- +2
- +11
- United States
About
About Client:
The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries.
Rate Range: $60-$65/hr
Job Description:
A Data Engineer with Machine Learning (ML) experience is a specialized role that combines data engineering skills with the ability to implement and manage machine learning models.
Here are some key responsibilities and skills typically associated with this role.
Responsibilities:
Data Pipeline Development : Design, build, and maintain scalable data pipelines to support machine learning workflows.
Data Integration : Integrate data from various sources, ensuring data quality and consistency.
Model Deployment : Deploy machine learning models into production environments, ensuring they are scalable and reliable.
Collaboration : Work closely with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions.
Performance Optimization : Optimize data processing and machine learning model performance.
Monitoring and Maintenance : Monitor data pipelines and machine learning models to ensure they are functioning correctly and efficiently.
Years of experience needed -
7 + Years of Experience
Technical Skills:
Programming : Proficiency in languages such as Python, Java, and SQL.
Data Engineering Tools : Experience with tools like Apache Spark, Hadoop, and Kafka.
Machine Learning Frameworks : Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Cloud Platforms : Experience with cloud services like AWS, Google Cloud, or Azure.
Database Management : Knowledge of both SQL and NoSQL databases.
Data Visualization : Ability to create visualizations to communicate data insights effectively.
About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com.
Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.
Nice-to-have skills
- Python
- Java
- SQL
- Hadoop
- Kafka
- TensorFlow
- PyTorch
- Scikit-learn
- AWS
- Azure
- Data Visualization
Work experience
- Data Engineer
- Machine Learning
Languages
- English