AI/ML Engineer

Role: AI/ML Engineer

Location: Omaha, NE (Onsite – 5 days a week)

JOB SUMMARY

We are seeking a mid-level Machine Learning Engineer / AI-ML Developer with 3–7 years of experience to design, build, deploy, and maintain machine learning solutions in production environments. This role requires strong expertise in Python, machine learning libraries, SQL, data pipelines, feature engineering, and model lifecycle management, along with experience working with both structured and unstructured data. The ideal candidate will help translate business problems into scalable analytical and modeling solutions and contribute to the development of production-grade AI/ML systems on cloud platforms such as Azure, AWS, or GCP. This position is based onsite in Omaha, NE.

Responsibilities

Design, develop, and deploy machine learning models

• Build and implement ML models for business use cases using Python and relevant ML libraries.
• Deploy models into production environments with a focus on scalability and reliability.

Develop and maintain data pipelines and feature engineering workflows

• Create and optimize pipelines for data ingestion, transformation, and preparation.
• Support model performance through effective feature engineering and lifecycle management practices.

Translate business problems into analytical and modeling solutions

• Work on real-world business challenges by defining the right ML approach, selecting suitable techniques, and delivering actionable model outputs.

Work with structured and unstructured data

• Analyze and process diverse data types including tabular data, text, and image-based datasets.
• Ensure data quality and suitability for model training and evaluation.

Support model deployment and cloud-based ML solutions

• Contribute to implementation on cloud platforms such as Azure, AWS, or GCP.
• Assist in integrating models into applications and enterprise workflows.

Qualifications

Professional Experience

• 3–7 years of experience in machine learning, data science, or applied AI roles.
• Academic project work may be considered where relevant to machine learning model development and deployment.

Technical Requirements

• Strong hands-on experience with Python, machine learning libraries, and SQL.
• Experience building and deploying machine learning models in production environments, including work with data pipelines, feature engineering, and model lifecycle management.

Preferred Additional Experience

• Exposure to LLMs, Generative AI, RAG, NLP, MLOps, Databricks, Snowflake, Spark, APIs, optimization methods, or streaming data environments is a plus.

The base salary for this position is $ 92,250 to $97,538 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.

The deadline to apply for this position is: 06/27/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role.  Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law.  If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies.

#LI-Onsite
#Omaha
#Nebraska

Physical and Mental Requirements:
 
The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

Equal Employment Opportunity:

Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.

For more information regarding your EEO rights as an applicant, please visit the following websites:

·    English  

·   Spanish

Accommodation:

Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com.  All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.

Artificial Intelligence:

As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.

Work Authorization:

In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.  

For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE