Make more Creative Job Post Content< Machine Learning Engineer | Data Science & Analytics
- Responsibilities:
Location: Phoenix, AZ, 85004-3903
Company: APS
Are you passionate about turning data into actionable insights and solving complex problems with machine learning? Join APS as a Machine Learning Engineer and play a key role in driving innovation across our energy solutions. Your work will shape the future of sustainable energy through cutting-edge analytics, scalable architectures, and advanced ML models.
What You'll Do
As a Machine Learning Engineer at APS, your day-to-day will include:
MLOps & Deployment
- Design, build, deploy, and monitor ML models that improve business operations.
- Implement scalable solutions for processing and analyzing large data sets.
- Build CI/CD pipelines, containerized solutions, and robust monitoring systems.
Data Science Collaboration
- Partner with data scientists, architects, and cross-functional teams to design impactful solutions.
- Create innovative models, algorithms, and visualizations that uncover actionable insights.
Technical Leadership
- Mentor junior team members and conduct code reviews to ensure best practices.
- Develop comprehensive documentation and architecture diagrams for scalable solutions.
End-to-End Analytics
- Consult with stakeholders to understand business needs and translate them into data-driven solutions.
- Perform advanced data modeling, analysis, and prediction to address real-world challenges.
What We’re Looking For
Basic Qualifications:
- Education: Bachelor’s in Data Science, Computer Science, Engineering, Mathematics, or a related field.
- Experience:
- 6+ years in data analytics, data science, predictive modeling, and ML solutions (or 4+ years with an advanced degree).
- Proficiency in Python, SQL, and cloud-based ML tools (Azure, AWS, etc.).
- Hands-on experience with MLOps practices, deployment pipelines, and cloud technologies.
Preferred Skills:
- Master’s or Doctorate in a relevant field.
- Expertise in PyTorch, TensorFlow, or other ML frameworks.
- Experience with generative AI and integrating ML inferences with web services.
- Familiarity with tools like Kubernetes, Docker, and PySpark for scaling infrastructure.
- Strong problem-solving, analytical, and communication skills.
Why Join APS?
Impactful Work
At APS, you’ll work on projects that drive meaningful change in energy solutions, focusing on sustainability, efficiency, and innovation.
Professional Growth
We foster a collaborative environment where you’ll work with industry experts, learn cutting-edge technologies, and mentor others to grow your career.
Flexible Work Environment
Enjoy the flexibility of a home-based role, working primarily from your home office with as-needed visits to an APS facility.
Equal Opportunity Employer
APS is dedicated to providing equal opportunities for all individuals, promoting diversity, equity, and inclusion.
