At Stellar Elements, we're good people against bad experiences.
Whether it's customer, employee, or brand experience-we focus on closing the gap between business needs and what people actually desire. This takes passionate problem-solvers, brilliant minds, and deep wells of empathy.
Our clients love working with us because we understand their challenges, understand their customers, and we do great work while making each step of the process inspiring and energizing. We are a global force of nearly 1,000 experience expertsand a collection of curious mindswith a vibrant array of talents and backgrounds-united in creating better experiences for all.
Senior Machine Learning Engineer
Job Description:
We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join our Atlanta team. As a Senior Machine Learning Engineer, you will be responsible for leveraging data science techniques, statistical modeling, and machine learning algorithms to develop innovative solutions. The ideal candidate will have a strong background in data science, proficient in Python programming, and experience with machine learning frameworks. Additionally, familiarity with graph databases and neural network modeling is highly desirable.
Proven machine learning experience with AWS Sagemaker is required.
Key Responsibilities:
•Conduct data exploration to gain insights and identify patterns within large datasets.
•Design and implement data warehousing and aggregation strategies to support machine learning model development.
•Develop and implement machine learning models using various techniques such as supervised learning, unsupervised learning, and deep learning.
•Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
•Utilize AWS Sagemaker for model development and deployment.
•Optimize and fine-tune machine learning models for performance and scalability.
•Stay updated with the latest advancements in machine learning and data science techniques.
Skills and Qualifications:
•Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
•Proven experience in data science, statistical modeling, and Python programming.
•Strong understanding of machine learning algorithms and techniques.
•Familiarity with graph databases and neural network modeling is a plus.
• REQUIRED: Proven machine learning experience with AWS Sagemaker.
•Excellent problem-solving skills and attention to detail.
•Strong communication and collaboration skills.
•Ability to work independently and in a team environment.
Activities:
•Data Exploration: Analyzing and visualizing data to gain insights and identify patterns.
•Data Warehousing/Aggregation Design: Designing and implementing data storage and aggregation solutions to support machine learning model development.
•Model Development: Developing and implementing machine learning models using various techniques to solve business problems.
If you are passionate about leveraging data science and machine learning to drive innovation, we encourage you to apply for this exciting opportunity. Join us in shaping the future of machine learning technologies!
Office location: Atlanta, GA
Work environment: Flexible hybrid schedule - 2 to 3 days in office.
Benefits:

• Medical, Dental, Vision
• Life Insurance
• Short-Term & Long-Term Disability Insurance
• 401k
• ESPP
• Vacation without Limits
• Paid Holidays
• Udemy plus training & other learning resources through Amdocs

#LI-hybrid
If this sounds like you, let's talk!
Direct applicants only, no agency submittals please. Benefits only apply to full-time hires.
We are an equal opportunity employer
Stellar Elements and its subsidiaries complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.