Machine Learning Engineer / Data Scientist – AI/ML(In-Person Interview Needed)

At USEReady,

We empower people to succeed with data. USEReady is a data and analytics firm that provides the strategies, tools, capability and capacity that businesses need to turn their data into a competitive advantage. USEReady partners with cloud and data ecosystem leaders like Tableau, Salesforce, Snowflake and Amazon Web Services, and has been named Tableau partner of the year multiple times.

Headquartered in NYC, the company has 600+ employees across offices in the U.S., Canada, Singapore and India and specializes in financial services. USEReady’s deep analytics expertise, unique player/coach approach and focus on fast results makes the company a perfect partner for a cloud-first, digital world.

Job Title: Machine Learning Engineer / Data Scientist – AI/ML

Location: Alpharetta, GA(In-Person interview must)

Job Type: Long term Contract/FTE

Job Description:

We are seeking a highly skilled and motivated Machine Learning Engineer/Data Scientist with expertise in data science, machine learning, and AI/ML model optimization. The ideal candidate will have a strong foundation in improving model efficiencies, a passion for innovation in MLOps (Machine Learning Operations), and a deep understanding of AI/ML governance frameworks.

This role requires someone who is not only technically proficient but also eager to learn new skills, embrace challenges, and thrive in a fast-paced, collaborative environment. You will be part of a global team, working on projects that push the boundaries of AI/ML capabilities while ensuring robust governance and ethical practices.

Key Responsibilities:.
• Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance.
• Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance.
• Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
• Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards.
• Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows.
• Conduct research and experimentation to identify new approaches for improving model performance and efficiency.
• Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
• Mentor and guide junior team members, fostering a culture of continuous learning and innovation.

Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in data science, machine learning, and AI model development.
• Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with AI/ML governance frameworks and ethical AI practices.
• Excellent problem-solving skills and the ability to handle complex, ambiguous challenges.
• Strong communication and collaboration skills, with the ability to work in a global team environment.