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Alliance of Professionals & Consultants, Inc.
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Machine Learning Engineer
10 Peachtree Place NE Atlanta, GA 30309 US
Posted: 07/30/2024
2024-07-30
2024-09-08
Industry: IT Functional
Job Number: 38728
Work Location: Work from home flexibility
Job Description
Job Title: Machine Learning Engineer
Type of Engagement: 1-year contract (Not open to 3rd party C2C consultants. Visa sponsorship is not available)
Work Location: Atlanta, GA (Hybrid Schedule 3 Days In-Office/2 Remote)
The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences.
Essential Job Responsibilities:
Requirements & Skills:
Big Bonus Points if you Have:
Job Requisition # 38728
A reasonable estimate of the pay range for this role is $60.00 - $65.00 per hour. The disclosed pay range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The compensation decisions are dependent on the facts and circumstances of each case, such as skills and experience levels.
Meet APC
APC is a professional staffing and services organization focused on engaging people and positively impacting lives. As “Professionals serving Professionals”®, we take pride in providing our employees and contractors with the highest level of customer service and support.
APC is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status. #LI-Hybrid, #LI-WC1
Type of Engagement: 1-year contract (Not open to 3rd party C2C consultants. Visa sponsorship is not available)
Work Location: Atlanta, GA (Hybrid Schedule 3 Days In-Office/2 Remote)
The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences.
Essential Job Responsibilities:
- Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications.
- Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions.
- Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure.
- Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement.
- Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems.
- Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions.
- Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner.
Requirements & Skills:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience in developing and deploying machine learning models and algorithms.
- Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure).
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Ability to work effectively in a collaborative, cross-functional team environment.
- Strong problem-solving skills and a passion for tack
Big Bonus Points if you Have:
- Experience with big data technologies such as Hadoop, Spark, or similar.
- Knowledge of deep learning architectures and techniques.
- Previous experience in natural language processing (NLP) or computer vision projects.
- Understanding of version control systems like Git.
Job Requisition # 38728
A reasonable estimate of the pay range for this role is $60.00 - $65.00 per hour. The disclosed pay range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The compensation decisions are dependent on the facts and circumstances of each case, such as skills and experience levels.
Meet APC
APC is a professional staffing and services organization focused on engaging people and positively impacting lives. As “Professionals serving Professionals”®, we take pride in providing our employees and contractors with the highest level of customer service and support.
APC is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status. #LI-Hybrid, #LI-WC1
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APC is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status. **California Consumer Protection Act
