, with a strong emphasis on hands-on development and execution
• Support the machine learning lifecycle through data preparation activities, including data cleansing, organization, labeling, and validation
• Analyze model performance, identify improvement opportunities, and help optimize solutions for scalability and effectiveness in production environments
• Work with structured and unstructured data using SQL, cloud platforms, and related technologies to support model development and deployment efforts
• Collaborate across multiple phases of the machine learning process, requiring strong organization, attention to detail, and project management skills
• Contribute to machine learning initiatives by supporting key components of the model development lifecycle, rather than being solely responsible for building solutions entirely from scratch
• Leverage AI tools and Large Language Models (LLMs) to improve development efficiency, automate tasks, and accelerate solution delivery

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Skills & Experience

• Prior experience working with Machine Learning and/or AI technologies
• Experience leveraging Large Language Models (LLMs) such as Claude, ChatGPT, or similar tools to accelerate development, automate tasks, and generate code solutions
• Ability to effectively prompt AI tools to create, troubleshoot, or enhance Python programs and workflows
• Experience with cloud-based platforms and environments such as Snowflake, Databricks, Azure, or AWS
• Familiarity with cloud compute resources and cloud-based databases
• Strong SQL skills for data querying and analysis
• Proficiency in Python programming
• Bachelor's Degree required

Nice to Have Skills & Experience

• End-to-end machine learning model development and deployment experience

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.