Top Skills' Details
Onsite 4 days a week, Monday required onsite
1 year contract
Years of experience: Our client is open to someone recently out of university who is smart, hard working and willing to learn. They need to have the understanding of gathering data, building models, and getting the data to users.
Top Technical Skills
- SQL: gather and query data
- Data Modeling Experience: build models, understand different scenarios for different models
- Problem solving mind set: seeks out solutions independently, wants to learn new things and apply this knowledge
Nice To Have
Operations Research Background: they are building AI tooling to calculate freight cost in supply chain and logistics
BASIC FUNCTION (Primary Purpose)
Build and implement scalable machine learning solutions across the entire ML lifecycle, from data processing to model deployment. Work with cross-functional teams to deliver impactful solutions while designing and implementing end-to-end machine learning pipelines and optimizing data processing workflows.
Description
Official JD Below: Manager is flexible on these skills but will learn on the job
Description of duty/responsibility
70%
- Design and implement end-to-end machine learning pipelines
- Build and optimize data processing workflows
- Deploy and monitor ML models in production environments
- Create proof-of-concept applications to validate ML solutions
- Define model monitoring criteria
- Ensure model quality assurance
- Perform exploratory data analysis to provide insights to be used in decision making
30%
- Collaborate with engineering teams to develop scalable solutions
- Document technical processes and maintain code quality standards
- Participate in stakeholder management and cross-functional collaboration
- Monitor analytics project pipeline and track analytics impact on business
Scope
Work across the entire machine learning lifecycle while collaborating with cross-functional teams. Design, implement, and maintain scalable ML solutions, from data processing to model deployment. Responsible for optimizing performance, ensuring code quality, and delivering impactful solutions that meet business requirements.
Qualifications And Educational Requirement(s)
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
Technical Requirements
- Programming Languages and Tools:
- Python (Advanced): pandas, numpy, scikit-learn, matplotlib, seaborn, TensorFlow/PyTorch
- SQL: Advanced query optimization and database design
- Shell Scripting: Bash/Shell for automation
- R, Java/Scala, JavaScript (Nice to have)
- Tools and Platforms:
- Version Control: Git
- Containers: Docker, Kubernetes
- Cloud Platforms: AWS, GCP, or Azure
- ML Ops: MLflow, DVC, or similar
- Big Data: Spark, Hadoop ecosystem
- CI/CD: Jenkins, GitLab CI, or similar
- Data processing and feature engineering
- Model development and optimization
- ML pipeline design and implementation
- Production deployment and monitoring
- Performance optimization
- Code versioning and documentation
- Strong problem-solving abilities
- Excellent written and verbal communication
- Project management capabilities
- Attention to detail
Preferred Qualifications
- Experience with ML ops tools
- Knowledge of distributed computing frameworks
- Experience with real-time prediction systems
- Familiarity with A/B testing and experimental design
- Relevant certifications (AWS ML Specialty, Google Professional ML Engineer)
- Open-source contributions or research publications
- Experience with agile development methodologies
Skills
data science, SQl, data modeling, machine learning, data, predictive modelling, python, data analysis
Top Skills Details
data science, SQl, data modeling, machine learning, data, predictive modelling, python
Additional Skills & Qualifications
Open to recent grads who has done internships or looking for experience.
Experience Level
Entry Level
Pay And Benefits
The pay range for this position is $35.00 - $50.00
Requirements
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Tampa,FL.
Application Deadline
This position will be accepting applications until Jan 31, 2025.
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.
