Dice is the leading career destination for tech experts at every stage of their careers. Our client, TEKsystems c/o Allegis Group, is seeking the following. Apply via Dice today!
Top Skills:
- Azure
- NLP
- Machine Learning Engineering
- Preference on chatbot experience.
Description:
This team is a business team, directly aligned to add value to data related projects supporting the business needs. Requests come in from all business groups including marketing, construction management, finance, user experience and more. The team is expanding, and supporting project based work that has been approved through a new approval process. In this scenario, the User Experience Team has asked them to build a Chat bot by the end of the year. A new team of three resources is being brought in to complete this work, as well as our existing Data Scientist on the team.
Machine Learning Engineer
We are looking for a skilled and motivated Machine Learning Engineer to join our client. As a Machine Learning Engineer, you will 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.
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.
Technical Requirements:
- 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, Google Cloud Platform, 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 tackling complex challenges.
- Excellent communication and presentation skills.
Preferred Qualifications:
- 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).
- Understanding of version control systems like Git.
Additional Skills & Qualifications:
Team is on site 3 days week. The team has three functions: Innovation, Insights, and Design. Innovation will be tied to how do they keep investing in technologies and trying work that would be new. Insights would be providing data insights for the business, and design is the look and feel of the reports. Their workflow is comprised of a front end team that would be intaking business requests, documenting the requirements. Then the requirements go to a Data Architect who would build out the logical data model. Once this model is built they pass it over to a parallel team who does the technical build on the Azure platform.
Experience Level: Intermediate Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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